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WO2025035641A1 - Electrocardiogram data analysis method and apparatus, and computer device and storage medium - Google Patents

Electrocardiogram data analysis method and apparatus, and computer device and storage medium Download PDF

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Publication number
WO2025035641A1
WO2025035641A1 PCT/CN2023/133652 CN2023133652W WO2025035641A1 WO 2025035641 A1 WO2025035641 A1 WO 2025035641A1 CN 2023133652 W CN2023133652 W CN 2023133652W WO 2025035641 A1 WO2025035641 A1 WO 2025035641A1
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current
resting
target
leads
assessment score
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PCT/CN2023/133652
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French (fr)
Chinese (zh)
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李小钦
黄庆玺
黄庆红
左能
方红
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毕胜普生物科技有限公司
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Publication of WO2025035641A1 publication Critical patent/WO2025035641A1/en

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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • A61B5/349Detecting specific parameters of the electrocardiograph cycle
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • A61B5/349Detecting specific parameters of the electrocardiograph cycle
    • A61B5/355Detecting T-waves
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • A61B5/349Detecting specific parameters of the electrocardiograph cycle
    • A61B5/358Detecting ST segments
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • A61B5/349Detecting specific parameters of the electrocardiograph cycle
    • A61B5/366Detecting abnormal QRS complex, e.g. widening
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

Definitions

  • the present application relates to an electrocardiogram data analysis method, apparatus, computer equipment and storage medium.
  • the prevention, monitoring and timely rehabilitation of heart disease can effectively reduce the mortality rate of heart disease.
  • how to evaluate cardiac rehabilitation can help doctors provide further rehabilitation guidance and reference suggestions based on cardiac rehabilitation and clinical symptoms.
  • cardiac rehabilitation is usually evaluated based on clinical gold standards or ST-T segment data in electrocardiograms.
  • most clinical gold standards are invasive tests, which will have more or less impact on the physical health of the subjects.
  • ST-T segment data Based on ST-T segment data, the heart health status of the subjects is identified through fuzzy qualitative analysis, and thus the cardiac rehabilitation status is evaluated, which has the problem of low evaluation accuracy. It can be seen that the existing evaluation methods have the problem of not being both non-invasive and non-destructive and being accurate.
  • a method, apparatus, computer device and storage medium for analyzing electrocardiogram data are provided.
  • a method for analyzing electrocardiogram data comprising:
  • the current ECG data collected corresponding to the target ECG detection in the first stage; the current ECG data at least includes the current resting ECG signal;
  • the historical overall risk assessment score is determined by the historical ECG data corresponding to the target ECG detection;
  • Rehabilitation guidance reference indicators are determined according to the current overall risk assessment score, the historical overall risk assessment score, the autonomic nerve control assessment score and the cardiac function assessment score; the rehabilitation guidance reference indicators include an overall risk change indicator and a target risk assessment level.
  • the analyzing the current resting ECG signal to obtain the autonomic nerve control assessment score and the cardiac function assessment score includes:
  • a cardiac function assessment score is determined according to the cardiac function assessment index.
  • the autonomic nerve dominance assessment index includes an average voltage of limb leads and an average voltage of chest leads; and determining the autonomic nerve assessment score according to the autonomic nerve assessment index includes:
  • the autonomic nerve control assessment score is determined according to the ratio of the average voltage of the limb leads to the average voltage of the chest leads.
  • the cardiac function assessment index includes the QRS duration and the current high frequency morphology index corresponding to each resting lead; and determining the cardiac function assessment score according to the cardiac function assessment index includes:
  • the cardiac function assessment score is determined according to the product of the sum of the scores and the coefficient.
  • the cardiac function assessment index further includes at least one of the current number of resting positive leads and an arrhythmia assessment index; and determining the cardiac function assessment score according to the product of the sum of the scores and the coefficient includes:
  • the cardiac function assessment subscore is determined according to at least one of the second cardiac function assessment subscore and the third cardiac function assessment subscore, and the first cardiac function assessment subscore; the second cardiac function assessment subscore is determined by the current number of resting positive leads; and the third cardiac function assessment subscore is determined by the arrhythmia assessment index.
  • the target ECG detection includes a resting ECG detection
  • the current ECG data also includes the age of the subject
  • the analyzing the high-frequency components of the QRS complex in the current ECG data according to the target ECG detection to obtain the current overall risk assessment score includes:
  • the current resting reference feature is determined according to the current high-frequency QRS envelope curve and the age; the current resting reference feature includes the current number of resting positive leads, the current number of resting critical leads, the first target number of leads, the second target number of leads, the current target high-frequency morphology index and the current target root mean square voltage; the first target number of leads refers to the number of resting leads whose current high-frequency morphology index is greater than or equal to the first index threshold; the second target number of leads refers to the number of resting leads whose current root mean square voltage is less than or equal to the first voltage threshold; the current target high-frequency morphology index is the maximum value of the current high-frequency morphology indexes corresponding to each resting lead; the current target root mean square voltage is the minimum value of the current root mean square voltages corresponding to each resting lead;
  • a current overall risk assessment score is determined based on the current resting reference signature.
  • the current ECG data also includes the age of the subject and the current exercise ECG signal; the current overall risk assessment score is obtained by analyzing the high-frequency components of the QRS complex in the current ECG data according to the target ECG detection, including:
  • the current resting reference feature is determined according to the current high-frequency QRS envelope curve and the age; the current resting reference feature includes the current number of resting positive leads, the current number of resting critical leads, the first target number of leads, the second target number of leads, the current target high-frequency morphology index and the current target root mean square voltage; the first target number of leads refers to the number of resting leads whose current high-frequency morphology index is greater than or equal to the first index threshold; the second target number of leads refers to the number of resting leads whose current root mean square voltage is less than or equal to the first voltage threshold; the current target high-frequency morphology index is the maximum value of the current high-frequency morphology indexes corresponding to each resting lead; the current target root mean square voltage is the minimum value of the current root mean square voltages corresponding to each resting lead;
  • the current motion reference feature is determined according to the current high-frequency QRS waveform curve, the age and the current maximum heart rate; the current motion reference feature includes the number of current motion positive leads, the number of current motion critical leads, the number of third target leads, the number of fourth target leads, the number of fifth target leads, and the first amplitude decrease relative value and the second amplitude decrease relative value corresponding to each motion lead;
  • the third target lead number refers to the number of motion leads whose corresponding first amplitude decrease relative value is greater than or equal to the first relative value threshold;
  • the fourth target lead number refers to the number of motion leads whose corresponding current high-frequency QRS waveform curve shows a trend of repeated decrease and increase within a first time period;
  • the fifth target lead number refers to the number of motion leads whose corresponding second amplitude decrease relative value is greater than or equal to the second relative value threshold;
  • a current overall risk assessment score is determined according to the current rest reference feature and the current motion reference feature.
  • determining a current overall risk assessment score according to the current resting reference feature and the current motion reference feature comprises:
  • the current overall risk assessment score is determined according to the current resting reference feature, the current motion reference feature and the current fusion reference feature; the current fusion reference feature includes the current number of resting positive leads, the current number of resting critical leads, the first number of target leads, the current target high-frequency morphology index, the current number of motion positive leads and the current number of motion critical leads, and the relative value of the second amplitude decrease corresponding to each motion lead.
  • determining the rehabilitation guidance reference index according to the current overall risk assessment score, the historical overall risk assessment score, the autonomic nerve control assessment score and the cardiac function assessment score includes:
  • a target risk assessment level is determined according to the current overall risk assessment score, the autonomic nerve innervation assessment score and the cardiac function assessment score.
  • An electrocardiogram data analysis device comprising:
  • An acquisition module used to acquire current ECG data collected corresponding to the target ECG detection in the first stage; the current ECG data at least includes a current resting ECG signal;
  • An analysis module configured to analyze the high frequency components of the QRS complex in the current ECG data according to the target ECG detection to obtain a current overall risk assessment score
  • the analysis module is further used to analyze the current resting ECG signal to obtain an autonomic nerve control assessment score and a cardiac function assessment score;
  • the acquisition module is further used to acquire the historical overall risk assessment score of the subject corresponding to the second stage; the historical overall risk assessment score is determined by the historical ECG data corresponding to the target ECG detection;
  • An evaluation module is used to determine rehabilitation guidance reference indicators based on the current overall risk assessment score, the historical overall risk assessment score, the autonomic nerve control assessment score and the cardiac function assessment score; the rehabilitation guidance reference indicators include an overall risk change indicator and a target risk assessment level.
  • a computer device includes a memory and a processor, wherein the memory stores computer-readable instructions, and the processor implements the steps in various method embodiments when executing the computer-readable instructions.
  • a computer-readable storage medium stores computer-readable instructions, which implement the steps in various method embodiments when executed by a processor.
  • FIG1 is a schematic diagram of a flow chart of an electrocardiogram data analysis method in one embodiment
  • FIG2 is a schematic flow chart of an electrocardiogram data analysis method in another embodiment
  • FIG3 is a block diagram of an electrocardiogram data analysis device in one embodiment
  • FIG. 4 is a block diagram of a computer device in one embodiment.
  • the ECG data analysis method provided in this application can be applied to a terminal, a server, or an interactive system including a terminal and a server, and is implemented through the interaction between the terminal and the server, which is not specifically limited here.
  • the terminal can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, ECG monitoring devices, and portable wearable devices, and the server can be implemented as an independent server or a server cluster consisting of multiple servers.
  • a method for analyzing electrocardiogram data is provided. Taking application to a server as an example, the method specifically includes the following steps:
  • the target ECG test refers to the type of ECG test applicable to the subject, which matches the clinical indications of the subject before the rehabilitation stage, and at least includes a resting ECG test.
  • the clinical indications of the subject before the rehabilitation stage are used to indicate the ECG test applicable to the subject before the rehabilitation stage, and are specifically used to indicate whether the subject can undergo a stress exercise ECG test, including clinical data such as whether the subject is hypoglycemic, hypotensive, and in the acute stage of myocardial infarction, and whether the vital signs are stable.
  • the target ECG test that matches the clinical indication includes a resting ECG test and a stress exercise ECG test. Otherwise, indicating that the subject cannot undergo a stress exercise ECG test, then the target ECG test that matches the clinical indication includes a resting ECG test.
  • the subject is in a resting state during the resting ECG test.
  • the subject is in an exercise state during the stress exercise ECG test to increase the subject's cardiac load through exercise.
  • the current ECG data of the subject is obtained, and the current ECG data is the ECG data collected during the target ECG detection process of the first stage, and the target ECG detection is determined by the clinical indication of the subject in the second stage.
  • the target ECG detection at least includes a resting ECG detection, and the current ECG data at least includes a current resting ECG signal collected during the resting ECG detection process of the first stage.
  • the current ECG data includes the current resting ECG signal and the age of the subject. If the target ECG detection includes a resting ECG detection and a load exercise ECG detection, the current ECG data includes the age of the subject, the current resting ECG signal, and the current exercise ECG signal collected during the first stage of the load exercise ECG detection.
  • the first stage is later than the second stage, for example, the first stage corresponds to the rehabilitation stage, and the second stage corresponds to before the rehabilitation stage.
  • the first stage and the second stage are both in the rehabilitation stage, and the first stage corresponds to the current evaluation stage, and the second stage corresponds to the previous evaluation stage.
  • the current overall risk assessment score is used to characterize the overall risk of the current heart problem. For example, the higher the current overall risk assessment score is, the greater the overall risk of the current heart problem is, which means that the overall risk of the heart problem in the first stage is greater.
  • the high-frequency components of the QRS complex in the current ECG data are analyzed according to the target ECG detection to obtain the current reference features, and the current overall risk assessment score is determined based on the current reference features.
  • the current ECG data includes multiple QRS complexes that reflect the changes in the left and right ventricular depolarization potentials and times, and each QRS complex includes high-frequency components and low-frequency components.
  • the current reference feature includes a current resting reference feature determined by the current resting ECG signal, so as to determine the current overall risk assessment score according to the current resting reference feature.
  • the current reference feature includes a current resting reference feature and a current motion reference feature determined by the current motion ECG signal, and may also include a current fusion reference feature determined by the current resting ECG signal and the current motion ECG signal, so as to determine the current overall risk assessment score according to the current resting reference feature and the current motion reference feature, and may also determine the current overall risk assessment score in combination with the current fusion reference feature.
  • the current reference features are input into a corresponding preset risk assessment function or a pre-trained risk assessment model according to the target ECG detection to obtain the current overall risk assessment sub-scores, and the current overall risk assessment score is determined based on the current overall risk assessment sub-scores.
  • the autonomic nerve control assessment score is used to characterize the risk of autonomic nerve control abnormality. For example, the higher the autonomic nerve control assessment score, the greater the risk of autonomic nerve control abnormality.
  • the cardiac function assessment score is related to the cardiac function grade. The higher the cardiac function assessment score, the higher the cardiac function grade, and the greater the decline in cardiac function.
  • the high-frequency components of the QRS wave group in the current resting electrocardiogram signal are analyzed to obtain the current high-frequency QRS envelope curve, and the current high-frequency QRS envelope curve is analyzed to obtain the autonomic nerve control assessment score and the cardiac function assessment score.
  • the historical overall risk assessment score is determined by the historical ECG data corresponding to the target ECG detection.
  • the historical overall risk assessment score is used to represent the overall risk of having heart problems in the second stage. For example, the higher the historical overall risk assessment score is, the greater the overall risk of having heart problems in the second stage.
  • the historical overall risk assessment score of the subject is obtained, and the historical overall risk assessment score is determined based on the historical ECG data of the subject, and the historical ECG data is the ECG data collected during the target ECG detection process in the second stage, and the target ECG detection is determined by the clinical indication of the subject in the second stage.
  • the target ECG detection includes at least a resting ECG detection, and the historical ECG data includes at least historical resting ECG signals collected during the resting ECG detection process in the second stage. It can be understood that with reference to the processing flow of determining the current overall risk assessment score based on the current ECG data in one or more embodiments of the present application, the historical overall risk assessment score is determined based on the historical ECG data, which will not be repeated here.
  • rehabilitation guidance reference indicators include the overall risk change indicator and the target risk assessment level.
  • the overall risk change index is used to characterize the change in the overall risk of heart problems, so that doctors can accurately evaluate the cardiac rehabilitation effect of the subject in combination with the clinical symptoms before and after rehabilitation. For example, if the overall risk change index is a negative number, it indicates that the overall risk of heart problems has increased, and the larger the absolute value of the overall risk change index, the more the overall risk has increased, indicating the possibility of a worse cardiac rehabilitation effect. If the overall risk change index is a positive number, it indicates that the overall risk of heart problems has decreased. The larger the overall risk change index, the more the overall risk has decreased, indicating the possibility of a better cardiac rehabilitation effect. If the overall risk change index is 0, it indicates that the overall risk of heart problems remains the same, indicating the possibility of no effect of cardiac rehabilitation.
  • the target risk assessment level can also be understood as the cardiac risk assessment level, which is used to characterize the risk of heart problems in the first stage. For example, the higher the target risk assessment level, the greater the risk of heart problems in the first stage, so that doctors can accurately identify the cardiac rehabilitation status of the subject in combination with the overall risk change index and clinical symptoms, and thus provide further rehabilitation guidance reference suggestions.
  • the overall risk change index is determined based on the current overall risk assessment score and the historical overall risk assessment score
  • the target risk assessment level is determined based on the current overall risk assessment score, the autonomic nervous system innervation assessment score and the cardiac function assessment score.
  • the above-mentioned ECG data analysis method obtains the current ECG data collected for the target ECG detection in the first stage and at least includes the current resting ECG signal, analyzes the high-frequency components of the QRS wave group in the current ECG data according to the target ECG detection, and obtains the current overall risk assessment score that characterizes the overall heart health status of the subject in the first stage, obtains the autonomic nerve dominance assessment score that characterizes the autonomic nerve dominance status, and the cardiac function assessment score that characterizes the cardiac function status by analyzing the current resting ECG signal, and obtains the historical overall risk assessment score that is determined based on the historical ECG data collected corresponding to the target ECG detection in the second stage and is used to characterize the overall heart health status of the subject in the second stage, and comprehensively considers the current overall risk assessment score, the historical overall risk assessment score, the autonomic nerve dominance assessment score and the cardiac function assessment score to obtain the rehabilitation guidance reference index including the overall risk change index and the target risk assessment level for the doctor's
  • S106 includes: analyzing the high-frequency components of the QRS complex in the current resting ECG signal to obtain the current high-frequency QRS envelope curve; determining the autonomic nerve dominance evaluation index and the cardiac function evaluation index based on the current high-frequency QRS envelope curve; determining the autonomic nerve evaluation score based on the autonomic nerve evaluation index; and determining the cardiac function evaluation score based on the cardiac function evaluation index.
  • each QRS complex in the current resting ECG signal is aligned, averaged, and high-frequency filtered in sequence to obtain high-frequency QRS complex data (high-frequency band data of the QRS complex), or the QRS complex in the current resting ECG signal is high-frequency filtered, aligned, and averaged in sequence to obtain high-frequency QRS complex data, or the high-frequency ECG signal is extracted from the current resting ECG signal by analyzing it, and then the QRS complex in the high-frequency ECG signal is aligned and averaged in sequence to obtain high-frequency QRS complex data, which is not specifically limited here.
  • a high-frequency QRS envelope curve can be formed based on the high-frequency QRS complex data, and thus, the high-frequency QRS envelope curve can be obtained by performing the above data processing on the current resting ECG signal.
  • the autonomic nerve dominance evaluation index and the cardiac function evaluation index are obtained by analyzing each high-frequency QRS envelope curve, and the autonomic nerve evaluation score is obtained based on the autonomic nerve dominance evaluation index, and the cardiac function evaluation score is obtained based on the cardiac function evaluation index.
  • the high-frequency components of the QRS complex in the current resting ECG signal are analyzed to obtain the autonomic nerve dominance assessment index and the cardiac function assessment index, and the autonomic nerve assessment score and the cardiac function assessment score are determined based on the autonomic nerve dominance assessment index and the cardiac function assessment index, respectively, so as to accurately assess the target risk assessment level in combination with the current overall risk assessment score for the doctor's reference.
  • the autonomic nerve dominance assessment index includes an average voltage of limb leads and an average voltage of chest leads; determining the autonomic nerve assessment score according to the autonomic nerve assessment index includes: determining the autonomic nerve dominance assessment score according to the ratio of the average voltage of limb leads to the average voltage of chest leads.
  • the resting leads include limb leads and chest leads.
  • the average voltage of the limb leads is determined according to the current high-frequency QRS envelope curve corresponding to each limb lead
  • the average voltage of the chest leads is determined according to the current high-frequency QRS envelope curve corresponding to each chest lead.
  • the ratio of the average voltage of the limb leads to the average voltage of the chest leads is input into a preset autonomic nerve dominance assessment function to obtain an autonomic nerve dominance assessment score.
  • the expression of the preset autonomic nerve control evaluation function is as follows:
  • the peak voltage of each limb lead is determined based on the current high-frequency QRS envelope curve corresponding to each limb lead, and the peak voltages of each limb lead are averaged to obtain the average voltage of the limb lead, or the voltage sum or average value on the current high-frequency QRS envelope curve corresponding to each limb lead is summed or averaged to obtain the corresponding voltage sum or voltage average, and the voltage sum or average value of each limb lead is averaged to obtain the average voltage of the limb lead.
  • the average voltage of the chest lead can be determined based on the current high-frequency QRS envelope curve corresponding to each chest lead in a similar processing manner, which will not be repeated here.
  • the abnormality of autonomic nerve control is analyzed based on the ratio of the average voltage of the limb leads to the average voltage of the chest leads, so as to evaluate the target risk assessment level in combination with the autonomic nerve control assessment score.
  • the cardiac function assessment index includes the QRS duration and the current high-frequency morphology index corresponding to each resting lead; the cardiac function assessment score is determined according to the cardiac function assessment index, including: determining the coefficient according to the QRS duration, determining the score of the corresponding resting lead according to the current high-frequency morphology index; and determining the cardiac function assessment score according to the product of the sum of the scores and the coefficient.
  • the QRS duration is the duration from the start of the QRS complex to the end of the QRS complex, and the extension of the QRS duration is related to conduction block. Specifically, by analyzing the current high-frequency QRS envelope curve corresponding to each resting lead, the QRS duration and the current high-frequency morphological index corresponding to each resting lead are obtained. The current high-frequency morphological index of each resting lead is matched with each preset index interval to determine the score of the corresponding resting lead, the QRS duration is matched with each preset time limit interval to determine the coefficient, the score of each resting lead is summed, and the sum of the scores of each resting lead is multiplied by the coefficient to obtain a total score, and the cardiac function assessment score is determined according to the total score.
  • Each preset index interval is associated with a score, and each preset time limit interval is associated with a coefficient. It can be understood that the cardiac function assessment score is related to the cardiac function grade. The higher the cardiac function assessment score, the higher the level of the corresponding cardiac function grade, and the more the heart function declines.
  • the preset index intervals include [10%, 19.9%], [20%, 29.9%], [30%, 39.9%], [40%, 49.9%] and [50%, 100%], and the scores corresponding to the five intervals are 1, 2, 3, 4 and 5 respectively. If the current high-frequency morphology index is at [10%, 19.9%], the score of the corresponding resting lead is 1, and so on. It can be understood that in this example, if the current high-frequency morphology index is less than 10%, the score of the corresponding resting lead is 0.
  • the preset time limit intervals include [0, 119], [120, 149], and greater than or equal to 150, in ms (milliseconds), and the coefficients corresponding to the three preset time limit intervals are 1, 1.25 and 1.5 respectively.
  • the product of the total score and the first weight is used as the cardiac function evaluation score, or the total score is input into a preset cardiac function evaluation function to obtain a corresponding cardiac function evaluation score.
  • the first weight can be customized, such as 0.25.
  • the current high-frequency QRS envelope curve of each resting lead is analyzed to obtain the total area of each amplitude reduction region on the current high-frequency QRS envelope curve as the first total area, and the total area below the current high-frequency QRS envelope curve as the second total area, and the ratio of the first total area to the second total area is used as the current high-frequency morphology index of the corresponding resting lead.
  • the QRS duration can be determined based on the current high-frequency QRS envelope curve of any resting lead, or the average of the QRS durations corresponding to each resting lead can be used as the QRS duration for determining the cardiac function assessment score, or the QRS duration can be determined based on the low-frequency component of the current resting ECG signal, which is not limited here.
  • the cardiac function assessment score is determined based on the QRS duration and the current high frequency morphology index corresponding to each resting lead, so as to assess the target risk assessment level in combination with the accuracy of the cardiac function assessment score.
  • the cardiac function assessment index also includes at least one of the current number of resting positive leads and the arrhythmia assessment index; the cardiac function assessment score is determined according to the product of the sum of the scores and the coefficient, including: determining the first cardiac function assessment sub-score according to the product of the sum of the scores and the coefficient; determining the cardiac function assessment sub-score according to at least one of the second cardiac function assessment sub-score and the third cardiac function assessment sub-score, and the first cardiac function assessment sub-score; the second cardiac function assessment sub-score is determined by the current number of resting positive leads; and the third cardiac function assessment sub-score is determined by the arrhythmia assessment index.
  • the current number of resting positive leads refers to the number of resting leads in which the corresponding lead positive index indicates positive, which can be used to assess the risk of myocardial ischemia in the resting state in the first stage, and the two are positively correlated.
  • the lead positive index indicates positive, which is used to characterize that the current high-frequency morphology index of the corresponding resting lead is greater than or equal to the second index threshold, and the age of the subject is greater than or equal to the preset age, or it is used to characterize that the current high-frequency morphology index of the corresponding resting lead is greater than or equal to the third index threshold, and the age of the subject is less than the preset age.
  • the second index threshold and the third index threshold can be customized, for example, the second index threshold is 8% and the third index threshold is 15%.
  • the preset age can be customized, for example, 50 years old.
  • the arrhythmia assessment index is used to characterize whether the subject has the possibility of arrhythmia, and is specifically used to characterize whether arrhythmia occurs in the low-frequency electrocardiogram.
  • the sum of the scores of each resting lead and the product of the coefficient are taken as the total score, and the first cardiac function assessment sub-score is determined based on the total score.
  • the lead positive index of the corresponding resting lead is determined according to each current high-frequency QRS envelope curve, and the resting leads indicated by the lead positive index as positive are screened and counted to obtain the current number of resting positive leads, and the second cardiac function assessment sub-score is determined based on the current number of resting positive leads.
  • the current resting ECG signal is analyzed to obtain a low-frequency electrocardiogram, and the low-frequency electrocardiogram is analyzed to obtain an arrhythmia assessment index, and the third cardiac function assessment sub-score is determined based on the arrhythmia assessment index.
  • the cardiac function assessment sub-score is determined based on at least one of the second cardiac function assessment sub-score and the third cardiac function assessment sub-score, as well as the first cardiac function assessment sub-score.
  • the above total score, the current number of resting positive leads and the arrhythmia assessment index can be respectively input into the corresponding cardiac function assessment sub-function to obtain the corresponding cardiac function assessment sub-score.
  • the cardiac function assessment index also includes the current number of resting critical leads.
  • the second cardiac function assessment sub-score is determined by the current number of resting positive leads and the current number of resting critical leads.
  • the current number of resting critical leads refers to the number of resting leads for which the corresponding lead positive index indicates critical, which can be used to assess the critical risk of myocardial ischemia in the resting state in the first stage. Combined with this reference feature, myocardial ischemia can be more accurately identified.
  • the lead positive index indicates critical, which is used to characterize that the current high-frequency morphology index of the corresponding resting lead is greater than the second index threshold and less than the third index threshold, and the age of the subject is less than the preset age.
  • the expression of the cardiac function evaluation function can also be expressed as follows:
  • each sub-score is obtained based on the following expressions:
  • It represents the total score based on QRS duration and each current high frequency morphology index. It can represent the current number of resting positive leads, or the sum of the current number of resting positive leads and the current number of resting critical leads.
  • the cardiac function assessment analysis is also performed in combination with the current number of resting positive leads and at least one of the arrhythmia assessment indicators, so that a more accurate cardiac function assessment score can be obtained for reference, so that the doctor can more accurately identify the cardiac rehabilitation status of the subject.
  • the current ECG data also includes the age of the subject; S104 includes: analyzing the high-frequency components of the QRS complex in the current resting ECG signal to obtain the current high-frequency QRS envelope curve; determining the current resting reference feature based on the current high-frequency QRS envelope curve and the age; the current resting reference feature includes the current number of resting positive leads, the current number of resting critical leads, the first target number of leads, the second target number of leads, the current target high-frequency morphology index and the current target root mean square voltage; the first target number of leads refers to the number of resting leads whose current high-frequency morphology index is greater than or equal to the first index threshold; the second target number of leads refers to the number of resting leads whose current root mean square voltage is less than or equal to the first voltage threshold; the current target high-frequency morphology index is the maximum value of the current high-frequency morphology indexes corresponding to each resting
  • the first index threshold can be customized, such as 20%, and the first voltage threshold can be customized, such as 4uV (microvolt).
  • the current high-frequency QRS envelope curve is obtained based on the current resting ECG signal analysis, and the current high-frequency morphological index of the corresponding resting lead is obtained by analyzing each current high-frequency QRS envelope curve.
  • the corresponding lead positive index is respectively determined, and the resting leads indicated as positive by the corresponding lead positive index are screened and counted to obtain the current number of resting positive leads, and the resting leads indicated as critical by the corresponding lead positive index are screened and counted to obtain the current number of resting critical leads.
  • the resting leads whose current high-frequency morphological index is greater than or equal to the current high-first index threshold are screened and counted to obtain the first target lead number, and the maximum value is screened from the current high-frequency morphological index corresponding to each resting lead as the current target high-frequency morphological index.
  • the root mean square of the current high-frequency QRS envelope curve corresponding to each resting lead is calculated to obtain the current root mean square voltage of the corresponding resting lead, and the resting leads whose current root mean square voltage is less than or equal to the first voltage threshold are screened and counted to obtain the second target lead number, and the minimum value is screened from the current root mean square voltage corresponding to each resting lead as the current target root mean square voltage. Further, the current resting reference feature is input into the risk assessment function preconfigured for resting ECG detection to obtain the current overall risk assessment score.
  • the expression of the risk assessment function preconfigured for resting ECG detection is as follows:
  • the current resting reference characteristics are determined based on the current resting ECG signal collected during the resting ECG testing process in the first stage and the subject's age, so as to accurately evaluate the subject's current overall risk assessment score in the first stage based on the current resting reference characteristics for the doctor's reference.
  • the current ECG data also includes the age of the subject and the current exercise ECG signal;
  • S104 includes: analyzing the high-frequency components of the QRS wave group in the current resting ECG signal to obtain the current high-frequency QRS envelope curve; determining the current rest reference feature according to the current high-frequency QRS envelope curve and the age;
  • the current rest reference feature includes the current number of resting positive leads, the current number of resting critical leads, the first target number of leads, the second target number of leads, the current target high-frequency morphology index and the current target root mean square voltage;
  • the first target number of leads refers to the number of resting leads whose current high-frequency morphology index is greater than or equal to the first index threshold;
  • the second target number of leads refers to the number of resting leads whose current root mean square voltage is less than or equal to the first voltage threshold;
  • the current target high-frequency morphology index is the maximum value of the current high-frequency morphology
  • the current exercise ECG signal is an ECG signal collected during the first stage of the load exercise ECG detection process.
  • the load exercise ECG detection process includes multiple stages, which can specifically include three stages, namely, the resting stage, the exercise stage, and the recovery stage.
  • the current exercise ECG signal includes the ECG signals of each stage. The division of the stages is not limited to this, and can be specifically divided according to actual conditions.
  • the current maximum heart rate refers to the maximum value of the heart rate of the subject during the entire load exercise ECG detection process in the first stage.
  • the current number of positive exercise leads refers to the number of exercise leads indicated as positive by the corresponding lead positive index, which can be used to assess the risk of myocardial ischemia in the first stage under load exercise, and the two are positively correlated.
  • the current number of critical exercise leads refers to the number of exercise leads indicated as critical by the corresponding lead positive index, which can be used to assess the critical risk of myocardial ischemia in the first stage under load exercise. Combined with this reference feature, the myocardial ischemia in the first stage under load exercise can be more accurately assessed.
  • the lead positive indicator indicates a positive value, which is used to characterize that the relative value of the first amplitude decrease of the corresponding motion lead is greater than the third relative value threshold, the absolute value of the first amplitude decrease is greater than the preset absolute value threshold, the age of the subject is less than the preset age, and the current maximum heart rate of the subject is greater than 80% of the target heart rate, or, it is used to characterize that the relative value of the first amplitude decrease of the corresponding motion lead is greater than the fourth relative value threshold, the absolute value of the first amplitude decrease is greater than the preset absolute value threshold, the age of the subject is less than the preset age, and the current maximum heart rate of the subject is less than or equal to 80% of the target heart rate, or, it is used to characterize that the relative value of the first amplitude decrease of the corresponding motion lead is greater than the fourth relative value threshold, the absolute value of the first amplitude decrease is greater than the preset absolute value threshold, the age of the subject is greater than or equal to the preset age
  • the first relative value threshold, the second relative value threshold, the third relative value threshold, the fourth relative value threshold, the fifth relative value threshold, the preset absolute value threshold, and the preset age are customized according to the actual situation, such as 55%, 40%, 60%, 50%, 40%, 1uV (microvolt), and 50 years old.
  • the lead positive indicator is critical, which is used to characterize that the relative value of the first amplitude decrease of the corresponding motion lead is greater than 90% of the third relative value threshold and less than or equal to the third relative value threshold, the absolute value of the first amplitude decrease is greater than the preset absolute value threshold, the age of the subject is less than the preset age, and the current maximum heart rate of the subject is greater than 80% of the target heart rate, or the relative value of the first amplitude decrease of the corresponding motion lead is greater than 90% of the fourth relative value threshold and less than or equal to the fourth relative value threshold, the absolute value of the first amplitude decrease is greater than the preset absolute value threshold, the age of the subject is less than the preset age, and the current maximum heart rate of the subject is less than or equal to 80% of the target heart rate.
  • the first amplitude decrease absolute value is greater than the preset absolute value threshold, the age of the subject is greater than or equal to the preset age, and the current maximum heart rate of the subject is greater than 80% of the target heart rate, or, used to characterize that the first amplitude decrease relative value of the corresponding motion lead is greater than 90% of the fifth relative value threshold and less than or equal to the fifth relative value threshold, the first amplitude decrease absolute value is greater than the preset absolute value threshold, the age of the subject is greater than or equal to the preset age, and the current maximum heart rate of the subject is less than or equal to 80% of the target heart rate.
  • the second amplitude decrease relative value is used to characterize the descending slope or steepness of the high-frequency QRS waveform in the second time period. If the second amplitude decrease relative value exceeds the second relative value threshold, it indicates that the descending slope or steepness is large enough, which characterizes the possibility of coronary stenosis.
  • the first amplitude decrease relative value can be understood as the relative value of the amplitude decrease of the high-frequency QRS waveform in the first time period
  • the second amplitude decrease relative value can be understood as the relative value of the amplitude decrease of the high-frequency QRS waveform in the second time period.
  • the first time period includes a period of time before exercise, during exercise, and after exercise.
  • the period of time before exercise, during exercise, and after exercise are continuous time periods.
  • the second time period includes a period of time before exercise and a period of time during exercise, or the second time period includes a period of time during exercise, and the period of time before exercise and a period of time during exercise are continuous time periods.
  • a period of time during exercise can be customized according to actual conditions, such as the first 3 minutes during exercise.
  • the first time period can specifically include the second time period, that is, the second time period is a sub-interval of the first time period.
  • the current resting reference feature is determined according to the current resting ECG signal and the age of the subject, which will not be repeated here.
  • the current exercise ECG signal includes the QRS wave group corresponding to each heartbeat of the subject during the entire load exercise ECG detection process in the first stage.
  • the current exercise ECG signal is divided into multiple ECG signal subsets according to the timing and the preset moving step size through a window function, and each ECG signal subset includes QRS wave groups corresponding to multiple heartbeats.
  • the QRS wave groups corresponding to the multiple heartbeats included therein are aligned, averaged and high-frequency filtered in turn to obtain the corresponding high-frequency QRS wave group data (high-frequency band data of the QRS wave group), and the high-frequency QRS wave group data is root-mean-squared to obtain the corresponding root-mean-square voltage, which is used as the root-mean-square voltage/intensity/amplitude corresponding to the ECG signal subset.
  • the root mean square voltage/intensity/amplitude corresponding to each subset of ECG signals is smoothed according to the timing to obtain the current high-frequency QRS waveform curve corresponding to the current exercise ECG signal.
  • the current high-frequency QRS waveform curve can be understood as a high-frequency QRS time-intensity curve.
  • the window length and preset moving step of the window function can be customized according to actual needs.
  • the window length is set to 10 seconds
  • the preset moving step is set to 10 seconds or one heartbeat cycle.
  • One heartbeat cycle refers to the time interval between two adjacent heartbeats, which is not specifically limited here.
  • the timing refers to the order of detection time according to the signal acquisition time/load exercise ECG detection process.
  • the method of extracting the heart rate sequence from the ECG signal disclosed in the prior art, the heart rate sequence of the subject is extracted from the current exercise ECG signal, and the maximum value is selected from the heart rate sequence as the current maximum heart rate of the subject.
  • a point with the largest root mean square voltage is selected from the current high-frequency QRS waveform curve within the first time period as the first reference point, and a point with a time later than the first reference point and the smallest root mean square voltage is selected from the current high-frequency QRS waveform curve within the first time period as the second reference point, and the root mean square voltage of the first reference point is subtracted from the root mean square voltage of the second reference point to obtain the first amplitude decrease absolute value, and the ratio of the first amplitude decrease absolute value to the root mean square voltage of the first reference point is determined as the first amplitude decrease relative value.
  • the motion leads whose corresponding first amplitude decrease relative value is greater than or equal to the first relative value threshold are screened and counted to obtain the third target lead number.
  • the lead positive index of the corresponding current high-frequency QRS waveform curve is determined according to the first amplitude decrease relative value, the first amplitude decrease absolute value, the age of the subject and the maximum heart rate, as the lead positive index corresponding to the corresponding motion lead.
  • the motion leads whose corresponding lead positive index indicates positive are screened and counted to obtain the current motion positive lead number, and the motion leads whose corresponding lead positive index indicates critical are screened and counted to obtain the current motion critical lead number.
  • the change trend of the current high-frequency QRS waveform curve corresponding to each motion lead in the first time period is analyzed to screen and count the motion leads whose corresponding current high-frequency QRS waveform curve shows a downward and upward repeated fluctuation trend in the first time period to obtain the fourth target lead number.
  • a point with the smallest root mean square voltage is selected from the current high-frequency QRS waveform curve in the second time period as the third reference point, and a point with a time earlier than the third reference point and the largest root mean square voltage is selected from the current high-frequency QRS waveform curve in the second time period as the fourth reference point, and the root mean square voltage of the fourth reference point is subtracted from the root mean square voltage of the third reference point to obtain the second amplitude decrease absolute value in the second time period, and the ratio of the second amplitude decrease absolute value to the root mean square voltage of the fourth reference point is used as the second amplitude decrease relative value.
  • the motion leads whose corresponding second amplitude decrease relative value is greater than or equal to the second relative value threshold are screened and counted to obtain the fifth target lead number.
  • the current resting reference feature is input into a risk assessment function or risk assessment model preconfigured for resting ECG detection to obtain a first current overall risk assessment sub-score.
  • the current motion reference feature is input into a risk assessment function or risk assessment model preconfigured for load motion ECG detection to obtain a second current overall risk assessment sub-score, and the maximum value of the first current overall risk assessment sub-score and the second current overall risk assessment sub-score is determined as the current overall risk assessment score.
  • the current high-frequency QRS waveform curve presents a downward and upward repeated fluctuation trend in the first time period, which means that the total number of times the current high-frequency QRS waveform curve presents a downward trend in the first time period is greater than or equal to two times, and the upward trend and the downward trend appear alternately.
  • the current high-frequency QRS waveform curve presents a "W" type or "inverted N" type waveform in the first time period.
  • the expression of the risk assessment function preconfigured for resting ECG detection is as follows:
  • the expression of the risk assessment function preconfigured for stress exercise ECG detection is as follows:
  • the expression for determining the current overall risk assessment score based on the current ECG data is as follows:
  • the current resting reference characteristics are determined based on the current resting ECG signal collected during the resting ECG testing process in the first stage and the subject's age
  • the current motion reference characteristics are determined based on the motion ECG signal collected during the stress exercise ECG testing process in the first stage and the subject's age, so as to accurately evaluate the subject's current overall risk assessment score in the first stage based on the current resting reference characteristics and the current motion reference characteristics for the doctor's reference.
  • the current overall risk assessment score is determined based on the current resting reference feature and the current motion reference feature, including: determining the current overall risk assessment score based on the current resting reference feature, the current motion reference feature and the current fusion reference feature; the current fusion reference feature includes the current number of resting positive leads, the current number of resting critical leads, the number of first target leads, the current target high-frequency morphology index, the current number of motion positive leads and the current number of motion critical leads, and the relative value of the second amplitude decrease corresponding to each motion lead.
  • the current fusion reference feature is determined based on the current resting ECG signal and the current exercise ECG signal.
  • the current resting reference feature is input into the risk assessment function or risk assessment model preconfigured for resting ECG detection to obtain the first current overall risk assessment sub-score.
  • the current exercise reference feature is input into the risk assessment function or risk assessment model preconfigured for load exercise ECG detection to obtain the second current overall risk assessment sub-score.
  • the current fusion reference feature is input into the risk assessment function or risk assessment model jointly configured for resting ECG detection and load exercise ECG detection to obtain the third current overall risk assessment sub-score.
  • the maximum value among the first current overall risk assessment sub-score, the second current overall risk assessment sub-score and the third current overall risk assessment sub-score is determined as the current overall risk assessment score.
  • the expression of the risk assessment function for the joint configuration of resting ECG detection and stress exercise ECG detection is as follows:
  • the third current overall risk assessment sub-score is is the current number of resting critical leads, is the current number of resting positive leads, is the first target lead number, is an additional score determined based on the current target high frequency morphology index, is the current number of critical motion leads, is the current number of motion-positive leads, It is an additional score determined based on the relative value of the second amplitude decrease corresponding to each motion lead.
  • the expression for determining the current overall risk assessment score based on the current ECG data can also be expressed as follows:
  • the current fusion reference features jointly determined by the current resting ECG signal and the current motion ECG signal are combined to more accurately evaluate the current overall risk assessment score, so as to further obtain more accurate rehabilitation guidance reference indicators for doctors' reference, so that doctors can more accurately identify the subject's cardiac rehabilitation status in the first stage in combination with clinical symptoms, and thus give further rehabilitation guidance reference suggestions.
  • S110 includes: determining an overall risk change index based on a current overall risk assessment score and a historical overall risk assessment score; and determining a target risk assessment level based on a current overall risk assessment score, an autonomic nervous system innervation assessment score, and a cardiac function assessment score.
  • the score difference obtained by subtracting the current overall risk assessment score from the historical overall risk assessment score is used as the overall risk change indicator, or the historical overall risk assessment score and the current overall risk assessment score are compared with each preset score interval to obtain the historical overall risk assessment level and the current overall risk assessment level, and the level difference is obtained by subtracting the current overall risk assessment level from the historical overall risk assessment level, and the product of the level difference and the second weight is determined as the overall risk change indicator.
  • the product of the current overall risk assessment score and the third weight, and the sum of the autonomic nerve control assessment score and the cardiac function assessment score are obtained to obtain the target risk assessment score, and the target risk assessment score is compared with each preset score interval to obtain the target risk assessment level.
  • the second weight and the third weight can be customized, for example, the second weight is 10 and the third weight is 0.5.
  • the overall risk assessment level (including the historical overall risk assessment level and the current overall risk assessment level) and the target risk assessment level both include six levels from the first level to the sixth level in ascending order.
  • a corresponding preset score interval is pre-configured, which is [0,10], [11,30], [31,50], [51,60], [61,70], and greater than or equal to 71.
  • the six preset score intervals correspond to the overall risk assessment level or the target risk assessment level, respectively.
  • an overall risk change index characterizing the overall risk change is obtained, and based on the current overall risk assessment score, the autonomic nervous system control assessment score and the cardiac function assessment score obtained from the current electrocardiogram data of the first stage, a target risk assessment level characterizing the risk of the subject having heart problems in the first stage is obtained for the doctor's reference, so that the doctor can accurately identify the subject's cardiac rehabilitation status in the first stage in combination with the clinical symptoms, and thus provide further reference suggestions for rehabilitation guidance.
  • a method for analyzing electrocardiogram data is provided, and the method specifically comprises the following steps:
  • the autonomic nerve dominance evaluation index includes the average voltage of the limb leads and the average voltage of the chest leads;
  • the cardiac function evaluation index includes the current high-frequency morphology index corresponding to the QRS duration and each resting lead, and also includes at least one of the current number of resting positive leads and the arrhythmia evaluation index.
  • S210 determining an autonomic nerve control assessment score according to a ratio of an average voltage of limb leads to an average voltage of chest leads.
  • S214 Determine a first cardiac function assessment sub-score according to the product of the sum of the scores and the coefficient.
  • determining a cardiac function assessment subscore according to at least one of the second cardiac function assessment subscore and the third cardiac function assessment subscore, and the first cardiac function assessment subscore; the second cardiac function assessment subscore is determined by the current number of resting positive leads; the third cardiac function assessment subscore is determined by an arrhythmia assessment index.
  • the rehabilitation guidance reference indicators include an overall risk change indicator and a target risk assessment level.
  • the current overall risk assessment score is obtained by acquiring and analyzing the current ECG data corresponding to the target ECG detection in the first stage, and the historical overall risk assessment score determined by the historical ECG data corresponding to the target ECG detection in the second stage is obtained.
  • an overall risk change index characterizing the overall risk change is obtained.
  • a target risk assessment level characterizing the risk of the subject having heart problems in the first stage is obtained for the doctor's reference, so that the doctor can accurately identify the subject's cardiac rehabilitation status in the first stage in combination with the clinical symptoms, and thus provide further reference suggestions for rehabilitation guidance.
  • the high-frequency components of the QRS complex in the historical ECG data are analyzed according to the target ECG detection to obtain a historical overall risk assessment score.
  • the target ECG test includes a resting ECG test
  • the historical ECG data also includes the age of the subject
  • the high-frequency components of the QRS complex in the historical ECG data are analyzed according to the target ECG test to obtain a historical overall risk assessment score, including: analyzing the high-frequency components of the QRS complex in the historical resting ECG signal to obtain a historical high-frequency QRS envelope curve; determining the historical resting reference features based on the historical high-frequency QRS envelope curve and the age
  • the historical resting reference features include the number of historical resting positive leads, the number of historical resting critical leads, the number of sixth target leads, the number of seventh target leads, the historical target high-frequency morphology index and the historical target root mean square voltage
  • the number of sixth target leads refers to the number of resting leads whose historical high-frequency morphology index is greater than or equal to the first index threshold
  • the number of seventh target leads refers to the number of resting leads whose historical root mean square voltage is less than or equal to the first voltage threshold
  • the target ECG detection includes resting ECG detection and load exercise ECG detection
  • the historical ECG data also includes the age of the subject and the historical exercise ECG signal
  • the high-frequency components of the QRS wave group in the historical ECG data are analyzed according to the target ECG detection to obtain a historical overall risk assessment score, including: analyzing the high-frequency components of the QRS wave group in the historical resting ECG signal to obtain a historical high-frequency QRS envelope curve; determining the historical rest reference characteristics according to the historical high-frequency QRS envelope curve and age;
  • the historical rest reference characteristics include the number of historical resting positive leads, the number of historical resting critical leads, the number of sixth target leads, the number of seventh target leads, the historical target high-frequency morphology index and the historical target root mean square voltage;
  • the number of sixth target leads refers to the number of resting leads whose historical high-frequency morphology index is greater than or equal to the first index threshold;
  • the number of seventh target leads refers to the number of resting leads whose historical root mean square
  • a historical overall risk assessment score is determined based on historical rest reference features and historical motion reference features, including: determining a historical overall risk assessment score based on historical rest reference features, historical motion reference features and historical fusion reference features; the historical fusion reference features include the number of historical rest positive leads, the number of historical rest critical leads, the number of sixth target leads, the historical target high-frequency morphology index, the number of historical motion positive leads and the number of historical motion critical leads, and the relative value of the second amplitude decrease corresponding to each motion lead.
  • an electrocardiogram data analysis device 300 comprising: an acquisition module 301 , an analysis module 302 and an evaluation module 303 , wherein:
  • the acquisition module 301 is used to acquire the current ECG data collected corresponding to the target ECG detection in the first stage; the current ECG data at least includes the current resting ECG signal;
  • An analysis module 302 is used to analyze the high frequency components of the QRS complex in the current ECG data according to the target ECG detection to obtain a current overall risk assessment score;
  • the analysis module 302 is also used to analyze the current resting ECG signal to obtain an autonomic nerve control assessment score and a cardiac function assessment score;
  • the acquisition module 301 is also used to obtain the historical overall risk assessment score corresponding to the subject in the second stage; the historical overall risk assessment score is determined by the historical ECG data corresponding to the target ECG detection;
  • the evaluation module 303 is used to determine the rehabilitation guidance reference index according to the current overall risk assessment score, the historical overall risk assessment score, the autonomic nerve control assessment score and the cardiac function assessment score; the rehabilitation guidance reference index includes the overall risk change index and the target risk assessment level.
  • the analysis module 302 is also used to analyze the high-frequency components of the QRS complex in the current resting ECG signal to obtain the current high-frequency QRS envelope curve; determine the autonomic nerve dominance evaluation index and the cardiac function evaluation index according to the current high-frequency QRS envelope curve; determine the autonomic nerve evaluation score according to the autonomic nerve evaluation index; and determine the cardiac function evaluation score according to the cardiac function evaluation index.
  • the autonomic nerve control assessment index includes the average voltage of limb leads and the average voltage of chest leads; the analysis module 302 is further used to determine the autonomic nerve control assessment score according to the ratio of the average voltage of limb leads to the average voltage of chest leads.
  • the cardiac function assessment index includes the QRS duration and the current high-frequency morphology index corresponding to each resting lead; the analysis module 302 is also used to determine the coefficient according to the QRS duration, and determine the score of the corresponding resting lead according to the current high-frequency morphology index; and determine the cardiac function assessment score according to the product of the sum of the scores and the coefficient.
  • the cardiac function assessment index also includes at least one of the current number of resting positive leads and the arrhythmia assessment index; the analysis module 302 is further used to determine the first cardiac function assessment sub-score based on the product of the sum of each score and the coefficient; determine the cardiac function assessment sub-score based on at least one of the second cardiac function assessment sub-score and the third cardiac function assessment sub-score, and the first cardiac function assessment sub-score; the second cardiac function assessment sub-score is determined by the current number of resting positive leads; and the third cardiac function assessment sub-score is determined by the arrhythmia assessment index.
  • the target ECG detection includes a resting ECG detection
  • the current ECG data also includes the age of the subject
  • the analysis module 302 is also used to analyze the high-frequency components of the QRS wave group in the current resting ECG signal to obtain the current high-frequency QRS envelope curve; determine the current resting reference feature based on the current high-frequency QRS envelope curve and the age;
  • the current resting reference feature includes the current number of resting positive leads, the current number of resting critical leads, the first target number of leads, the second target number of leads, the current target high-frequency morphology index and the current target root mean square voltage;
  • the first target number of leads refers to the number of resting leads whose current high-frequency morphology index is greater than or equal to the first index threshold;
  • the second target number of leads refers to the number of resting leads whose current root mean square voltage is less than or equal to the first voltage threshold;
  • the current target high-frequency morphology index is the maximum value of the current high-frequency morphology index corresponding
  • the current ECG data also includes the age of the subject and the current exercise ECG signal; the analysis module 302 is also used to analyze the high-frequency components of the QRS wave group in the current resting ECG signal to obtain the current high-frequency QRS envelope curve; determine the current rest reference feature according to the current high-frequency QRS envelope curve and age; the current rest reference feature includes the current number of resting positive leads, the current number of resting critical leads, the first target number of leads, the second target number of leads, the current target high-frequency morphology index and the current target root mean square voltage; the first target number of leads refers to the number of resting leads whose current high-frequency morphology index is greater than or equal to the first index threshold; the second target number of leads refers to the number of resting leads whose current root mean square voltage is less than or equal to the first voltage threshold; the current target high-frequency morphology index is the maximum value of the current high-frequency
  • the analysis module 302 is also used to determine the current overall risk assessment score based on the current resting reference feature, the current motion reference feature and the current fusion reference feature; the current fusion reference feature includes the current number of resting positive leads, the current number of resting critical leads, the number of first target leads, the current target high-frequency morphology index, the current number of motion positive leads and the current number of motion critical leads, and the relative value of the second amplitude decrease corresponding to each motion lead.
  • the evaluation module 303 is also used to determine the overall risk change index based on the current overall risk assessment score and the historical overall risk assessment score; determine the target risk assessment level based on the current overall risk assessment score, the autonomic nervous system innervation assessment score and the cardiac function assessment score.
  • Each module in the above-mentioned ECG data analysis device can be implemented in whole or in part by software, hardware and a combination thereof.
  • the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.
  • a computer device which may be a server, and its internal structure diagram may be as shown in FIG4.
  • the computer device includes a processor, a memory, and a network interface connected via a system bus.
  • the processor of the computer device is used to provide computing and control capabilities.
  • the memory of the computer device includes a non-volatile storage medium and an internal memory.
  • the non-volatile storage medium stores an operating system, a computer-readable instruction, and a database.
  • the internal memory provides an environment for the operation of the operating system and the computer-readable instructions in the non-volatile storage medium.
  • the database of the computer device is used to store the current ECG data of the first stage, and the historical overall risk assessment score of the second stage, and can also be used to store the historical ECG data of the second stage.
  • the network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer-readable instruction is executed by the processor, an ECG data analysis method is implemented.
  • FIG. 4 is merely a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied.
  • the specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.
  • a computer device including a memory and a processor, wherein the memory stores computer-readable instructions, and when the processor executes the computer-readable instructions, the steps of the electrocardiogram data analysis method provided in any embodiment of the present application are implemented.
  • a computer-readable storage medium on which computer-readable instructions are stored.
  • the steps of the electrocardiogram data analysis method provided in any embodiment of the present application are implemented.
  • Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc.
  • Volatile memory may include random access memory (RAM) or external cache memory.
  • RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

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Abstract

An electrocardiogram data analysis method and apparatus, and a computer device and a storage medium. The method comprises: acquiring current electrocardiogram data collected corresponding to target electrocardiogram detection in a first stage, wherein the current electrocardiogram data at least comprises a current resting electrocardiogram signal; according to the target electrocardiogram detection, analyzing a high-frequency component of a QRS wave group in the current electrocardiogram data, so as to obtain a current overall risk assessment score; analyzing the current resting electrocardiogram signal, so as to obtain an autonomic innervation assessment score and a cardiac function assessment score; acquiring a historical overall risk assessment score corresponding to a testee in a second stage, wherein the historical overall risk assessment score is determined by means of historical electrocardiogram data corresponding to the target electrocardiogram detection; and determining rehabilitation guidance reference indexes on the basis of the current overall risk assessment score, the historical overall risk assessment score, the autonomic innervation assessment score and the cardiac function assessment score, wherein the rehabilitation guidance reference indexes comprise an overall risk change index and a target risk assessment level.

Description

心电数据分析方法、装置、计算机设备与存储介质Electrocardiogram data analysis method, device, computer equipment and storage medium

本申请要求于2023年8月14日提交中国专利局,申请号为2023110136558,申请名称为“心电数据分析方法、装置、计算机设备与存储介质”的中国专利申请的优先权,其全部内容通过引用结合在本申请中。This application claims priority to a Chinese patent application filed with the China Patent Office on August 14, 2023, with application number 2023110136558 and application name “ECG data analysis method, device, computer equipment and storage medium”, all contents of which are incorporated by reference in this application.

技术领域Technical Field

本申请涉及一种心电数据分析方法、装置、计算机设备与存储介质。The present application relates to an electrocardiogram data analysis method, apparatus, computer equipment and storage medium.

背景技术Background Art

通过对心脏病的预防、监测与及时康复治疗,能够有效降低心脏病致死率。而在心脏病的第一阶段如何评估心脏康复情况,以便于医生基于心脏康复情况与临床症状提供进一步地康复指导参考建议。The prevention, monitoring and timely rehabilitation of heart disease can effectively reduce the mortality rate of heart disease. In the first stage of heart disease, how to evaluate cardiac rehabilitation can help doctors provide further rehabilitation guidance and reference suggestions based on cardiac rehabilitation and clinical symptoms.

目前,通常基于临床金标准或心电图中ST-T段数据来评估心脏康复情况,但是多数临床金标准是有创检测,会对受测者的身体健康产生或多或少的影响,而基于ST-T段数据通过模糊的定性来识别受测者的心脏健康状况,从而评估心脏康复情况,存在评估准确性低的问题。由此可见,现有评估方式存在无创无损与准确性不能兼顾的问题。At present, cardiac rehabilitation is usually evaluated based on clinical gold standards or ST-T segment data in electrocardiograms. However, most clinical gold standards are invasive tests, which will have more or less impact on the physical health of the subjects. Based on ST-T segment data, the heart health status of the subjects is identified through fuzzy qualitative analysis, and thus the cardiac rehabilitation status is evaluated, which has the problem of low evaluation accuracy. It can be seen that the existing evaluation methods have the problem of not being both non-invasive and non-destructive and being accurate.

发明内容Summary of the invention

根据本申请公开的各种实施例,提供一种心电数据分析方法、装置、计算机设备与存储介质。According to various embodiments disclosed in the present application, a method, apparatus, computer device and storage medium for analyzing electrocardiogram data are provided.

一种心电数据分析方法,所述方法包括:A method for analyzing electrocardiogram data, the method comprising:

获取在第一阶段对应于目标心电检测采集的当前心电数据;所述当前心电数据至少包括当前静息心电信号;Acquire the current ECG data collected corresponding to the target ECG detection in the first stage; the current ECG data at least includes the current resting ECG signal;

按照所述目标心电检测对所述当前心电数据中QRS波群的高频成分进行分析得到当前整体风险评估分数;Analyzing the high frequency components of the QRS complex in the current ECG data according to the target ECG detection to obtain a current overall risk assessment score;

对所述当前静息心电信号进行分析得到自律神经支配评估分数与心功能评估分数;Analyzing the current resting ECG signal to obtain an autonomic nerve control assessment score and a cardiac function assessment score;

获取受测者在第二阶段对应的历史整体风险评估分数;所述历史整体风险评估分数由所述目标心电检测对应的历史心电数据确定;Obtaining the subject's historical overall risk assessment score corresponding to the second stage; the historical overall risk assessment score is determined by the historical ECG data corresponding to the target ECG detection;

根据所述当前整体风险评估分数、所述历史整体风险评估分数、所述自律神经支配评估分数与心功能评估分数确定康复指导参考指标;所述康复指导参考指标包括整体风险变化指标与目标风险评估等级。Rehabilitation guidance reference indicators are determined according to the current overall risk assessment score, the historical overall risk assessment score, the autonomic nerve control assessment score and the cardiac function assessment score; the rehabilitation guidance reference indicators include an overall risk change indicator and a target risk assessment level.

在其中一个实施例中,所述对所述当前静息心电信号进行分析得到自律神经支配评估分数与心功能评估分数,包括:In one embodiment, the analyzing the current resting ECG signal to obtain the autonomic nerve control assessment score and the cardiac function assessment score includes:

对所述当前静息心电信号中QRS波群的高频成分进行分析得到当前高频QRS包络曲线;Analyzing the high-frequency components of the QRS complex in the current resting electrocardiogram signal to obtain a current high-frequency QRS envelope curve;

根据所述当前高频QRS包络曲线确定自律神经支配评估指标与心功能评估指标;Determining an autonomic nerve control evaluation index and a cardiac function evaluation index according to the current high-frequency QRS envelope curve;

根据所述自律神经评估指标确定自律神经评估分数;Determining an autonomic nerve assessment score according to the autonomic nerve assessment index;

根据所述心功能评估指标确定心功能评估分数。A cardiac function assessment score is determined according to the cardiac function assessment index.

在其中一个实施例中,所述自律神经支配评估指标包括肢体导联平均电压与胸导联平均电压;所述根据所述自律神经评估指标确定自律神经评估分数,包括:In one embodiment, the autonomic nerve dominance assessment index includes an average voltage of limb leads and an average voltage of chest leads; and determining the autonomic nerve assessment score according to the autonomic nerve assessment index includes:

根据所述肢体导联平均电压与所述胸导联平均电压的比值确定自律神经支配评估分数。The autonomic nerve control assessment score is determined according to the ratio of the average voltage of the limb leads to the average voltage of the chest leads.

在其中一个实施例中,所述心功能评估指标包括QRS时限与各静息导联对应的当前高频形态指数;所述根据所述心功能评估指标确定心功能评估分数,包括:In one embodiment, the cardiac function assessment index includes the QRS duration and the current high frequency morphology index corresponding to each resting lead; and determining the cardiac function assessment score according to the cardiac function assessment index includes:

根据所述QRS时限确定系数,根据所述当前高频形态指数确定相应静息导联的分值;Determine the coefficient according to the QRS duration and the score of the corresponding rest lead according to the current high frequency morphology index;

根据各所述分值的和值与所述系数的乘积确定心功能评估分数。The cardiac function assessment score is determined according to the product of the sum of the scores and the coefficient.

在其中一个实施例中,所述心功能评估指标还包括当前静息阳性导联数量与心律失常评估指标中的至少一项;所述根据各所述分值的和值与所述系数的乘积确定心功能评估分数,包括:In one embodiment, the cardiac function assessment index further includes at least one of the current number of resting positive leads and an arrhythmia assessment index; and determining the cardiac function assessment score according to the product of the sum of the scores and the coefficient includes:

根据各所述分值的和值与所述系数的乘积确定第一心功能评估子分数;Determine a first cardiac function assessment sub-score according to the product of the sum of the scores and the coefficient;

根据第二心功能评估子分数与第三心功能评估子分数中的至少一项,以及所述第一心功能评估子分数确定心功能评估子分数;所述第二心功能评估子分数由所述当前静息阳性导联数量确定;所述第三心功能评估子分数由所述心律失常评估指标确定。The cardiac function assessment subscore is determined according to at least one of the second cardiac function assessment subscore and the third cardiac function assessment subscore, and the first cardiac function assessment subscore; the second cardiac function assessment subscore is determined by the current number of resting positive leads; and the third cardiac function assessment subscore is determined by the arrhythmia assessment index.

在其中一个实施例中,若目标心电检测包括静息心电检测,则所述当前心电数据还包括所述受测者的年龄;所述按照所述目标心电检测对所述当前心电数据中QRS波群的高频成分进行分析得到当前整体风险评估分数,包括:In one embodiment, if the target ECG detection includes a resting ECG detection, the current ECG data also includes the age of the subject; the analyzing the high-frequency components of the QRS complex in the current ECG data according to the target ECG detection to obtain the current overall risk assessment score includes:

对所述当前静息心电信号中QRS波群的高频成分进行分析得到当前高频QRS包络曲线;Analyzing the high-frequency components of the QRS complex in the current resting electrocardiogram signal to obtain a current high-frequency QRS envelope curve;

根据所述当前高频QRS包络曲线与所述年龄确定当前静息参考特征;所述当前静息参考特征包括当前静息阳性导联数量、当前静息临界导联数量、第一目标导联数量、第二目标导联数量、当前目标高频形态指数与当前目标均方根电压;所述第一目标导联数量是指当前高频形态指数大于或等于第一指数阈值的静息导联的数量;所述第二目标导联数量是指当前均方根电压小于或等于第一电压阈值的静息导联的数量;所述当前目标高频形态指数为各静息导联对应的当前高频形态指数中的最大值;所述当前目标均方根电压为各静息导联对应的当前均方根电压中的最小值;The current resting reference feature is determined according to the current high-frequency QRS envelope curve and the age; the current resting reference feature includes the current number of resting positive leads, the current number of resting critical leads, the first target number of leads, the second target number of leads, the current target high-frequency morphology index and the current target root mean square voltage; the first target number of leads refers to the number of resting leads whose current high-frequency morphology index is greater than or equal to the first index threshold; the second target number of leads refers to the number of resting leads whose current root mean square voltage is less than or equal to the first voltage threshold; the current target high-frequency morphology index is the maximum value of the current high-frequency morphology indexes corresponding to each resting lead; the current target root mean square voltage is the minimum value of the current root mean square voltages corresponding to each resting lead;

根据所述当前静息参考特征确定当前整体风险评估分数。A current overall risk assessment score is determined based on the current resting reference signature.

在其中一个实施例中,若目标心电检测包括静息心电检测与负荷运动心电检测,则所述当前心电数据还包括所述受测者的年龄与当前运动心电信号;所述按照所述目标心电检测对所述当前心电数据中QRS波群的高频成分进行分析得到当前整体风险评估分数,包括:In one embodiment, if the target ECG detection includes resting ECG detection and load exercise ECG detection, the current ECG data also includes the age of the subject and the current exercise ECG signal; the current overall risk assessment score is obtained by analyzing the high-frequency components of the QRS complex in the current ECG data according to the target ECG detection, including:

对所述当前静息心电信号中QRS波群的高频成分进行分析得到当前高频QRS包络曲线;Analyzing the high-frequency components of the QRS complex in the current resting electrocardiogram signal to obtain a current high-frequency QRS envelope curve;

根据所述当前高频QRS包络曲线与所述年龄确定当前静息参考特征;所述当前静息参考特征包括当前静息阳性导联数量、当前静息临界导联数量、第一目标导联数量、第二目标导联数量、当前目标高频形态指数与当前目标均方根电压;所述第一目标导联数量是指当前高频形态指数大于或等于第一指数阈值的静息导联的数量;所述第二目标导联数量是指当前均方根电压小于或等于第一电压阈值的静息导联的数量;所述当前目标高频形态指数为各静息导联对应的当前高频形态指数中的最大值;所述当前目标均方根电压为各静息导联对应的当前均方根电压中的最小值;The current resting reference feature is determined according to the current high-frequency QRS envelope curve and the age; the current resting reference feature includes the current number of resting positive leads, the current number of resting critical leads, the first target number of leads, the second target number of leads, the current target high-frequency morphology index and the current target root mean square voltage; the first target number of leads refers to the number of resting leads whose current high-frequency morphology index is greater than or equal to the first index threshold; the second target number of leads refers to the number of resting leads whose current root mean square voltage is less than or equal to the first voltage threshold; the current target high-frequency morphology index is the maximum value of the current high-frequency morphology indexes corresponding to each resting lead; the current target root mean square voltage is the minimum value of the current root mean square voltages corresponding to each resting lead;

对所述当前运动心电信号中QRS波群的高频成分进行分析得到当前高频QRS波形曲线;Analyze the high-frequency components of the QRS complex in the current exercise electrocardiogram signal to obtain a current high-frequency QRS waveform curve;

根据所述当前运动心电信号确定所述受测者的当前最大心率;Determine the current maximum heart rate of the subject according to the current exercise electrocardiogram signal;

根据所述当前高频QRS波形曲线、所述年龄与所述当前最大心率确定当前运动参考特征;所述当前运动参考特征包括当前运动阳性导联数量、当前运动临界导联数量、第三目标导联数量、第四目标导联数量、第五目标导联数量,以及各运动导联对应的第一振幅下降相对值与第二振幅下降相对值;所述第三目标导联数量是指相应第一振幅下降相对值大于或等于第一相对值阈值的运动导联的数量;所述第四目标导联数量是指相应当前高频QRS波形曲线在第一时间段内呈下降与上升反复波动趋势的运动导联的数量;所述第五目标导联数量是指相应第二振幅下降相对值大于或等于第二相对值阈值的运动导联的数量;The current motion reference feature is determined according to the current high-frequency QRS waveform curve, the age and the current maximum heart rate; the current motion reference feature includes the number of current motion positive leads, the number of current motion critical leads, the number of third target leads, the number of fourth target leads, the number of fifth target leads, and the first amplitude decrease relative value and the second amplitude decrease relative value corresponding to each motion lead; the third target lead number refers to the number of motion leads whose corresponding first amplitude decrease relative value is greater than or equal to the first relative value threshold; the fourth target lead number refers to the number of motion leads whose corresponding current high-frequency QRS waveform curve shows a trend of repeated decrease and increase within a first time period; the fifth target lead number refers to the number of motion leads whose corresponding second amplitude decrease relative value is greater than or equal to the second relative value threshold;

根据所述当前静息参考特征与所述当前运动参考特征确定当前整体风险评估分数。A current overall risk assessment score is determined according to the current rest reference feature and the current motion reference feature.

在其中一个实施例中,所述根据所述当前静息参考特征与所述当前运动参考特征确定当前整体风险评估分数,包括:In one embodiment, determining a current overall risk assessment score according to the current resting reference feature and the current motion reference feature comprises:

根据所述当前静息参考特征、所述当前运动参考特征与当前融合参考特征确定当前整体风险评估分数;所述当前融合参考特征包括所述当前静息阳性导联数量、所述当前静息临界导联数量、所述第一目标导联数量、所述当前目标高频形态指数、所述当前运动阳性导联数量与所述当前运动临界导联数量,以及各运动导联对应的第二振幅下降相对值。The current overall risk assessment score is determined according to the current resting reference feature, the current motion reference feature and the current fusion reference feature; the current fusion reference feature includes the current number of resting positive leads, the current number of resting critical leads, the first number of target leads, the current target high-frequency morphology index, the current number of motion positive leads and the current number of motion critical leads, and the relative value of the second amplitude decrease corresponding to each motion lead.

在其中一个实施例中,所述根据所述当前整体风险评估分数、所述历史整体风险评估分数、所述自律神经支配评估分数与心功能评估分数确定康复指导参考指标,包括:In one embodiment, determining the rehabilitation guidance reference index according to the current overall risk assessment score, the historical overall risk assessment score, the autonomic nerve control assessment score and the cardiac function assessment score includes:

根据所述当前整体风险评估分数与所述历史整体风险评估分数确定整体风险变化指标;Determining an overall risk change indicator based on the current overall risk assessment score and the historical overall risk assessment score;

根据所述当前整体风险评估分数、所述自律神经支配评估分数与心功能评估分数确定目标风险评估等级。A target risk assessment level is determined according to the current overall risk assessment score, the autonomic nerve innervation assessment score and the cardiac function assessment score.

一种心电数据分析装置,所述装置包括:An electrocardiogram data analysis device, comprising:

获取模块,用于获取在第一阶段对应于目标心电检测采集的当前心电数据;所述当前心电数据至少包括当前静息心电信号;An acquisition module, used to acquire current ECG data collected corresponding to the target ECG detection in the first stage; the current ECG data at least includes a current resting ECG signal;

分析模块,用于按照所述目标心电检测对所述当前心电数据中QRS波群的高频成分进行分析得到当前整体风险评估分数;An analysis module, configured to analyze the high frequency components of the QRS complex in the current ECG data according to the target ECG detection to obtain a current overall risk assessment score;

所述分析模块,还用于对所述当前静息心电信号进行分析得到自律神经支配评估分数与心功能评估分数;The analysis module is further used to analyze the current resting ECG signal to obtain an autonomic nerve control assessment score and a cardiac function assessment score;

所述获取模块,还用于获取受测者在第二阶段对应的历史整体风险评估分数;所述历史整体风险评估分数由所述目标心电检测对应的历史心电数据确定;The acquisition module is further used to acquire the historical overall risk assessment score of the subject corresponding to the second stage; the historical overall risk assessment score is determined by the historical ECG data corresponding to the target ECG detection;

评估模块,用于根据所述当前整体风险评估分数、所述历史整体风险评估分数、所述自律神经支配评估分数与心功能评估分数确定康复指导参考指标;所述康复指导参考指标包括整体风险变化指标与目标风险评估等级。An evaluation module is used to determine rehabilitation guidance reference indicators based on the current overall risk assessment score, the historical overall risk assessment score, the autonomic nerve control assessment score and the cardiac function assessment score; the rehabilitation guidance reference indicators include an overall risk change indicator and a target risk assessment level.

一种计算机设备,包括存储器和处理器,所述存储器存储有计算机可读指令,所述处理器执行所述计算机可读指令时实现各方法实施例中的步骤。A computer device includes a memory and a processor, wherein the memory stores computer-readable instructions, and the processor implements the steps in various method embodiments when executing the computer-readable instructions.

一种计算机可读存储介质,其上存储有计算机可读指令,所述计算机可读指令被处理器执行时实现各方法实施例中的步骤。A computer-readable storage medium stores computer-readable instructions, which implement the steps in various method embodiments when executed by a processor.

本申请的一个或多个实施例的细节在下面的附图和描述中提出。本申请的其它特征和优点将从说明书、附图以及权利要求书变得明显。The details of one or more embodiments of the present application are set forth in the following drawings and description. Other features and advantages of the present application will become apparent from the description, drawings, and claims.

附图说明BRIEF DESCRIPTION OF THE DRAWINGS

为了更清楚地说明本申请实施例中的技术方案,下面将对实施例中所需要使用的附图作简单地介绍,显而易见地,下面描述中的附图仅仅是本申请的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其它的附图。In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

图1为一个实施例中心电数据分析方法的流程示意图;FIG1 is a schematic diagram of a flow chart of an electrocardiogram data analysis method in one embodiment;

图2为另一个实施例中心电数据分析方法的流程示意图;FIG2 is a schematic flow chart of an electrocardiogram data analysis method in another embodiment;

图3为一个实施例中心电数据分析装置的框图;FIG3 is a block diagram of an electrocardiogram data analysis device in one embodiment;

图4为一个实施例中计算机设备的框图。FIG. 4 is a block diagram of a computer device in one embodiment.

具体实施方式DETAILED DESCRIPTION

为了使本申请的技术方案及优点更加清楚明白,以下结合附图及实施例,对本申请进行进一步详细说明。应当理解,此处描述的具体实施例仅仅用以解释本申请,并不用于限定本申请。In order to make the technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

本申请提供的心电数据分析方法,可以应用于终端,也可以应用于服务器,还可以应用于包括终端与服务器的交互系统,并通过终端和服务器的交互实现,在此不作具体限定。终端可以但不限于是各种个人计算机、笔记本电脑、智能手机、平板电脑、心电监测设备和便携式可穿戴设备,服务器可以用独立的服务器或者是多个服务器组成的服务器集群来实现。The ECG data analysis method provided in this application can be applied to a terminal, a server, or an interactive system including a terminal and a server, and is implemented through the interaction between the terminal and the server, which is not specifically limited here. The terminal can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, ECG monitoring devices, and portable wearable devices, and the server can be implemented as an independent server or a server cluster consisting of multiple servers.

在其中一个实施例中,如图1所示,提供了一种心电数据分析方法,以应用于服务器为例,该方法具体包括以下步骤:In one embodiment, as shown in FIG1 , a method for analyzing electrocardiogram data is provided. Taking application to a server as an example, the method specifically includes the following steps:

S102,获取在第一阶段对应于目标心电检测采集的当前心电数据;当前心电数据至少包括当前静息心电信号。S102, obtaining current ECG data collected corresponding to the target ECG detection in the first stage; the current ECG data at least includes a current resting ECG signal.

目标心电检测是指受测者所适用的心电检测的类型,其与受测者在康复阶段之前的临床适应症相匹配,至少包括静息心电检测。受测者在康复阶段之前的临床适应症用于指示该受测者在康复阶段之前所适用的心电检测,具体用于指示该受测者能否进行负荷运动心电检测,具体包括是否低血糖、低血压与心梗急性发作期,以及生命体征是否稳定等临床数据。若生命体征稳定、且排除低血糖、低血压与心梗急性发作期,表明受测者能进行负荷运动心电检测,则该临床适应症相匹配的目标心电检测包括静息心电检测与负荷运动心电检测,否则,表明该受测者不能进行负荷运动心电检测,则临床适应症相匹配的目标心电检测包括静息心电检测。受测者在静息心电检测过程中处于静息状态。受测者在负荷运动心电检测过程中处于运动状态,以通过运动增加受测者的心脏负荷。上述临床适应症的具体内容仅作为示例,并不用于具体限定。The target ECG test refers to the type of ECG test applicable to the subject, which matches the clinical indications of the subject before the rehabilitation stage, and at least includes a resting ECG test. The clinical indications of the subject before the rehabilitation stage are used to indicate the ECG test applicable to the subject before the rehabilitation stage, and are specifically used to indicate whether the subject can undergo a stress exercise ECG test, including clinical data such as whether the subject is hypoglycemic, hypotensive, and in the acute stage of myocardial infarction, and whether the vital signs are stable. If the vital signs are stable and hypoglycemia, hypotension, and acute stage of myocardial infarction are excluded, indicating that the subject can undergo a stress exercise ECG test, then the target ECG test that matches the clinical indication includes a resting ECG test and a stress exercise ECG test. Otherwise, indicating that the subject cannot undergo a stress exercise ECG test, then the target ECG test that matches the clinical indication includes a resting ECG test. The subject is in a resting state during the resting ECG test. The subject is in an exercise state during the stress exercise ECG test to increase the subject's cardiac load through exercise. The specific contents of the above clinical indications are only examples and are not intended to be specific limitations.

具体地,获取受测者的当前心电数据,该当前心电数据是在第一阶段的目标心电检测过程中采集到的心电数据,该目标心电检测由该受测者在第二阶段的临床适应症确定。目标心电检测至少包括静息心电检测,当前心电数据至少包括在第一阶段的静息心电检测过程中采集到的当前静息心电信号。Specifically, the current ECG data of the subject is obtained, and the current ECG data is the ECG data collected during the target ECG detection process of the first stage, and the target ECG detection is determined by the clinical indication of the subject in the second stage. The target ECG detection at least includes a resting ECG detection, and the current ECG data at least includes a current resting ECG signal collected during the resting ECG detection process of the first stage.

在其中一个实施例中,若目标心电检测包括静息心电检测,则当前心电数据包括当前静息心电信号与受测者的年龄。若目标心电检测包括静息心电检测与负荷运动心电检测,则当前心电数据包括受测者的年龄、当前静息心电信号,以及在第一阶段的负荷运动心电检测过程中采集到的当前运动心电信号。In one embodiment, if the target ECG detection includes a resting ECG detection, the current ECG data includes the current resting ECG signal and the age of the subject. If the target ECG detection includes a resting ECG detection and a load exercise ECG detection, the current ECG data includes the age of the subject, the current resting ECG signal, and the current exercise ECG signal collected during the first stage of the load exercise ECG detection.

在其中一个实施例中,第一阶段晚于第二阶段,例如,第一阶段对应康复阶段,第二阶段对应康复阶段之前,还例如,第一阶段与第二阶段均处于康复阶段,且第一阶段对应当前评估阶段,第二阶段对应前一个评估阶段。In one embodiment, the first stage is later than the second stage, for example, the first stage corresponds to the rehabilitation stage, and the second stage corresponds to before the rehabilitation stage. For example, the first stage and the second stage are both in the rehabilitation stage, and the first stage corresponds to the current evaluation stage, and the second stage corresponds to the previous evaluation stage.

S104,按照目标心电检测对当前心电数据中QRS波群的高频成分进行分析得到当前整体风险评估分数。S104, analyzing the high frequency components of the QRS complex in the current ECG data according to the target ECG detection to obtain a current overall risk assessment score.

当前整体风险评估分数用于表征心脏当前出现问题的整体风险大小,如当前整体风险评估分数越高,表征心脏当前出现问题的整体风险越大,也即是表征在第一阶段心脏出现问题的整体风险越大。The current overall risk assessment score is used to characterize the overall risk of the current heart problem. For example, the higher the current overall risk assessment score is, the greater the overall risk of the current heart problem is, which means that the overall risk of the heart problem in the first stage is greater.

具体地,按照目标心电检测对当前心电数据中QRS波群的高频成分进行分析得到当前参考特征,并根据当前参考特征确定当前整体风险评估分数。当前心电数据中包括多个反映左、右心室除极电位和时间的变化的QRS波群,每个QRS波群包括高频成分与低频成分。通过分别对每个目标心电检测对应的当前心电数据中QRS波群的高频成分进行分析,得到该目标心电检测所对应的当前参考特征。对所得到的当前参考特征进行综合分析得到当前整体风险评估分数。Specifically, the high-frequency components of the QRS complex in the current ECG data are analyzed according to the target ECG detection to obtain the current reference features, and the current overall risk assessment score is determined based on the current reference features. The current ECG data includes multiple QRS complexes that reflect the changes in the left and right ventricular depolarization potentials and times, and each QRS complex includes high-frequency components and low-frequency components. By analyzing the high-frequency components of the QRS complex in the current ECG data corresponding to each target ECG detection, the current reference features corresponding to the target ECG detection are obtained. A comprehensive analysis of the obtained current reference features is performed to obtain the current overall risk assessment score.

在其中一个实施例中,若目标心电检测包括静息心电检测,则当前参考特征包括由当前静息心电信号确定的当前静息参考特征,以根据当前静息参考特征确定当前整体风险评估分数。若目标心电检测包括静息心电检测与负荷运动心电检测,则当前参考特征包括当前静息参考特征,以及由当前运动心电信号确定的当前运动参考特征,还可包括由当前静息心电信号与当前运动心电信号确定的当前融合参考特征,以根据当前静息参考特征与当前运动参考特征确定当前整体风险评估分数,还可结合当前融合参考特征确定当前整体风险评估分数。In one embodiment, if the target ECG detection includes a resting ECG detection, the current reference feature includes a current resting reference feature determined by the current resting ECG signal, so as to determine the current overall risk assessment score according to the current resting reference feature. If the target ECG detection includes a resting ECG detection and a load exercise ECG detection, the current reference feature includes a current resting reference feature and a current motion reference feature determined by the current motion ECG signal, and may also include a current fusion reference feature determined by the current resting ECG signal and the current motion ECG signal, so as to determine the current overall risk assessment score according to the current resting reference feature and the current motion reference feature, and may also determine the current overall risk assessment score in combination with the current fusion reference feature.

在其中一个实施例中,按照目标心电检测将当前参考特征输入相应预设的风险评估函数或预先训练好的风险评估模型,得到当前整体风险评估子分数,并根据各当前整体风险评估子分数确定当前整体风险评估分数。In one of the embodiments, the current reference features are input into a corresponding preset risk assessment function or a pre-trained risk assessment model according to the target ECG detection to obtain the current overall risk assessment sub-scores, and the current overall risk assessment score is determined based on the current overall risk assessment sub-scores.

S106,对当前静息心电信号进行分析得到自律神经支配评估分数与心功能评估分数。S106, analyzing the current resting ECG signal to obtain an autonomic nerve control assessment score and a cardiac function assessment score.

自律神经支配评估分数用于表征自律神经支配异常的风险大小,如自律神经支配评估分数越高,表征自律神经支配异常的风险越大。心功能评估分数与心功能等级相关,心功能评估分数越高,心功能等级越高,表征心脏的功能下降越多。The autonomic nerve control assessment score is used to characterize the risk of autonomic nerve control abnormality. For example, the higher the autonomic nerve control assessment score, the greater the risk of autonomic nerve control abnormality. The cardiac function assessment score is related to the cardiac function grade. The higher the cardiac function assessment score, the higher the cardiac function grade, and the greater the decline in cardiac function.

具体地,对当前静息心电信号中QRS波群的高频成分进行分析得到当前高频QRS包络曲线,分析当前高频QRS包络曲线得到自律神经支配评估分数与心功能评估分数。Specifically, the high-frequency components of the QRS wave group in the current resting electrocardiogram signal are analyzed to obtain the current high-frequency QRS envelope curve, and the current high-frequency QRS envelope curve is analyzed to obtain the autonomic nerve control assessment score and the cardiac function assessment score.

S108,获取受测者在第二阶段对应的历史整体风险评估分数;历史整体风险评估分数由目标心电检测对应的历史心电数据确定。S108, obtaining the historical overall risk assessment score of the subject corresponding to the second stage; the historical overall risk assessment score is determined by the historical ECG data corresponding to the target ECG detection.

历史整体风险评估分数用于表征在第二阶段心脏出现问题的整体风险大小,如历史整体风险评估分数越高,表征在第二阶段心脏出现问题的整体风险越大。The historical overall risk assessment score is used to represent the overall risk of having heart problems in the second stage. For example, the higher the historical overall risk assessment score is, the greater the overall risk of having heart problems in the second stage.

具体地,获取受测者的历史整体风险评估分数,该历史整体风险评估分数是基于受测者的历史心电数据确定的,该历史心电数据是在第二阶段的目标心电检测过程中采集到的心电数据,该目标心电检测由该受测者在第二阶段的临床适应症确定。目标心电检测至少包括静息心电检测,历史心电数据至少包括在第二阶段的静息心电检测过程中采集到的历史静息心电信号。可以理解,参照本申请的一个或多个实施例中基于当前心电数据确定当前整体风险评估分数的处理流程,基于历史心电数据确定历史整体风险评估分数,在此不再赘述。Specifically, the historical overall risk assessment score of the subject is obtained, and the historical overall risk assessment score is determined based on the historical ECG data of the subject, and the historical ECG data is the ECG data collected during the target ECG detection process in the second stage, and the target ECG detection is determined by the clinical indication of the subject in the second stage. The target ECG detection includes at least a resting ECG detection, and the historical ECG data includes at least historical resting ECG signals collected during the resting ECG detection process in the second stage. It can be understood that with reference to the processing flow of determining the current overall risk assessment score based on the current ECG data in one or more embodiments of the present application, the historical overall risk assessment score is determined based on the historical ECG data, which will not be repeated here.

S110,根据当前整体风险评估分数、历史整体风险评估分数、自律神经支配评估分数与心功能评估分数确定康复指导参考指标;康复指导参考指标包括整体风险变化指标与目标风险评估等级。S110, determining rehabilitation guidance reference indicators based on the current overall risk assessment score, the historical overall risk assessment score, the autonomic nerve control assessment score and the cardiac function assessment score; the rehabilitation guidance reference indicators include the overall risk change indicator and the target risk assessment level.

整体风险变化指标用于表征心脏出现问题的整体风险的变化情况,以便于医生结合康复前后的临床症状准确评估受测者的心脏康复效果。例如,若整体风险变化指标为负数,则表征心脏出现问题的整体风险增加,且整体风险变化指标的绝对值越大,表征该整体风险增加得越多,表征存在心脏康复效果越差的可能性,若整体风险变化指标为正数,则表征心脏出现问题的整体风险下降,则整体风险变化指标越大,表征该整体风险下降得越多,表征存在心脏康复效果越好的可能性,若整体风险变化指标为0,则表征心脏出现问题的整体风险持平,表征存在心脏康复无效果的可能性。目标风险评估等级也可理解为心脏风险评估等级,用于表征在第一阶段心脏出现问题的风险大小,如目标风险评估等级越高,表征在第一阶段心脏出现问题的风险越大,以便于医生结合整体风险变化指标与临床症状准确识别受测者的心脏康复情况,从而给出进一步地康复指导参考建议。The overall risk change index is used to characterize the change in the overall risk of heart problems, so that doctors can accurately evaluate the cardiac rehabilitation effect of the subject in combination with the clinical symptoms before and after rehabilitation. For example, if the overall risk change index is a negative number, it indicates that the overall risk of heart problems has increased, and the larger the absolute value of the overall risk change index, the more the overall risk has increased, indicating the possibility of a worse cardiac rehabilitation effect. If the overall risk change index is a positive number, it indicates that the overall risk of heart problems has decreased. The larger the overall risk change index, the more the overall risk has decreased, indicating the possibility of a better cardiac rehabilitation effect. If the overall risk change index is 0, it indicates that the overall risk of heart problems remains the same, indicating the possibility of no effect of cardiac rehabilitation. The target risk assessment level can also be understood as the cardiac risk assessment level, which is used to characterize the risk of heart problems in the first stage. For example, the higher the target risk assessment level, the greater the risk of heart problems in the first stage, so that doctors can accurately identify the cardiac rehabilitation status of the subject in combination with the overall risk change index and clinical symptoms, and thus provide further rehabilitation guidance reference suggestions.

具体地,根据当前整体风险评估分数与历史整体风险评估分数确定整体风险变化指标,并根据当前整体风险评估分数、自律神经支配评估分数与心功能评估分数确定目标风险评估等级。Specifically, the overall risk change index is determined based on the current overall risk assessment score and the historical overall risk assessment score, and the target risk assessment level is determined based on the current overall risk assessment score, the autonomic nervous system innervation assessment score and the cardiac function assessment score.

上述心电数据分析方法,通过获取在第一阶段针对目标心电检测采集到的、且至少包括当前静息心电信号的当前心电数据,按照目标心电检测对当前心电数据中QRS波群的高频成分进行分析,得到表征受测者在第一阶段的心脏整体健康状况的当前整体风险评估分数,通过分析当前静息心电信号得到表征自律神经支配情况的自律神经支配评估分数,以及表征心功能状况的心功能评估分数,并获取基于在第二阶段对应于目标心电检测采集的历史心电数据确定的、用于表征受测者在第二阶段的心脏整体健康状况的历史整体风险评估分数,并综合考虑当前整体风险评估分数、历史整体风险评估分数、自律神经支配评估分数与心功能评估分数,得到包括整体风险变化指标与目标风险评估等级的康复指导参考指标,以供医生参考,以便于医生结合临床症状通过无创方式准确评估受测者在第一阶段的心脏康复情况,从而给出进一步地康复指导参考建议。The above-mentioned ECG data analysis method obtains the current ECG data collected for the target ECG detection in the first stage and at least includes the current resting ECG signal, analyzes the high-frequency components of the QRS wave group in the current ECG data according to the target ECG detection, and obtains the current overall risk assessment score that characterizes the overall heart health status of the subject in the first stage, obtains the autonomic nerve dominance assessment score that characterizes the autonomic nerve dominance status, and the cardiac function assessment score that characterizes the cardiac function status by analyzing the current resting ECG signal, and obtains the historical overall risk assessment score that is determined based on the historical ECG data collected corresponding to the target ECG detection in the second stage and is used to characterize the overall heart health status of the subject in the second stage, and comprehensively considers the current overall risk assessment score, the historical overall risk assessment score, the autonomic nerve dominance assessment score and the cardiac function assessment score to obtain the rehabilitation guidance reference index including the overall risk change index and the target risk assessment level for the doctor's reference, so that the doctor can accurately evaluate the subject's cardiac rehabilitation status in the first stage in a non-invasive manner in combination with the clinical symptoms, and thus provide further rehabilitation guidance reference suggestions.

在其中一个实施例中,S106包括:对当前静息心电信号中QRS波群的高频成分进行分析得到当前高频QRS包络曲线;根据当前高频QRS包络曲线确定自律神经支配评估指标与心功能评估指标;根据自律神经评估指标确定自律神经评估分数;根据心功能评估指标确定心功能评估分数。In one embodiment, S106 includes: analyzing the high-frequency components of the QRS complex in the current resting ECG signal to obtain the current high-frequency QRS envelope curve; determining the autonomic nerve dominance evaluation index and the cardiac function evaluation index based on the current high-frequency QRS envelope curve; determining the autonomic nerve evaluation score based on the autonomic nerve evaluation index; and determining the cardiac function evaluation score based on the cardiac function evaluation index.

具体地,对当前静息心电信号中的各QRS波群依次进行对齐、求均值、高频滤波处理得到高频QRS波群数据(QRS波群的高频波段数据),或者,对当前静息心电信号中的QRS波群依次进行高频滤波、对齐、求均值处理得到高频QRS波群数据,或者,通过分析当前静息心电信号从中提取出高频心电信号,再对高频心电信号中的QRS波群依次进行对齐与求均值处理得到高频QRS波群数据,在此不作具体限定。基于高频QRS波群数据能够形成高频QRS包络曲线,由此,对当前静息心电信号进行上述数据处理能够得到高频QRS包络曲线。分析各高频QRS包络曲线得到自律神经支配评估指标与心功能评估指标,并基于自律神经支配评估指标得到自律神经评估分数,以及基于心功能评估指标得到心功能评估分数。Specifically, each QRS complex in the current resting ECG signal is aligned, averaged, and high-frequency filtered in sequence to obtain high-frequency QRS complex data (high-frequency band data of the QRS complex), or the QRS complex in the current resting ECG signal is high-frequency filtered, aligned, and averaged in sequence to obtain high-frequency QRS complex data, or the high-frequency ECG signal is extracted from the current resting ECG signal by analyzing it, and then the QRS complex in the high-frequency ECG signal is aligned and averaged in sequence to obtain high-frequency QRS complex data, which is not specifically limited here. A high-frequency QRS envelope curve can be formed based on the high-frequency QRS complex data, and thus, the high-frequency QRS envelope curve can be obtained by performing the above data processing on the current resting ECG signal. The autonomic nerve dominance evaluation index and the cardiac function evaluation index are obtained by analyzing each high-frequency QRS envelope curve, and the autonomic nerve evaluation score is obtained based on the autonomic nerve dominance evaluation index, and the cardiac function evaluation score is obtained based on the cardiac function evaluation index.

上述实施例中,分析当前静息心电信号中QRS波群的高频成分,得到自律神经支配评估指标与心功能评估指标,并基于自律神经支配评估指标与心功能评估指标分别确定自律神经评估分数与心功能评估分数,以便于结合当前整体风险评估分数准确评估目标风险评估等级,以供医生参考。In the above embodiment, the high-frequency components of the QRS complex in the current resting ECG signal are analyzed to obtain the autonomic nerve dominance assessment index and the cardiac function assessment index, and the autonomic nerve assessment score and the cardiac function assessment score are determined based on the autonomic nerve dominance assessment index and the cardiac function assessment index, respectively, so as to accurately assess the target risk assessment level in combination with the current overall risk assessment score for the doctor's reference.

在其中一个实施例中,自律神经支配评估指标包括肢体导联平均电压与胸导联平均电压;根据自律神经评估指标确定自律神经评估分数,包括:根据肢体导联平均电压与胸导联平均电压的比值确定自律神经支配评估分数。In one embodiment, the autonomic nerve dominance assessment index includes an average voltage of limb leads and an average voltage of chest leads; determining the autonomic nerve assessment score according to the autonomic nerve assessment index includes: determining the autonomic nerve dominance assessment score according to the ratio of the average voltage of limb leads to the average voltage of chest leads.

静息导联包括肢体导联与胸导联。具体地,根据各肢体导联对应的当前高频QRS包络曲线确定肢体导联平均电压,根据各胸导联对应的当前高频QRS包络曲线确定胸导联平均电压。将肢体导联平均电压与胸导联平均电压的比值,输入预设的自律神经支配评估函数得到自律神经支配评估分数。The resting leads include limb leads and chest leads. Specifically, the average voltage of the limb leads is determined according to the current high-frequency QRS envelope curve corresponding to each limb lead, and the average voltage of the chest leads is determined according to the current high-frequency QRS envelope curve corresponding to each chest lead. The ratio of the average voltage of the limb leads to the average voltage of the chest leads is input into a preset autonomic nerve dominance assessment function to obtain an autonomic nerve dominance assessment score.

在其中一个实施例中,预设的自律神经支配评估函数的表达式如下:In one embodiment, the expression of the preset autonomic nerve control evaluation function is as follows:

其中, 表示自律神经支配评估分数, 表示肢体导联平均电压与胸导联平均电压的比值。 in, represents the autonomic nervous system assessment score, It represents the ratio of the average voltage of the limb leads to the average voltage of the chest leads.

在其中一个实施例中,若 表征自律神经平衡,若 表征迷走神经支配,若 表征交感神经支配,若 表征自律神经紊乱。 In one embodiment, if Indicating autonomic nervous system balance, if Characterizes vagus nerve innervation, if Sympathetic innervation, if or Characterizes autonomic nervous system disorders.

在其中一个实施例中,基于每条肢体导联对应的当前高频QRS包络曲线确定该肢体导联的峰值电压,对各肢体导联的峰值电压求平均得到肢体导联平均电压,或者,对每条肢体导联对应的当前高频QRS包络曲线上的电压求和值或均值得到相应电压和值或电压均值,对各肢体导联的电压和值或均值求平均得到肢体导联平均电压。可以理解,可按照类似的处理方式基于各胸导联对应的当前高频QRS包络曲线确定胸导联平均电压,在此不再赘述。In one embodiment, the peak voltage of each limb lead is determined based on the current high-frequency QRS envelope curve corresponding to each limb lead, and the peak voltages of each limb lead are averaged to obtain the average voltage of the limb lead, or the voltage sum or average value on the current high-frequency QRS envelope curve corresponding to each limb lead is summed or averaged to obtain the corresponding voltage sum or voltage average, and the voltage sum or average value of each limb lead is averaged to obtain the average voltage of the limb lead. It can be understood that the average voltage of the chest lead can be determined based on the current high-frequency QRS envelope curve corresponding to each chest lead in a similar processing manner, which will not be repeated here.

上述实施例中,基于肢体导联平均电压与胸导联平均电压的比值分析自律神经支配异常情况,以便于结合自律神经支配评估分数评估目标风险评估等级。In the above embodiment, the abnormality of autonomic nerve control is analyzed based on the ratio of the average voltage of the limb leads to the average voltage of the chest leads, so as to evaluate the target risk assessment level in combination with the autonomic nerve control assessment score.

在其中一个实施例中,心功能评估指标包括QRS时限与各静息导联对应的当前高频形态指数;根据心功能评估指标确定心功能评估分数,包括:根据QRS时限确定系数,根据当前高频形态指数确定相应静息导联的分值;根据各分值的和值与系数的乘积确定心功能评估分数。In one embodiment, the cardiac function assessment index includes the QRS duration and the current high-frequency morphology index corresponding to each resting lead; the cardiac function assessment score is determined according to the cardiac function assessment index, including: determining the coefficient according to the QRS duration, determining the score of the corresponding resting lead according to the current high-frequency morphology index; and determining the cardiac function assessment score according to the product of the sum of the scores and the coefficient.

QRS时限是自QRS波群起点至QRS波群终点的持续时长,QRS时限的延长与传导阻滞有关。具体地,通过分析各静息导联对应的当前高频QRS包络曲线,得到QRS时限与各静息导联对应的当前高频形态指数。将每个静息导联的当前高频形态指数与各预设指数区间进行匹配,以确定相应静息导联的分值,将QRS时限与各预设时限区间进行匹配,以确定系数,对各静息导联的分值求和,将各静息导联分值的和值与系数相乘得到总得分,并根据该总得分确定心功能评估分数。各预设指数区间与分值相关联,各预设时限区间与系数相关联。可以理解,心功能评估分数与心功能分级相关,心功能评估分数越高,对应心功能分级的级别越高,表征心脏的功能下降越多。The QRS duration is the duration from the start of the QRS complex to the end of the QRS complex, and the extension of the QRS duration is related to conduction block. Specifically, by analyzing the current high-frequency QRS envelope curve corresponding to each resting lead, the QRS duration and the current high-frequency morphological index corresponding to each resting lead are obtained. The current high-frequency morphological index of each resting lead is matched with each preset index interval to determine the score of the corresponding resting lead, the QRS duration is matched with each preset time limit interval to determine the coefficient, the score of each resting lead is summed, and the sum of the scores of each resting lead is multiplied by the coefficient to obtain a total score, and the cardiac function assessment score is determined according to the total score. Each preset index interval is associated with a score, and each preset time limit interval is associated with a coefficient. It can be understood that the cardiac function assessment score is related to the cardiac function grade. The higher the cardiac function assessment score, the higher the level of the corresponding cardiac function grade, and the more the heart function declines.

举例说明,预设指数区间包括[10%,19.9%]、[20%,29.9%]、[30%,39.9%]、[40%,49.9%]与[50%,100%],该五个区间各自对应的分值分别为1,2,3,4与5,若当前高频形态指数处于[10%,19.9%],则相应静息导联的分值为1,以此类推。可以理解,在该示例中,若当前高频形态指数小于10%,则相应静息导联的分值为0。预设时限区间包括[0,119]、[120,149],以及大于或等于150,单位为ms(毫秒),该三个预设时限区间各自对应的系数分别为1、1.25与1.5。For example, the preset index intervals include [10%, 19.9%], [20%, 29.9%], [30%, 39.9%], [40%, 49.9%] and [50%, 100%], and the scores corresponding to the five intervals are 1, 2, 3, 4 and 5 respectively. If the current high-frequency morphology index is at [10%, 19.9%], the score of the corresponding resting lead is 1, and so on. It can be understood that in this example, if the current high-frequency morphology index is less than 10%, the score of the corresponding resting lead is 0. The preset time limit intervals include [0, 119], [120, 149], and greater than or equal to 150, in ms (milliseconds), and the coefficients corresponding to the three preset time limit intervals are 1, 1.25 and 1.5 respectively.

在其中一个实施例中,在基于QRS时限与各当前高频形态指数得到总得分后,将该总得分与第一权重的乘积作为心功能评估分数,或者,将该总得分输入预设的心功能评估函数得到相应心功能评估分数。第一权重可自定义,比如0.25。心功能评估函数的表达式如下:In one embodiment, after obtaining a total score based on the QRS duration and each current high frequency morphology index, the product of the total score and the first weight is used as the cardiac function evaluation score, or the total score is input into a preset cardiac function evaluation function to obtain a corresponding cardiac function evaluation score. The first weight can be customized, such as 0.25. The expression of the cardiac function evaluation function is as follows:

其中, 表示心功能评估分数, 表示基于QRS时限与各当前高频形态指数得到的总得分。 in, represents the cardiac function assessment score, It represents the total score based on QRS duration and each current high frequency morphology index.

在其中一个实施例中,分析每条静息导联的当前高频QRS包络曲线,得到该当前高频QRS包络曲线上各振幅减小区域的总面积作为第一总面积,以及该当前高频QRS包络曲线下方总面积作为第二总面积,将第一总面积与第二总面积的比值作为相应静息导联的当前高频形态指数。In one embodiment, the current high-frequency QRS envelope curve of each resting lead is analyzed to obtain the total area of each amplitude reduction region on the current high-frequency QRS envelope curve as the first total area, and the total area below the current high-frequency QRS envelope curve as the second total area, and the ratio of the first total area to the second total area is used as the current high-frequency morphology index of the corresponding resting lead.

在其中一个实施例中,可根据任一静息导联的当前高频QRS包络曲线确定QRS时限,也可将各静息导联对应的QRS时限的均值作为用于确定心功能评估分数的QRS时限,还可根据当前静息心电信号的低频成分确定QRS时限,在此不做限定。In one embodiment, the QRS duration can be determined based on the current high-frequency QRS envelope curve of any resting lead, or the average of the QRS durations corresponding to each resting lead can be used as the QRS duration for determining the cardiac function assessment score, or the QRS duration can be determined based on the low-frequency component of the current resting ECG signal, which is not limited here.

上述实施例中,基于QRS时限与各静息导联对应的当前高频形态指数确定心功能评估分数,以便于结合心功能评估分数准确性评估目标风险评估等级。In the above embodiment, the cardiac function assessment score is determined based on the QRS duration and the current high frequency morphology index corresponding to each resting lead, so as to assess the target risk assessment level in combination with the accuracy of the cardiac function assessment score.

在其中一个实施例中,心功能评估指标还包括当前静息阳性导联数量与心律失常评估指标中的至少一项;根据各分值的和值与系数的乘积确定心功能评估分数,包括:根据各分值的和值与系数的乘积确定第一心功能评估子分数;根据第二心功能评估子分数与第三心功能评估子分数中的至少一项,以及第一心功能评估子分数确定心功能评估子分数;第二心功能评估子分数由当前静息阳性导联数量确定;第三心功能评估子分数由心律失常评估指标确定。In one embodiment, the cardiac function assessment index also includes at least one of the current number of resting positive leads and the arrhythmia assessment index; the cardiac function assessment score is determined according to the product of the sum of the scores and the coefficient, including: determining the first cardiac function assessment sub-score according to the product of the sum of the scores and the coefficient; determining the cardiac function assessment sub-score according to at least one of the second cardiac function assessment sub-score and the third cardiac function assessment sub-score, and the first cardiac function assessment sub-score; the second cardiac function assessment sub-score is determined by the current number of resting positive leads; and the third cardiac function assessment sub-score is determined by the arrhythmia assessment index.

当前静息阳性导联数量是指相应导联阳性指标指示为阳性的静息导联的数量,能够用于评估在第一阶段处于静息状态下的心肌缺血风险,二者成正相关关系。导联阳性指标指示为阳性,用于表征相应静息导联的当前高频形态指数大于或等于第二指数阈值、且受测者的年龄大于或等于预设年龄,或者,用于表征相应静息导联的当前高频形态指数大于或等于第三指数阈值、且受测者的年龄小于预设年龄。第二指数阈值与第三指数阈值可自定义,比如第二指数阈值为8%,第三指数阈值为15%。预设年龄可自定义,比如50岁。心律失常评估指标用于表征受测者是否存在心律失常的可能性,具体用于表征低频心电图中是否出现心律失常。The current number of resting positive leads refers to the number of resting leads in which the corresponding lead positive index indicates positive, which can be used to assess the risk of myocardial ischemia in the resting state in the first stage, and the two are positively correlated. The lead positive index indicates positive, which is used to characterize that the current high-frequency morphology index of the corresponding resting lead is greater than or equal to the second index threshold, and the age of the subject is greater than or equal to the preset age, or it is used to characterize that the current high-frequency morphology index of the corresponding resting lead is greater than or equal to the third index threshold, and the age of the subject is less than the preset age. The second index threshold and the third index threshold can be customized, for example, the second index threshold is 8% and the third index threshold is 15%. The preset age can be customized, for example, 50 years old. The arrhythmia assessment index is used to characterize whether the subject has the possibility of arrhythmia, and is specifically used to characterize whether arrhythmia occurs in the low-frequency electrocardiogram.

具体地,将各静息导联分值的和值与系数的乘积作为总得分,并根据该总得分确定第一心功能评估子分数。根据各当前高频QRS包络曲线确定相应静息导联的导联阳性指标,筛选并统计导联阳性指标指示为阳性的静息导联得到当前静息阳性导联数量,并根据当前静息阳性导联数量确定第二心功能评估子分数。分析当前静息心电信号得到低频心电图,分析该低频心电图得到心律失常评估指标,并根据心律失常评估指标确定第三心功能评估子分数。具体可参照现有技术,基于当前静息心电信号分析相应低频心电图中是否出现心律失常,在此不再赘述。进一步地,根据第二心功能评估子分数与第三心功能评估子分数中的至少一项,以及第一心功能评估子分数确定心功能评估子分数。可将上述总得分、当前静息阳性导联数量与心律失常评估指标,分别输入相应心功能评估子函数得到相应心功能评估子分数。Specifically, the sum of the scores of each resting lead and the product of the coefficient are taken as the total score, and the first cardiac function assessment sub-score is determined based on the total score. The lead positive index of the corresponding resting lead is determined according to each current high-frequency QRS envelope curve, and the resting leads indicated by the lead positive index as positive are screened and counted to obtain the current number of resting positive leads, and the second cardiac function assessment sub-score is determined based on the current number of resting positive leads. The current resting ECG signal is analyzed to obtain a low-frequency electrocardiogram, and the low-frequency electrocardiogram is analyzed to obtain an arrhythmia assessment index, and the third cardiac function assessment sub-score is determined based on the arrhythmia assessment index. Specifically, refer to the prior art, and analyze whether arrhythmia occurs in the corresponding low-frequency electrocardiogram based on the current resting ECG signal, which will not be repeated here. Further, the cardiac function assessment sub-score is determined based on at least one of the second cardiac function assessment sub-score and the third cardiac function assessment sub-score, as well as the first cardiac function assessment sub-score. The above total score, the current number of resting positive leads and the arrhythmia assessment index can be respectively input into the corresponding cardiac function assessment sub-function to obtain the corresponding cardiac function assessment sub-score.

在其中一个实施例中,心功能评估指标还包括当前静息临界导联数量。第二心功能评估子分数由当前静息阳性导联数量与当前静息临界导联数量确定。当前静息临界导联数量是指相应导联阳性指标指示为临界的静息导联的数量,能够用于评估在第一阶段处于静息状态下心肌缺血的临界风险,结合该参考特征能更准确地识别心肌缺血情况。导联阳性指标指示为临界,用于表征相应静息导联的当前高频形态指数大于第二指数阈值且小于第三指数阈值、且受测者的年龄小于预设年龄。In one of the embodiments, the cardiac function assessment index also includes the current number of resting critical leads. The second cardiac function assessment sub-score is determined by the current number of resting positive leads and the current number of resting critical leads. The current number of resting critical leads refers to the number of resting leads for which the corresponding lead positive index indicates critical, which can be used to assess the critical risk of myocardial ischemia in the resting state in the first stage. Combined with this reference feature, myocardial ischemia can be more accurately identified. The lead positive index indicates critical, which is used to characterize that the current high-frequency morphology index of the corresponding resting lead is greater than the second index threshold and less than the third index threshold, and the age of the subject is less than the preset age.

在其中一个实施例中,心功能评估函数的表达式还可表示如下:In one embodiment, the expression of the cardiac function evaluation function can also be expressed as follows:

其中, 表示心功能评估分数, 表示第一心功能评估子分数, 表示第二心功能评估子分数, 表示第三心功能评估子分数,各子分数分别基于以下表达式得到: in, represents the cardiac function assessment score, represents the first cardiac function assessment sub-score, represents the second cardiac function assessment sub-score, represents the third cardiac function assessment sub-score, and each sub-score is obtained based on the following expressions:

其中, 表示基于QRS时限与各当前高频形态指数得到的总得分, 可表示当前静息阳性导联数量,也可表示当前静息阳性导联数量与当前静息临界导联数量的和值。 in, It represents the total score based on QRS duration and each current high frequency morphology index. It can represent the current number of resting positive leads, or the sum of the current number of resting positive leads and the current number of resting critical leads.

上述实施例中,在QRS时限与各静息导联对应的当前高频形态指数的基础上,还结合当前静息阳性导联数量与心律失常评估指标中的至少一项进行心功能评估分析,能够得到更准确地心功能评估分数以供参考,以便于医生更准确地识别受测者的心脏康复情况。In the above embodiment, on the basis of the QRS duration and the current high-frequency morphology index corresponding to each resting lead, the cardiac function assessment analysis is also performed in combination with the current number of resting positive leads and at least one of the arrhythmia assessment indicators, so that a more accurate cardiac function assessment score can be obtained for reference, so that the doctor can more accurately identify the cardiac rehabilitation status of the subject.

在其中一个实施例中,若目标心电检测包括静息心电检测,则当前心电数据还包括受测者的年龄;S104包括:对当前静息心电信号中QRS波群的高频成分进行分析得到当前高频QRS包络曲线;根据当前高频QRS包络曲线与年龄确定当前静息参考特征;当前静息参考特征包括当前静息阳性导联数量、当前静息临界导联数量、第一目标导联数量、第二目标导联数量、当前目标高频形态指数与当前目标均方根电压;第一目标导联数量是指当前高频形态指数大于或等于第一指数阈值的静息导联的数量;第二目标导联数量是指当前均方根电压小于或等于第一电压阈值的静息导联的数量;当前目标高频形态指数为各静息导联对应的当前高频形态指数中的最大值;当前目标均方根电压为各静息导联对应的当前均方根电压中的最小值;根据当前静息参考特征确定当前整体风险评估分数。In one of the embodiments, if the target ECG detection includes a resting ECG detection, the current ECG data also includes the age of the subject; S104 includes: analyzing the high-frequency components of the QRS complex in the current resting ECG signal to obtain the current high-frequency QRS envelope curve; determining the current resting reference feature based on the current high-frequency QRS envelope curve and the age; the current resting reference feature includes the current number of resting positive leads, the current number of resting critical leads, the first target number of leads, the second target number of leads, the current target high-frequency morphology index and the current target root mean square voltage; the first target number of leads refers to the number of resting leads whose current high-frequency morphology index is greater than or equal to the first index threshold; the second target number of leads refers to the number of resting leads whose current root mean square voltage is less than or equal to the first voltage threshold; the current target high-frequency morphology index is the maximum value of the current high-frequency morphology indexes corresponding to each resting lead; the current target root mean square voltage is the minimum value of the current root mean square voltages corresponding to each resting lead; and determining the current overall risk assessment score based on the current resting reference feature.

第一指数阈值可自定义,比如20%,第一电压阈值具体可自定义,比如4uV(微伏)。具体地,按照本申请的一个或多个实施例中的分析方式,基于当前静息心电信号分析得到当前高频QRS包络曲线,以及各当前高频QRS包络曲线分析得到相应静息导联的当前高频形态指数。根据受测者的年龄与各静息导联对应的当前高频形态指数分别确定相应导联阳性指标,筛选并统计相应导联阳性指标指示为阳性的静息导联得到当前静息阳性导联数量,筛选并统计相应导联阳性指标指示为临界的静息导联得到当前静息临界导联数量。筛选并统计当前高频形态指数大于或等于统计当前高第一指数阈值的静息导联得到第一目标导联数量,以及从各静息导联对应的当前高频形态指数中筛选最大值作为当前目标高频形态指数。对各条静息导联对应的当前高频QRS包络曲线求均方根,得到相应静息导联的当前均方根电压,筛选并统计当前均方根电压小于或等于第一电压阈值的静息导联得到第二目标导联数量,以及从各静息导联对应的当前均方根电压中筛选最小值作为当前目标均方根电压。进一步地,将当前静息参考特征输入针对静息心电检测预配置的风险评估函数,得到当前整体风险评估分数。The first index threshold can be customized, such as 20%, and the first voltage threshold can be customized, such as 4uV (microvolt). Specifically, according to the analysis method in one or more embodiments of the present application, the current high-frequency QRS envelope curve is obtained based on the current resting ECG signal analysis, and the current high-frequency morphological index of the corresponding resting lead is obtained by analyzing each current high-frequency QRS envelope curve. According to the age of the subject and the current high-frequency morphological index corresponding to each resting lead, the corresponding lead positive index is respectively determined, and the resting leads indicated as positive by the corresponding lead positive index are screened and counted to obtain the current number of resting positive leads, and the resting leads indicated as critical by the corresponding lead positive index are screened and counted to obtain the current number of resting critical leads. The resting leads whose current high-frequency morphological index is greater than or equal to the current high-first index threshold are screened and counted to obtain the first target lead number, and the maximum value is screened from the current high-frequency morphological index corresponding to each resting lead as the current target high-frequency morphological index. The root mean square of the current high-frequency QRS envelope curve corresponding to each resting lead is calculated to obtain the current root mean square voltage of the corresponding resting lead, and the resting leads whose current root mean square voltage is less than or equal to the first voltage threshold are screened and counted to obtain the second target lead number, and the minimum value is screened from the current root mean square voltage corresponding to each resting lead as the current target root mean square voltage. Further, the current resting reference feature is input into the risk assessment function preconfigured for resting ECG detection to obtain the current overall risk assessment score.

在其中一个实施例中,针对静息心电检测预配置的风险评估函数的表达式如下:In one embodiment, the expression of the risk assessment function preconfigured for resting ECG detection is as follows:

其中, 为当前整体风险评估分数, 为当前静息临界导联数量, 为当前静息阳性导联数量, 为第一目标导联数量, 为第二目标导联数量, 为基于当前目标高频形态指数确定的附加分数, 为基于当前目标均方根电压确定的附加分数,分别基于以下表达式得到: in, is the current overall risk assessment score, is the current number of resting critical leads, is the current number of resting positive leads, is the first target lead number, is the second target lead number, is an additional score determined based on the current target high frequency morphology index, is the additional fraction determined based on the current target RMS voltage, and is obtained based on the following expressions:

其中, 为当前目标高频形态指数, 为当前目标均方根电压, 为微伏。 in, is the current target high frequency morphological index, is the current target RMS voltage, Microvolt.

上述实施例中,若在第二阶段的临床适应症指示受测者不能进行负荷运动心电检测,则根据在第一阶段的静息心电检测过程中采集到的当前静息心电信号与受测者的年龄确定当前静息参考特征,以便于根据当前静息参考特征准确评估受测者在第一阶段的当前整体风险评估分数,以供医生参考。In the above embodiment, if the clinical indications in the second stage indicate that the subject cannot undergo stress exercise ECG testing, the current resting reference characteristics are determined based on the current resting ECG signal collected during the resting ECG testing process in the first stage and the subject's age, so as to accurately evaluate the subject's current overall risk assessment score in the first stage based on the current resting reference characteristics for the doctor's reference.

在其中一个实施例中,若目标心电检测包括静息心电检测与负荷运动心电检测,则当前心电数据还包括受测者的年龄与当前运动心电信号;S104包括:对当前静息心电信号中QRS波群的高频成分进行分析得到当前高频QRS包络曲线;根据当前高频QRS包络曲线与年龄确定当前静息参考特征;当前静息参考特征包括当前静息阳性导联数量、当前静息临界导联数量、第一目标导联数量、第二目标导联数量、当前目标高频形态指数与当前目标均方根电压;第一目标导联数量是指当前高频形态指数大于或等于第一指数阈值的静息导联的数量;第二目标导联数量是指当前均方根电压小于或等于第一电压阈值的静息导联的数量;当前目标高频形态指数为各静息导联对应的当前高频形态指数中的最大值;当前目标均方根电压为各静息导联对应的当前均方根电压中的最小值;对当前运动心电信号中QRS波群的高频成分进行分析得到当前高频QRS波形曲线;根据当前运动心电信号确定受测者的当前最大心率;根据当前高频QRS波形曲线、年龄与当前最大心率确定当前运动参考特征;当前运动参考特征包括当前运动阳性导联数量、当前运动临界导联数量、第三目标导联数量、第四目标导联数量、第五目标导联数量,以及各运动导联对应的第一振幅下降相对值与第二振幅下降相对值;第三目标导联数量是指相应第一振幅下降相对值大于或等于第一相对值阈值的运动导联的数量;第四目标导联数量是指相应当前高频QRS波形曲线在第一时间段内呈下降与上升反复波动趋势的运动导联的数量;第五目标导联数量是指相应第二振幅下降相对值大于或等于第二相对值阈值的运动导联的数量;根据当前静息参考特征与当前运动参考特征确定当前整体风险评估分数。In one of the embodiments, if the target ECG detection includes resting ECG detection and load exercise ECG detection, the current ECG data also includes the age of the subject and the current exercise ECG signal; S104 includes: analyzing the high-frequency components of the QRS wave group in the current resting ECG signal to obtain the current high-frequency QRS envelope curve; determining the current rest reference feature according to the current high-frequency QRS envelope curve and the age; the current rest reference feature includes the current number of resting positive leads, the current number of resting critical leads, the first target number of leads, the second target number of leads, the current target high-frequency morphology index and the current target root mean square voltage; the first target number of leads refers to the number of resting leads whose current high-frequency morphology index is greater than or equal to the first index threshold; the second target number of leads refers to the number of resting leads whose current root mean square voltage is less than or equal to the first voltage threshold; the current target high-frequency morphology index is the maximum value of the current high-frequency morphology indexes corresponding to each resting lead; the current target root mean square voltage is the minimum value of the current root mean square voltage corresponding to each resting lead; The high-frequency components of the QRS wave group in the moving ECG signal are analyzed to obtain the current high-frequency QRS waveform curve; the current maximum heart rate of the subject is determined according to the current moving ECG signal; the current movement reference feature is determined according to the current high-frequency QRS waveform curve, age and the current maximum heart rate; the current movement reference feature includes the number of current movement positive leads, the number of current movement critical leads, the number of third target leads, the number of fourth target leads, the number of fifth target leads, and the first amplitude decrease relative value and the second amplitude decrease relative value corresponding to each movement lead; the number of third target leads refers to the number of movement leads whose corresponding first amplitude decrease relative value is greater than or equal to the first relative value threshold; the number of fourth target leads refers to the number of movement leads whose corresponding current high-frequency QRS waveform curve shows a trend of repeated decrease and increase within a first time period; the number of fifth target leads refers to the number of movement leads whose corresponding second amplitude decrease relative value is greater than or equal to the second relative value threshold; the current overall risk assessment score is determined according to the current resting reference feature and the current movement reference feature.

当前运动心电信号是在第一阶段的负荷运动心电检测过程中采集到的心电信号。负荷运动心电检测过程包括多个阶段,具体可依次包括静息阶段、运动阶段和恢复阶段等三个阶段,当前运动心电信号包括各阶段的心电信号,阶段的划分不限于此,具体可根据实际情况进行划分。当前最大心率是指受测者在第一阶段的整个负荷运动心电检测过程中的心率的最大值。当前运动阳性导联数量是指相应导联阳性指标指示为阳性的运动导联的数量,能够用于评估在第一阶段处于负荷运动状态下的心肌缺血风险,二者成正相关关系。当前运动临界导联数量是指相应导联阳性指标指示为临界的运动导联的数量,能够用于评估在第一阶段处于负荷运动状态下心肌缺血的临界风险,结合该参考特征能够更准确地评估在第一阶段处于负荷运动状态下的心肌缺血情况。The current exercise ECG signal is an ECG signal collected during the first stage of the load exercise ECG detection process. The load exercise ECG detection process includes multiple stages, which can specifically include three stages, namely, the resting stage, the exercise stage, and the recovery stage. The current exercise ECG signal includes the ECG signals of each stage. The division of the stages is not limited to this, and can be specifically divided according to actual conditions. The current maximum heart rate refers to the maximum value of the heart rate of the subject during the entire load exercise ECG detection process in the first stage. The current number of positive exercise leads refers to the number of exercise leads indicated as positive by the corresponding lead positive index, which can be used to assess the risk of myocardial ischemia in the first stage under load exercise, and the two are positively correlated. The current number of critical exercise leads refers to the number of exercise leads indicated as critical by the corresponding lead positive index, which can be used to assess the critical risk of myocardial ischemia in the first stage under load exercise. Combined with this reference feature, the myocardial ischemia in the first stage under load exercise can be more accurately assessed.

导联阳性指标指示为阳性,用于表征相应运动导联的第一振幅下降相对值大于第三相对值阈值、第一振幅下降绝对值大于预设绝对值阈值、受测者的年龄小于预设年龄、且受测者的当前最大心率大于目标心率的80%,或者,用于表征相应运动导联的第一振幅下降相对值大于第四相对值阈值、第一振幅下降绝对值大于预设绝对值阈值、受测者的年龄小于预设年龄、且受测者的当前最大心率小于或等于目标心率的80%,或者,用于表征相应运动导联的第一振幅下降相对值大于第四相对值阈值、第一振幅下降绝对值大于预设绝对值阈值、受测者的年龄大于或等于预设年龄、且受测者的当前最大心率大于目标心率的80%,或者,用于表征相应运动导联的第一振幅下降相对值大于第五相对值阈值、第一振幅下降绝对值大于预设绝对值阈值、受测者的年龄大于或等于预设年龄、且受测者的当前最大心率小于或等于目标心率的80%。第一相对值阈值、第二相对值阈值、第三相对值阈值、第四相对值阈值、第五相对值阈值、预设绝对值阈值、预设年龄根据实际情况自定义,比如分别为55%、40%、60%、50%、40%、1uV(微伏)、50岁。目标心率根据受测者的年龄确定,如目标心率=(220-受测者年龄)×85%。The lead positive indicator indicates a positive value, which is used to characterize that the relative value of the first amplitude decrease of the corresponding motion lead is greater than the third relative value threshold, the absolute value of the first amplitude decrease is greater than the preset absolute value threshold, the age of the subject is less than the preset age, and the current maximum heart rate of the subject is greater than 80% of the target heart rate, or, it is used to characterize that the relative value of the first amplitude decrease of the corresponding motion lead is greater than the fourth relative value threshold, the absolute value of the first amplitude decrease is greater than the preset absolute value threshold, the age of the subject is less than the preset age, and the current maximum heart rate of the subject is less than or equal to 80% of the target heart rate, or, it is used to characterize that the relative value of the first amplitude decrease of the corresponding motion lead is greater than the fourth relative value threshold, the absolute value of the first amplitude decrease is greater than the preset absolute value threshold, the age of the subject is greater than or equal to the preset age, and the current maximum heart rate of the subject is greater than 80% of the target heart rate, or, it is used to characterize that the relative value of the first amplitude decrease of the corresponding motion lead is greater than the fifth relative value threshold, the absolute value of the first amplitude decrease is greater than the preset absolute value threshold, the age of the subject is greater than or equal to the preset age, and the current maximum heart rate of the subject is less than or equal to 80% of the target heart rate. The first relative value threshold, the second relative value threshold, the third relative value threshold, the fourth relative value threshold, the fifth relative value threshold, the preset absolute value threshold, and the preset age are customized according to the actual situation, such as 55%, 40%, 60%, 50%, 40%, 1uV (microvolt), and 50 years old. The target heart rate is determined according to the age of the subject, such as target heart rate = (220-subject age) × 85%.

导联阳性指标指示为临界,用于表征相应运动导联的第一振幅下降相对值大于第三相对值阈值的90%且小于或等于第三相对值阈值、第一振幅下降绝对值大于预设绝对值阈值、受测者的年龄小于预设年龄、且受测者的当前最大心率大于目标心率的80%,或者,用于表征相应运动导联的第一振幅下降相对值大于第四相对值阈值的90%且小于或等于第四相对值阈值、第一振幅下降绝对值大于预设绝对值阈值、受测者的年龄小于预设年龄、且受测者的当前最大心率小于或等于目标心率的80%,或者,用于表征相应运动导联的第一振幅下降相对值大于第四相对值阈值的90%且小于或等于第四相对值阈值、第一振幅下降绝对值大于预设绝对值阈值、受测者的年龄大于或等于预设年龄、且受测者的当前最大心率大于目标心率的80%,或者,用于表征相应运动导联的第一振幅下降相对值大于第五相对值阈值的90%且小于或等于第五相对值阈值、第一振幅下降绝对值大于预设绝对值阈值、受测者的年龄大于或等于预设年龄、且受测者的当前最大心率小于或等于目标心率的80%。The lead positive indicator is critical, which is used to characterize that the relative value of the first amplitude decrease of the corresponding motion lead is greater than 90% of the third relative value threshold and less than or equal to the third relative value threshold, the absolute value of the first amplitude decrease is greater than the preset absolute value threshold, the age of the subject is less than the preset age, and the current maximum heart rate of the subject is greater than 80% of the target heart rate, or the relative value of the first amplitude decrease of the corresponding motion lead is greater than 90% of the fourth relative value threshold and less than or equal to the fourth relative value threshold, the absolute value of the first amplitude decrease is greater than the preset absolute value threshold, the age of the subject is less than the preset age, and the current maximum heart rate of the subject is less than or equal to 80% of the target heart rate. %, or, used to characterize that the first amplitude decrease relative value of the corresponding motion lead is greater than 90% of the fourth relative value threshold and less than or equal to the fourth relative value threshold, the first amplitude decrease absolute value is greater than the preset absolute value threshold, the age of the subject is greater than or equal to the preset age, and the current maximum heart rate of the subject is greater than 80% of the target heart rate, or, used to characterize that the first amplitude decrease relative value of the corresponding motion lead is greater than 90% of the fifth relative value threshold and less than or equal to the fifth relative value threshold, the first amplitude decrease absolute value is greater than the preset absolute value threshold, the age of the subject is greater than or equal to the preset age, and the current maximum heart rate of the subject is less than or equal to 80% of the target heart rate.

第二振幅下降相对值用于表征高频QRS波形曲线在第二时间段内的下降坡度或陡降程度,若第二振幅下降相对值超过第二相对值阈值,表明该下降坡度或陡降程度足够大,则表征存在冠脉狭窄的可能性。第一振幅下降相对值可理解为高频QRS波形曲线在第一时间段内的振幅下降相对值,第二振幅下降相对值可理解为高频QRS波形曲线在第二时间段内的振幅下降相对值。第一时间段包括运动前一段时间、运动中和运动后一段时间,运动前一段时间位于静息阶段,运动中包括整个运动阶段,运动后一段时间位于恢复阶段,运动前一段时间、运动中和运动后一段时间是连续的时间段。第二时间段包括运动前一段时间与运动中的一段时间,或者,第二时间段包括运动中的一段时间,运动前一段时间与运动中的一段时间为连续的时间段,运动中的一段时间可根据实际情况自定义,比如运动中的前3分钟。第一时间段具体可包括第二时间段,也即是指第二时间段为第一时间段的子区间。The second amplitude decrease relative value is used to characterize the descending slope or steepness of the high-frequency QRS waveform in the second time period. If the second amplitude decrease relative value exceeds the second relative value threshold, it indicates that the descending slope or steepness is large enough, which characterizes the possibility of coronary stenosis. The first amplitude decrease relative value can be understood as the relative value of the amplitude decrease of the high-frequency QRS waveform in the first time period, and the second amplitude decrease relative value can be understood as the relative value of the amplitude decrease of the high-frequency QRS waveform in the second time period. The first time period includes a period of time before exercise, during exercise, and after exercise. The period of time before exercise is in the resting stage, the exercise includes the entire exercise stage, and the period of time after exercise is in the recovery stage. The period of time before exercise, during exercise, and after exercise are continuous time periods. The second time period includes a period of time before exercise and a period of time during exercise, or the second time period includes a period of time during exercise, and the period of time before exercise and a period of time during exercise are continuous time periods. A period of time during exercise can be customized according to actual conditions, such as the first 3 minutes during exercise. The first time period can specifically include the second time period, that is, the second time period is a sub-interval of the first time period.

具体地,按照本申请的一个或多个实施例中公开的当前静息参考特征确定方式,根据当前静息心电信号与受测者的年龄确定当前静息参考特征,在此不再赘述。当前运动心电信号包括受测者在第一阶段的整个负荷运动心电检测过程中各次心跳对应的QRS波群。通过窗口函数按照时序与预设移动步长将当前运动心电信号划分为多个心电信号子集,每个心电信号子集包括多次心跳对应的QRS波群。对于每个心电信号子集,对其所包括的多次心跳对应的QRS波群,依次进行对齐、求均值与高频滤波处理得到相应高频QRS波群数据(QRS波群的高频波段数据),对该高频QRS波群数据求均方根得到相应均方根电压,作为该心电信号子集对应的均方根电压/强度/振幅。按照时序对各心电信号子集对应的均方根电压/强度/振幅进行曲线平滑处理,得到当前运动心电信号对应的当前高频QRS波形曲线,由此,当前高频QRS波形曲线又可理解为高频QRS时间-强度曲线。窗口函数的窗口长度与预设移动步长均可根据实际需求自定义,比如,窗口长度设置为10秒,预设移动步长设置为10秒或一次心跳周期,一次心跳周期是指相邻两次心跳之间的时间间隔,在此不作具体限定。按照时序是指按照信号的采集时间/负荷运动心电检测过程推进的检测时间的先后顺序。按照现有技术公开的从心电信号中提取心率序列的方式,从当前运动心电信号中提取受测者的心率序列,从心率序列中筛选最大值作为受测者的当前最大心率。Specifically, according to the current resting reference feature determination method disclosed in one or more embodiments of the present application, the current resting reference feature is determined according to the current resting ECG signal and the age of the subject, which will not be repeated here. The current exercise ECG signal includes the QRS wave group corresponding to each heartbeat of the subject during the entire load exercise ECG detection process in the first stage. The current exercise ECG signal is divided into multiple ECG signal subsets according to the timing and the preset moving step size through a window function, and each ECG signal subset includes QRS wave groups corresponding to multiple heartbeats. For each ECG signal subset, the QRS wave groups corresponding to the multiple heartbeats included therein are aligned, averaged and high-frequency filtered in turn to obtain the corresponding high-frequency QRS wave group data (high-frequency band data of the QRS wave group), and the high-frequency QRS wave group data is root-mean-squared to obtain the corresponding root-mean-square voltage, which is used as the root-mean-square voltage/intensity/amplitude corresponding to the ECG signal subset. The root mean square voltage/intensity/amplitude corresponding to each subset of ECG signals is smoothed according to the timing to obtain the current high-frequency QRS waveform curve corresponding to the current exercise ECG signal. Therefore, the current high-frequency QRS waveform curve can be understood as a high-frequency QRS time-intensity curve. The window length and preset moving step of the window function can be customized according to actual needs. For example, the window length is set to 10 seconds, and the preset moving step is set to 10 seconds or one heartbeat cycle. One heartbeat cycle refers to the time interval between two adjacent heartbeats, which is not specifically limited here. According to the timing refers to the order of detection time according to the signal acquisition time/load exercise ECG detection process. According to the method of extracting the heart rate sequence from the ECG signal disclosed in the prior art, the heart rate sequence of the subject is extracted from the current exercise ECG signal, and the maximum value is selected from the heart rate sequence as the current maximum heart rate of the subject.

进一步地,从第一时间段内的当前高频QRS波形曲线上选取均方根电压最大的点作为第一参考点,从第一时间段内的当前高频QRS波形曲线上选取时间晚于第一参考点、且均方根电压最小的点作为第二参考点,将第一参考点的均方根电压与第二参考点的均方根电压作差得到第一振幅下降绝对值,将第一振幅下降绝对值与第一参考点的均方根电压的比值确定为第一振幅下降相对值。筛选并统计相应第一振幅下降相对值大于或等于第一相对值阈值的运动导联得到第三目标导联数量。根据第一振幅下降相对值、第一振幅下降绝对值、受测者的年龄与最大心率确定相应当前高频QRS波形曲线的导联阳性指标,作为相应运动导联所对应的导联阳性指标。筛选并统计相应导联阳性指标指示为阳性的运动导联得到当前运动阳性导联数量,以及筛选并统计相应导联阳性指标指示为临界的运动导联得到当前运动临界导联数量。分析各运动导联对应的当前高频QRS波形曲线在第一时间段内的变化趋势,以筛选并统计相应当前高频QRS波形曲线在第一时间段内呈下降与上升反复波动趋势的运动导联,得到第四目标导联数量。Further, a point with the largest root mean square voltage is selected from the current high-frequency QRS waveform curve within the first time period as the first reference point, and a point with a time later than the first reference point and the smallest root mean square voltage is selected from the current high-frequency QRS waveform curve within the first time period as the second reference point, and the root mean square voltage of the first reference point is subtracted from the root mean square voltage of the second reference point to obtain the first amplitude decrease absolute value, and the ratio of the first amplitude decrease absolute value to the root mean square voltage of the first reference point is determined as the first amplitude decrease relative value. The motion leads whose corresponding first amplitude decrease relative value is greater than or equal to the first relative value threshold are screened and counted to obtain the third target lead number. The lead positive index of the corresponding current high-frequency QRS waveform curve is determined according to the first amplitude decrease relative value, the first amplitude decrease absolute value, the age of the subject and the maximum heart rate, as the lead positive index corresponding to the corresponding motion lead. The motion leads whose corresponding lead positive index indicates positive are screened and counted to obtain the current motion positive lead number, and the motion leads whose corresponding lead positive index indicates critical are screened and counted to obtain the current motion critical lead number. The change trend of the current high-frequency QRS waveform curve corresponding to each motion lead in the first time period is analyzed to screen and count the motion leads whose corresponding current high-frequency QRS waveform curve shows a downward and upward repeated fluctuation trend in the first time period to obtain the fourth target lead number.

从第二时间段内的当前高频QRS波形曲线上选取均方根电压最小的点作为第三参考点,从第二时间段内当前高频QRS波形曲线上选取时间早于第三参考点、且均方根电压最大的点作为第四参考点,将第四参考点的均方根电压与第三参考点的均方根电压作差得到第二时间段内的第二振幅下降绝对值,将第二振幅下降绝对值与第四参考点的均方根电压的比值作为第二振幅下降相对值。筛选并统计相应第二振幅下降相对值大于或等于第二相对值阈值的运动导联得到第五目标导联数量。A point with the smallest root mean square voltage is selected from the current high-frequency QRS waveform curve in the second time period as the third reference point, and a point with a time earlier than the third reference point and the largest root mean square voltage is selected from the current high-frequency QRS waveform curve in the second time period as the fourth reference point, and the root mean square voltage of the fourth reference point is subtracted from the root mean square voltage of the third reference point to obtain the second amplitude decrease absolute value in the second time period, and the ratio of the second amplitude decrease absolute value to the root mean square voltage of the fourth reference point is used as the second amplitude decrease relative value. The motion leads whose corresponding second amplitude decrease relative value is greater than or equal to the second relative value threshold are screened and counted to obtain the fifth target lead number.

进一步地,将当前静息参考特征输入针对静息心电检测预配置的风险评估函数或风险评估模型,得到第一当前整体风险评估子分数。将当前运动参考特征输入针对负荷运动心电检测预配置的风险评估函数或风险评估模型,得到第二当前整体风险评估子分数,并将第一当前整体风险评估子分数与第二当前整体风险评估子分数中的最大值确定为当前整体风险评估分数。Further, the current resting reference feature is input into a risk assessment function or risk assessment model preconfigured for resting ECG detection to obtain a first current overall risk assessment sub-score. The current motion reference feature is input into a risk assessment function or risk assessment model preconfigured for load motion ECG detection to obtain a second current overall risk assessment sub-score, and the maximum value of the first current overall risk assessment sub-score and the second current overall risk assessment sub-score is determined as the current overall risk assessment score.

在其中一个实施例中,当前高频QRS波形曲线在第一时间段内呈下降与上升反复波动趋势,是指当前高频QRS波形曲线在第一时间段内呈下降趋势的总次数大于或等于两次,且上升趋势与下降趋势交替出现。比如当前高频QRS波形曲线在第一时间段内呈“W”型或“倒N”型波形。In one embodiment, the current high-frequency QRS waveform curve presents a downward and upward repeated fluctuation trend in the first time period, which means that the total number of times the current high-frequency QRS waveform curve presents a downward trend in the first time period is greater than or equal to two times, and the upward trend and the downward trend appear alternately. For example, the current high-frequency QRS waveform curve presents a "W" type or "inverted N" type waveform in the first time period.

在其中一个实施例中,针对静息心电检测预配置的风险评估函数的表达式如下:In one embodiment, the expression of the risk assessment function preconfigured for resting ECG detection is as follows:

其中, 为第一当前整体风险评估子分数,上述表达式中各变量(当前静息参考特征)的物理含义与其在相应实施例中的物理含义一致,在此不再赘述。 in, is the first current overall risk assessment sub-score. The physical meaning of each variable (current resting reference feature) in the above expression is consistent with its physical meaning in the corresponding embodiment and will not be repeated here.

在其中一个实施例中,针对负荷运动心电检测预配置的风险评估函数的表达式如下:In one embodiment, the expression of the risk assessment function preconfigured for stress exercise ECG detection is as follows:

其中, 为第二当前整体风险评估子分数, 为当前运动临界导联数量, 为当前运动阳性导联数量, 为第三目标导联数量, 为第四目标导联数量, 为第五目标导联数量, 为基于各运动导联对应的第一振幅下降相对值确定的附加分数, 为基于各运动导联对应的第二振幅下降相对值确定的附加分数,分别基于以下表达式得到: in, is the second current overall risk assessment sub-score, is the current number of critical motion leads, is the current number of motion-positive leads, is the third target lead number, is the fourth target lead number, is the fifth target lead number, is an additional score determined based on the relative value of the first amplitude decrease corresponding to each motion lead, is an additional score determined based on the relative value of the second amplitude decrease corresponding to each motion lead, and is obtained based on the following expressions:

在其中一个实施例中,基于当前心电数据确定当前整体风险评估分数的表达式如下:In one embodiment, the expression for determining the current overall risk assessment score based on the current ECG data is as follows:

其中, 为当前整体风险评估分数, 为第一当前整体风险评估子分数, 为第二当前整体风险评估子分数。 in, is the current overall risk assessment score, is the first current overall risk assessment sub-score, is the second current overall risk assessment sub-score.

上述实施例中,若在第二阶段的临床适应症指示受测者能进行负荷运动心电检测,则根据在第一阶段的静息心电检测过程中采集到的当前静息心电信号与受测者的年龄确定当前静息参考特征,以及根据在第一阶段的负荷运动心电检测过程中采集到的运动心电信号与受测者年龄确定当前运动参考特征,以便于根据当前静息参考特征与当前运动参考特征,准确评估受测者在第一阶段的当前整体风险评估分数,以供医生参考。In the above embodiment, if the clinical indications in the second stage indicate that the subject can undergo stress exercise ECG testing, the current resting reference characteristics are determined based on the current resting ECG signal collected during the resting ECG testing process in the first stage and the subject's age, and the current motion reference characteristics are determined based on the motion ECG signal collected during the stress exercise ECG testing process in the first stage and the subject's age, so as to accurately evaluate the subject's current overall risk assessment score in the first stage based on the current resting reference characteristics and the current motion reference characteristics for the doctor's reference.

在其中一个实施例中,根据当前静息参考特征与当前运动参考特征确定当前整体风险评估分数,包括:根据当前静息参考特征、当前运动参考特征与当前融合参考特征确定当前整体风险评估分数;当前融合参考特征包括当前静息阳性导联数量、当前静息临界导联数量、第一目标导联数量、当前目标高频形态指数、当前运动阳性导联数量与当前运动临界导联数量,以及各运动导联对应的第二振幅下降相对值。In one of the embodiments, the current overall risk assessment score is determined based on the current resting reference feature and the current motion reference feature, including: determining the current overall risk assessment score based on the current resting reference feature, the current motion reference feature and the current fusion reference feature; the current fusion reference feature includes the current number of resting positive leads, the current number of resting critical leads, the number of first target leads, the current target high-frequency morphology index, the current number of motion positive leads and the current number of motion critical leads, and the relative value of the second amplitude decrease corresponding to each motion lead.

具体地,根据当前静息心电信号与当前运动心电信号确定当前融合参考特征。将当前静息参考特征输入针对静息心电检测预配置的风险评估函数或风险评估模型,得到第一当前整体风险评估子分数。将当前运动参考特征输入针对负荷运动心电检测预配置的风险评估函数或风险评估模型,得到第二当前整体风险评估子分数。将当前融合参考特征输入针对静息心电检测与负荷运动心电检测联合配置的风险评估函数或风险评估模型,得到第三当前整体风险评估子分数。将第一当前整体风险评估子分数、第二当前整体风险评估子分数与第三当前整体风险评估子分数中的最大值确定为当前整体风险评估分数。Specifically, the current fusion reference feature is determined based on the current resting ECG signal and the current exercise ECG signal. The current resting reference feature is input into the risk assessment function or risk assessment model preconfigured for resting ECG detection to obtain the first current overall risk assessment sub-score. The current exercise reference feature is input into the risk assessment function or risk assessment model preconfigured for load exercise ECG detection to obtain the second current overall risk assessment sub-score. The current fusion reference feature is input into the risk assessment function or risk assessment model jointly configured for resting ECG detection and load exercise ECG detection to obtain the third current overall risk assessment sub-score. The maximum value among the first current overall risk assessment sub-score, the second current overall risk assessment sub-score and the third current overall risk assessment sub-score is determined as the current overall risk assessment score.

在其中一个实施例中,针对静息心电检测与负荷运动心电检测联合配置的风险评估函数的表达式,如下:In one embodiment, the expression of the risk assessment function for the joint configuration of resting ECG detection and stress exercise ECG detection is as follows:

其中, 为第三当前整体风险评估子分数, 为当前静息临界导联数量, 为当前静息阳性导联数量, 为第一目标导联数量, 为基于当前目标高频形态指数确定的附加分数, 为当前运动临界导联数量, 为当前运动阳性导联数量, 为基于各运动导联对应的第二振幅下降相对值确定的附加分数。 in, The third current overall risk assessment sub-score is is the current number of resting critical leads, is the current number of resting positive leads, is the first target lead number, is an additional score determined based on the current target high frequency morphology index, is the current number of critical motion leads, is the current number of motion-positive leads, It is an additional score determined based on the relative value of the second amplitude decrease corresponding to each motion lead.

在其中一个实施例中,基于当前心电数据确定当前整体风险评估分数的表达式,还可表示如下:In one embodiment, the expression for determining the current overall risk assessment score based on the current ECG data can also be expressed as follows:

其中, 为当前整体风险评估分数, 为第一当前整体风险评估子分数, 为第二当前整体风险评估子分数, 为第三当前整体风险评估子分数。 in, is the current overall risk assessment score, is the first current overall risk assessment sub-score, is the second current overall risk assessment sub-score, is the third current overall risk assessment sub-score.

上述实施例中,在当前静息参考特征与当前运动参考特征基础上,还结合由当前静息心电信号与当前运动心电信号联合确定的当前融合参考特征,更准确地评估当前整体风险评估分数,以进一步得到更准确地康复指导参考指标供医生参考,以便于医生结合临床症状更准确地识别受测者在第一阶段的心脏康复情况,从而给出进一步康复指导参考建议。In the above embodiment, based on the current resting reference features and the current motion reference features, the current fusion reference features jointly determined by the current resting ECG signal and the current motion ECG signal are combined to more accurately evaluate the current overall risk assessment score, so as to further obtain more accurate rehabilitation guidance reference indicators for doctors' reference, so that doctors can more accurately identify the subject's cardiac rehabilitation status in the first stage in combination with clinical symptoms, and thus give further rehabilitation guidance reference suggestions.

在其中一个实施例中,S110包括:根据当前整体风险评估分数与历史整体风险评估分数确定整体风险变化指标;根据当前整体风险评估分数、自律神经支配评估分数与心功能评估分数确定目标风险评估等级。In one embodiment, S110 includes: determining an overall risk change index based on a current overall risk assessment score and a historical overall risk assessment score; and determining a target risk assessment level based on a current overall risk assessment score, an autonomic nervous system innervation assessment score, and a cardiac function assessment score.

具体地,将历史整体风险评估分数减去当前整体风险评估分数得到的分数差值作为整体风险变化指标,或者,将历史整体风险评估分数、当前整体风险评估分数分别与各预设分数区间进行比较,得到历史整体风险评估等级与当前整体风险评估等级,将历史整体风险评估等级减去当前整体风险评估等级得到等级差值,将该等级差值与第二权重的乘积确定为整体风险变化指标。将当前整体风险评估分数与第三权重的乘积,以及自律神经支配评估分数与心功能评估分数求和得到目标风险评估分数,并将目标风险评估分数与各预设分数区间进行比较得到目标风险评估等级。第二权重与第三权重可自定义,比如第二权重为10,第三权重为0.5。Specifically, the score difference obtained by subtracting the current overall risk assessment score from the historical overall risk assessment score is used as the overall risk change indicator, or the historical overall risk assessment score and the current overall risk assessment score are compared with each preset score interval to obtain the historical overall risk assessment level and the current overall risk assessment level, and the level difference is obtained by subtracting the current overall risk assessment level from the historical overall risk assessment level, and the product of the level difference and the second weight is determined as the overall risk change indicator. The product of the current overall risk assessment score and the third weight, and the sum of the autonomic nerve control assessment score and the cardiac function assessment score are obtained to obtain the target risk assessment score, and the target risk assessment score is compared with each preset score interval to obtain the target risk assessment level. The second weight and the third weight can be customized, for example, the second weight is 10 and the third weight is 0.5.

举例说明,以整体风险评估等级(包括历史整体风险评估等级与当前整体风险评估等级)与目标风险评估等级均包括依次升高的第一等级至第六等级共六个等级为例,针对每个等级预配置有相应的预设分数区间,分别为[0,10]、[11,30]、[31,50]、[51,60]、[61,70]、大于或等于71,该六个预设分数区间分别与整体风险评估等级或目标风险评估等级对应,若历史整体风险评估分数为80,且当前整体风险评估分数为46,则可将整体风险变化指标确定为34,或者,将历史整体风险评估等级确定为第六等级,将当前整体风险评估等级确定为第三等级,则将整体风险变化指标确定为3*10=30。若自律神经支配评估分数为30,心功能评估分数为10,则目标风险评估分数为46*0.5+30+10=63,则将目标风险评估等级确定为第五等级。可以理解,针对整体风险评估等级与目标风险评估等级划分的等级数量与预配置的预设分数区间均可不同。For example, the overall risk assessment level (including the historical overall risk assessment level and the current overall risk assessment level) and the target risk assessment level both include six levels from the first level to the sixth level in ascending order. For each level, a corresponding preset score interval is pre-configured, which is [0,10], [11,30], [31,50], [51,60], [61,70], and greater than or equal to 71. The six preset score intervals correspond to the overall risk assessment level or the target risk assessment level, respectively. If the historical overall risk assessment score is 80 and the current overall risk assessment score is 46, the overall risk change index can be determined as 34, or the historical overall risk assessment level is determined as the sixth level and the current overall risk assessment level is determined as the third level, then the overall risk change index is determined as 3*10=30. If the autonomic nerve control assessment score is 30 and the cardiac function assessment score is 10, then the target risk assessment score is 46*0.5+30+10=63, and the target risk assessment level is determined as the fifth level. It can be understood that the number of levels and the pre-configured preset score ranges for the overall risk assessment level and the target risk assessment level may be different.

上述实施例中,基于第一阶段的当前整体风险评估分数与第二阶段的历史整体风险评估分数,得到表征整体风险变化情况的整体风险变化指标,基于由第一阶段的当前心电数据得到的当前整体风险评估分数、自律神经支配评估分数与心功能评估分数,得到表征受测者在第一阶段心脏出现问题的风险大小的目标风险评估等级,以供医生参考,以便于医生结合临床症状准确识别受测者在第一阶段的心脏康复情况,从而给出进一步的康复指导参考建议。In the above embodiment, based on the current overall risk assessment score of the first stage and the historical overall risk assessment score of the second stage, an overall risk change index characterizing the overall risk change is obtained, and based on the current overall risk assessment score, the autonomic nervous system control assessment score and the cardiac function assessment score obtained from the current electrocardiogram data of the first stage, a target risk assessment level characterizing the risk of the subject having heart problems in the first stage is obtained for the doctor's reference, so that the doctor can accurately identify the subject's cardiac rehabilitation status in the first stage in combination with the clinical symptoms, and thus provide further reference suggestions for rehabilitation guidance.

如图2所示,在其中一个实施例中,提供了一种心电数据分析方法,该方法具体包括以下步骤:As shown in FIG. 2 , in one embodiment, a method for analyzing electrocardiogram data is provided, and the method specifically comprises the following steps:

S202,获取在第一阶段对应于目标心电检测采集的当前心电数据;当前心电数据至少包括当前静息心电信号。S202, obtaining current ECG data collected corresponding to the target ECG detection in the first stage; the current ECG data at least includes a current resting ECG signal.

S204,按照目标心电检测对当前心电数据中QRS波群的高频成分进行分析得到当前整体风险评估分数。S204, analyzing the high frequency components of the QRS complex in the current ECG data according to the target ECG detection to obtain a current overall risk assessment score.

S206,对当前静息心电信号中QRS波群的高频成分进行分析得到当前高频QRS包络曲线。S206, analyzing the high-frequency components of the QRS complex in the current resting ECG signal to obtain a current high-frequency QRS envelope curve.

S208,根据当前高频QRS包络曲线确定自律神经支配评估指标与心功能评估指标;自律神经支配评估指标包括肢体导联平均电压与胸导联平均电压;心功能评估指标包括QRS时限与各静息导联对应的当前高频形态指数,还包括当前静息阳性导联数量与心律失常评估指标中的至少一项。S208, determining the autonomic nerve dominance evaluation index and the cardiac function evaluation index according to the current high-frequency QRS envelope curve; the autonomic nerve dominance evaluation index includes the average voltage of the limb leads and the average voltage of the chest leads; the cardiac function evaluation index includes the current high-frequency morphology index corresponding to the QRS duration and each resting lead, and also includes at least one of the current number of resting positive leads and the arrhythmia evaluation index.

S210,根据肢体导联平均电压与胸导联平均电压的比值确定自律神经支配评估分数。S210, determining an autonomic nerve control assessment score according to a ratio of an average voltage of limb leads to an average voltage of chest leads.

S212,根据QRS时限确定系数,根据当前高频形态指数确定相应静息导联的分值。S212, determining a coefficient according to the QRS duration, and determining a score of a corresponding resting lead according to the current high frequency morphology index.

S214,根据各分值的和值与系数的乘积确定第一心功能评估子分数。S214: Determine a first cardiac function assessment sub-score according to the product of the sum of the scores and the coefficient.

S216,根据第二心功能评估子分数与第三心功能评估子分数中的至少一项,以及第一心功能评估子分数确定心功能评估子分数;第二心功能评估子分数由当前静息阳性导联数量确定;第三心功能评估子分数由心律失常评估指标确定。S216, determining a cardiac function assessment subscore according to at least one of the second cardiac function assessment subscore and the third cardiac function assessment subscore, and the first cardiac function assessment subscore; the second cardiac function assessment subscore is determined by the current number of resting positive leads; the third cardiac function assessment subscore is determined by an arrhythmia assessment index.

S218,获取受测者在第二阶段对应的历史整体风险评估分数;历史整体风险评估分数由目标心电检测对应的历史心电数据确定。S218, obtaining the historical overall risk assessment score of the subject corresponding to the second stage; the historical overall risk assessment score is determined by the historical ECG data corresponding to the target ECG detection.

S220,根据当前整体风险评估分数与历史整体风险评估分数确定整体风险变化指标。S220, determining an overall risk change indicator based on the current overall risk assessment score and the historical overall risk assessment score.

S222,根据当前整体风险评估分数、自律神经支配评估分数与心功能评估分数确定目标风险评估等级;康复指导参考指标包括整体风险变化指标与目标风险评估等级。S222, determining a target risk assessment level based on the current overall risk assessment score, the autonomic nerve control assessment score and the cardiac function assessment score; the rehabilitation guidance reference indicators include an overall risk change indicator and a target risk assessment level.

上述实施例中,通过获取并分析在第一阶段与目标心电检测对应的当前心电数据,得到当前整体风险评估分数,以及获取由在第二阶段与目标心电检测对应的历史心电数据确定的历史整体风险评估分数,通过对比分析该两个阶段的整体风险评估分数,得到表征整体风险变化情况的整体风险变化指标,基于由第一阶段的心电数据得到的当前整体风险评估分数、自律神经支配评估分数与心功能评估分数,得到表征受测者在第一阶段心脏出现问题的风险大小的目标风险评估等级,以供医生参考,以便于医生结合临床症状准确识别受测者在第一阶段的心脏康复情况,从而给出进一步的康复指导参考建议。In the above embodiment, the current overall risk assessment score is obtained by acquiring and analyzing the current ECG data corresponding to the target ECG detection in the first stage, and the historical overall risk assessment score determined by the historical ECG data corresponding to the target ECG detection in the second stage is obtained. By comparing and analyzing the overall risk assessment scores of the two stages, an overall risk change index characterizing the overall risk change is obtained. Based on the current overall risk assessment score, the autonomic nervous system control assessment score and the cardiac function assessment score obtained from the ECG data of the first stage, a target risk assessment level characterizing the risk of the subject having heart problems in the first stage is obtained for the doctor's reference, so that the doctor can accurately identify the subject's cardiac rehabilitation status in the first stage in combination with the clinical symptoms, and thus provide further reference suggestions for rehabilitation guidance.

在其中一个实施例中,在获取到在第二阶段对应于目标心电检测采集的历史心电数据后,按照目标心电检测对历史心电数据中QRS波群的高频成分进行分析得到历史整体风险评估分数。若目标心电检测包括静息心电检测,则历史心电数据还包括受测者的年龄;按照目标心电检测对历史心电数据中QRS波群的高频成分进行分析得到历史整体风险评估分数,包括:对历史静息心电信号中QRS波群的高频成分进行分析得到历史高频QRS包络曲线;根据历史高频QRS包络曲线与年龄确定历史静息参考特征;历史静息参考特征包括历史静息阳性导联数量、历史静息临界导联数量、第六目标导联数量、第七目标导联数量、历史目标高频形态指数与历史目标均方根电压;第六目标导联数量是指历史高频形态指数大于或等于第一指数阈值的静息导联的数量;第七目标导联数量是指历史均方根电压小于或等于第一电压阈值的静息导联的数量;历史目标高频形态指数为各静息导联对应的历史高频形态指数中的最大值;历史目标均方根电压为各静息导联对应的历史均方根电压中的最小值;根据历史静息参考特征确定历史整体风险评估分数。In one of the embodiments, after acquiring the historical ECG data collected in the second stage corresponding to the target ECG detection, the high-frequency components of the QRS complex in the historical ECG data are analyzed according to the target ECG detection to obtain a historical overall risk assessment score. If the target ECG test includes a resting ECG test, the historical ECG data also includes the age of the subject; the high-frequency components of the QRS complex in the historical ECG data are analyzed according to the target ECG test to obtain a historical overall risk assessment score, including: analyzing the high-frequency components of the QRS complex in the historical resting ECG signal to obtain a historical high-frequency QRS envelope curve; determining the historical resting reference features based on the historical high-frequency QRS envelope curve and the age; the historical resting reference features include the number of historical resting positive leads, the number of historical resting critical leads, the number of sixth target leads, the number of seventh target leads, the historical target high-frequency morphology index and the historical target root mean square voltage; the number of sixth target leads refers to the number of resting leads whose historical high-frequency morphology index is greater than or equal to the first index threshold; the number of seventh target leads refers to the number of resting leads whose historical root mean square voltage is less than or equal to the first voltage threshold; the historical target high-frequency morphology index is the maximum value of the historical high-frequency morphology indexes corresponding to each resting lead; the historical target root mean square voltage is the minimum value of the historical root mean square voltages corresponding to each resting lead; and the historical overall risk assessment score is determined based on the historical resting reference features.

在其中一个实施例中,若目标心电检测包括静息心电检测与负荷运动心电检测,则历史心电数据还包括受测者的年龄与历史运动心电信号;按照目标心电检测对历史心电数据中QRS波群的高频成分进行分析得到历史整体风险评估分数,包括:对历史静息心电信号中QRS波群的高频成分进行分析得到历史高频QRS包络曲线;根据历史高频QRS包络曲线与年龄确定历史静息参考特征;历史静息参考特征包括历史静息阳性导联数量、历史静息临界导联数量、第六目标导联数量、第七目标导联数量、历史目标高频形态指数与历史目标均方根电压;第六目标导联数量是指历史高频形态指数大于或等于第一指数阈值的静息导联的数量;第七目标导联数量是指历史均方根电压小于或等于第一电压阈值的静息导联的数量;历史目标高频形态指数为各静息导联对应的历史高频形态指数中的最大值;历史目标均方根电压为各静息导联对应的历史均方根电压中的最小值;对历史运动心电信号中QRS波群的高频成分进行分析得到历史高频QRS波形曲线;根据历史运动心电信号确定受测者的历史最大心率;根据历史高频QRS波形曲线、年龄与历史最大心率确定历史运动参考特征;历史运动参考特征包括历史运动阳性导联数量、历史运动临界导联数量、第八目标导联数量、第九目标导联数量、第十目标导联数量,以及各运动导联对应的第一振幅下降相对值与第二振幅下降相对值;第八目标导联数量是指相应第一振幅下降相对值大于或等于第一相对值阈值的运动导联的数量;第九目标导联数量是指相应历史高频QRS波形曲线在第一时间段内呈下降与上升反复波动趋势的运动导联的数量;第十目标导联数量是指相应第二振幅下降相对值大于或等于第二相对值阈值的运动导联的数量;根据历史静息参考特征与历史运动参考特征确定历史整体风险评估分数。In one embodiment, if the target ECG detection includes resting ECG detection and load exercise ECG detection, the historical ECG data also includes the age of the subject and the historical exercise ECG signal; the high-frequency components of the QRS wave group in the historical ECG data are analyzed according to the target ECG detection to obtain a historical overall risk assessment score, including: analyzing the high-frequency components of the QRS wave group in the historical resting ECG signal to obtain a historical high-frequency QRS envelope curve; determining the historical rest reference characteristics according to the historical high-frequency QRS envelope curve and age; the historical rest reference characteristics include the number of historical resting positive leads, the number of historical resting critical leads, the number of sixth target leads, the number of seventh target leads, the historical target high-frequency morphology index and the historical target root mean square voltage; the number of sixth target leads refers to the number of resting leads whose historical high-frequency morphology index is greater than or equal to the first index threshold; the number of seventh target leads refers to the number of resting leads whose historical root mean square voltage is less than or equal to the first voltage threshold; the historical target high-frequency morphology index is the maximum value of the historical high-frequency morphology index corresponding to each resting lead; the historical target root mean square voltage is the value of each resting lead. The minimum value of the corresponding historical root mean square voltage; the high-frequency components of the QRS wave group in the historical exercise ECG signal are analyzed to obtain the historical high-frequency QRS waveform curve; the historical maximum heart rate of the subject is determined according to the historical exercise ECG signal; the historical exercise reference characteristics are determined according to the historical high-frequency QRS waveform curve, age and historical maximum heart rate; the historical exercise reference characteristics include the number of historical exercise positive leads, the number of historical exercise critical leads, the number of eighth target leads, the number of ninth target leads, the number of tenth target leads, and the first amplitude decrease relative value and the second amplitude decrease relative value corresponding to each exercise lead; the number of eighth target leads refers to the number of exercise leads whose corresponding first amplitude decrease relative value is greater than or equal to the first relative value threshold; the number of ninth target leads refers to the number of exercise leads whose corresponding historical high-frequency QRS waveform curve shows a trend of repeated decrease and increase within the first time period; the number of tenth target leads refers to the number of exercise leads whose corresponding second amplitude decrease relative value is greater than or equal to the second relative value threshold; the historical overall risk assessment score is determined according to the historical resting reference characteristics and the historical exercise reference characteristics.

在其中一个实施例中,根据历史静息参考特征与历史运动参考特征确定历史整体风险评估分数,包括:根据历史静息参考特征、历史运动参考特征与历史融合参考特征确定历史整体风险评估分数;历史融合参考特征包括历史静息阳性导联数量、历史静息临界导联数量、第六目标导联数量、历史目标高频形态指数、历史运动阳性导联数量与历史运动临界导联数量,以及各运动导联对应的第二振幅下降相对值。In one embodiment, a historical overall risk assessment score is determined based on historical rest reference features and historical motion reference features, including: determining a historical overall risk assessment score based on historical rest reference features, historical motion reference features and historical fusion reference features; the historical fusion reference features include the number of historical rest positive leads, the number of historical rest critical leads, the number of sixth target leads, the historical target high-frequency morphology index, the number of historical motion positive leads and the number of historical motion critical leads, and the relative value of the second amplitude decrease corresponding to each motion lead.

应该理解的是,虽然图1和图2的流程图中的各个步骤按照箭头的指示依次显示,但是这些步骤并不是必然按照箭头指示的顺序依次执行。除非本文中有明确的说明,这些步骤的执行并没有严格的顺序限制,这些步骤可以以其它的顺序执行。而且,图1和图2中的至少一部分步骤可以包括多个步骤或者多个阶段,这些步骤或者阶段并不必然是在同一时刻执行完成,而是可以在不同的时刻执行,这些步骤或者阶段的执行顺序也不必然是依次进行,而是可以与其它步骤或者其它步骤中的步骤或者阶段的至少一部分轮流或者交替地执行。It should be understood that, although the various steps in the flowcharts of Fig. 1 and Fig. 2 are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in Fig. 1 and Fig. 2 may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

在其中一个实施例中,如图3所示,提供了一种心电数据分析装置300,包括:获取模块301、分析模块302与评估模块303,其中:In one embodiment, as shown in FIG3 , an electrocardiogram data analysis device 300 is provided, comprising: an acquisition module 301 , an analysis module 302 and an evaluation module 303 , wherein:

获取模块301,用于获取在第一阶段对应于目标心电检测采集的当前心电数据;当前心电数据至少包括当前静息心电信号;The acquisition module 301 is used to acquire the current ECG data collected corresponding to the target ECG detection in the first stage; the current ECG data at least includes the current resting ECG signal;

分析模块302,用于按照目标心电检测对当前心电数据中QRS波群的高频成分进行分析得到当前整体风险评估分数;An analysis module 302 is used to analyze the high frequency components of the QRS complex in the current ECG data according to the target ECG detection to obtain a current overall risk assessment score;

分析模块302,还用于对当前静息心电信号进行分析得到自律神经支配评估分数与心功能评估分数;The analysis module 302 is also used to analyze the current resting ECG signal to obtain an autonomic nerve control assessment score and a cardiac function assessment score;

获取模块301,还用于获取受测者在第二阶段对应的历史整体风险评估分数;历史整体风险评估分数由目标心电检测对应的历史心电数据确定;The acquisition module 301 is also used to obtain the historical overall risk assessment score corresponding to the subject in the second stage; the historical overall risk assessment score is determined by the historical ECG data corresponding to the target ECG detection;

评估模块303,用于根据当前整体风险评估分数、历史整体风险评估分数、自律神经支配评估分数与心功能评估分数确定康复指导参考指标;康复指导参考指标包括整体风险变化指标与目标风险评估等级。The evaluation module 303 is used to determine the rehabilitation guidance reference index according to the current overall risk assessment score, the historical overall risk assessment score, the autonomic nerve control assessment score and the cardiac function assessment score; the rehabilitation guidance reference index includes the overall risk change index and the target risk assessment level.

在其中一个实施例中,分析模块302,还用于对当前静息心电信号中QRS波群的高频成分进行分析得到当前高频QRS包络曲线;根据当前高频QRS包络曲线确定自律神经支配评估指标与心功能评估指标;根据自律神经评估指标确定自律神经评估分数;根据心功能评估指标确定心功能评估分数。In one embodiment, the analysis module 302 is also used to analyze the high-frequency components of the QRS complex in the current resting ECG signal to obtain the current high-frequency QRS envelope curve; determine the autonomic nerve dominance evaluation index and the cardiac function evaluation index according to the current high-frequency QRS envelope curve; determine the autonomic nerve evaluation score according to the autonomic nerve evaluation index; and determine the cardiac function evaluation score according to the cardiac function evaluation index.

在其中一个实施例中,自律神经支配评估指标包括肢体导联平均电压与胸导联平均电压;分析模块302,还用于根据肢体导联平均电压与胸导联平均电压的比值确定自律神经支配评估分数。In one embodiment, the autonomic nerve control assessment index includes the average voltage of limb leads and the average voltage of chest leads; the analysis module 302 is further used to determine the autonomic nerve control assessment score according to the ratio of the average voltage of limb leads to the average voltage of chest leads.

在其中一个实施例中,心功能评估指标包括QRS时限与各静息导联对应的当前高频形态指数;分析模块302,还用于根据QRS时限确定系数,根据当前高频形态指数确定相应静息导联的分值;根据各分值的和值与系数的乘积确定心功能评估分数。In one embodiment, the cardiac function assessment index includes the QRS duration and the current high-frequency morphology index corresponding to each resting lead; the analysis module 302 is also used to determine the coefficient according to the QRS duration, and determine the score of the corresponding resting lead according to the current high-frequency morphology index; and determine the cardiac function assessment score according to the product of the sum of the scores and the coefficient.

在其中一个实施例中,心功能评估指标还包括当前静息阳性导联数量与心律失常评估指标中的至少一项;分析模块302,还用于根据各分值的和值与系数的乘积确定第一心功能评估子分数;根据第二心功能评估子分数与第三心功能评估子分数中的至少一项,以及第一心功能评估子分数确定心功能评估子分数;第二心功能评估子分数由当前静息阳性导联数量确定;第三心功能评估子分数由心律失常评估指标确定。In one embodiment, the cardiac function assessment index also includes at least one of the current number of resting positive leads and the arrhythmia assessment index; the analysis module 302 is further used to determine the first cardiac function assessment sub-score based on the product of the sum of each score and the coefficient; determine the cardiac function assessment sub-score based on at least one of the second cardiac function assessment sub-score and the third cardiac function assessment sub-score, and the first cardiac function assessment sub-score; the second cardiac function assessment sub-score is determined by the current number of resting positive leads; and the third cardiac function assessment sub-score is determined by the arrhythmia assessment index.

在其中一个实施例中,若目标心电检测包括静息心电检测,则当前心电数据还包括受测者的年龄;分析模块302,还用于对当前静息心电信号中QRS波群的高频成分进行分析得到当前高频QRS包络曲线;根据当前高频QRS包络曲线与年龄确定当前静息参考特征;当前静息参考特征包括当前静息阳性导联数量、当前静息临界导联数量、第一目标导联数量、第二目标导联数量、当前目标高频形态指数与当前目标均方根电压;第一目标导联数量是指当前高频形态指数大于或等于第一指数阈值的静息导联的数量;第二目标导联数量是指当前均方根电压小于或等于第一电压阈值的静息导联的数量;当前目标高频形态指数为各静息导联对应的当前高频形态指数中的最大值;当前目标均方根电压为各静息导联对应的当前均方根电压中的最小值;根据当前静息参考特征确定当前整体风险评估分数。In one of the embodiments, if the target ECG detection includes a resting ECG detection, the current ECG data also includes the age of the subject; the analysis module 302 is also used to analyze the high-frequency components of the QRS wave group in the current resting ECG signal to obtain the current high-frequency QRS envelope curve; determine the current resting reference feature based on the current high-frequency QRS envelope curve and the age; the current resting reference feature includes the current number of resting positive leads, the current number of resting critical leads, the first target number of leads, the second target number of leads, the current target high-frequency morphology index and the current target root mean square voltage; the first target number of leads refers to the number of resting leads whose current high-frequency morphology index is greater than or equal to the first index threshold; the second target number of leads refers to the number of resting leads whose current root mean square voltage is less than or equal to the first voltage threshold; the current target high-frequency morphology index is the maximum value of the current high-frequency morphology index corresponding to each resting lead; the current target root mean square voltage is the minimum value of the current root mean square voltage corresponding to each resting lead; and determine the current overall risk assessment score based on the current resting reference feature.

在其中一个实施例中,若目标心电检测包括静息心电检测与负荷运动心电检测,则当前心电数据还包括受测者的年龄与当前运动心电信号;分析模块302,还用于对当前静息心电信号中QRS波群的高频成分进行分析得到当前高频QRS包络曲线;根据当前高频QRS包络曲线与年龄确定当前静息参考特征;当前静息参考特征包括当前静息阳性导联数量、当前静息临界导联数量、第一目标导联数量、第二目标导联数量、当前目标高频形态指数与当前目标均方根电压;第一目标导联数量是指当前高频形态指数大于或等于第一指数阈值的静息导联的数量;第二目标导联数量是指当前均方根电压小于或等于第一电压阈值的静息导联的数量;当前目标高频形态指数为各静息导联对应的当前高频形态指数中的最大值;当前目标均方根电压为各静息导联对应的当前均方根电压中的最小值;对当前运动心电信号中QRS波群的高频成分进行分析得到当前高频QRS波形曲线;根据当前运动心电信号确定受测者的当前最大心率;根据当前高频QRS波形曲线、年龄与当前最大心率确定当前运动参考特征;当前运动参考特征包括当前运动阳性导联数量、当前运动临界导联数量、第三目标导联数量、第四目标导联数量、第五目标导联数量,以及各运动导联对应的第一振幅下降相对值与第二振幅下降相对值;第三目标导联数量是指相应第一振幅下降相对值大于或等于第一相对值阈值的运动导联的数量;第四目标导联数量是指相应当前高频QRS波形曲线在第一时间段内呈下降与上升反复波动趋势的运动导联的数量;第五目标导联数量是指相应第二振幅下降相对值大于或等于第二相对值阈值的运动导联的数量;根据当前静息参考特征与当前运动参考特征确定当前整体风险评估分数。In one of the embodiments, if the target ECG detection includes resting ECG detection and load exercise ECG detection, the current ECG data also includes the age of the subject and the current exercise ECG signal; the analysis module 302 is also used to analyze the high-frequency components of the QRS wave group in the current resting ECG signal to obtain the current high-frequency QRS envelope curve; determine the current rest reference feature according to the current high-frequency QRS envelope curve and age; the current rest reference feature includes the current number of resting positive leads, the current number of resting critical leads, the first target number of leads, the second target number of leads, the current target high-frequency morphology index and the current target root mean square voltage; the first target number of leads refers to the number of resting leads whose current high-frequency morphology index is greater than or equal to the first index threshold; the second target number of leads refers to the number of resting leads whose current root mean square voltage is less than or equal to the first voltage threshold; the current target high-frequency morphology index is the maximum value of the current high-frequency morphology index corresponding to each resting lead; the current target root mean square voltage is the minimum value of the current root mean square voltage corresponding to each resting lead; for the current The high-frequency components of the QRS wave group in the pre-exercise ECG signal are analyzed to obtain the current high-frequency QRS waveform curve; the current maximum heart rate of the subject is determined according to the current exercise ECG signal; the current exercise reference feature is determined according to the current high-frequency QRS waveform curve, age and the current maximum heart rate; the current exercise reference feature includes the number of current exercise positive leads, the number of current exercise critical leads, the number of third target leads, the number of fourth target leads, the number of fifth target leads, and the first amplitude decrease relative value and the second amplitude decrease relative value corresponding to each exercise lead; the number of third target leads refers to the number of exercise leads whose corresponding first amplitude decrease relative value is greater than or equal to the first relative value threshold; the number of fourth target leads refers to the number of exercise leads whose corresponding current high-frequency QRS waveform curve shows a trend of repeated decrease and increase within a first time period; the number of fifth target leads refers to the number of exercise leads whose corresponding second amplitude decrease relative value is greater than or equal to the second relative value threshold; the current overall risk assessment score is determined according to the current resting reference feature and the current exercise reference feature.

在其中一个实施例中,分析模块302,还用于根据当前静息参考特征、当前运动参考特征与当前融合参考特征确定当前整体风险评估分数;当前融合参考特征包括当前静息阳性导联数量、当前静息临界导联数量、第一目标导联数量、当前目标高频形态指数、当前运动阳性导联数量与当前运动临界导联数量,以及各运动导联对应的第二振幅下降相对值。In one embodiment, the analysis module 302 is also used to determine the current overall risk assessment score based on the current resting reference feature, the current motion reference feature and the current fusion reference feature; the current fusion reference feature includes the current number of resting positive leads, the current number of resting critical leads, the number of first target leads, the current target high-frequency morphology index, the current number of motion positive leads and the current number of motion critical leads, and the relative value of the second amplitude decrease corresponding to each motion lead.

在其中一个实施例中,评估模块303,还用于根据当前整体风险评估分数与历史整体风险评估分数确定整体风险变化指标;根据当前整体风险评估分数、自律神经支配评估分数与心功能评估分数确定目标风险评估等级。In one embodiment, the evaluation module 303 is also used to determine the overall risk change index based on the current overall risk assessment score and the historical overall risk assessment score; determine the target risk assessment level based on the current overall risk assessment score, the autonomic nervous system innervation assessment score and the cardiac function assessment score.

关于心电数据分析装置的具体限定可以参见上文中对于心电数据分析方法的限定,在此不再赘述。上述心电数据分析装置中的各个模块可全部或部分通过软件、硬件及其组合来实现。上述各模块可以硬件形式内嵌于或独立于计算机设备中的处理器中,也可以以软件形式存储于计算机设备中的存储器中,以便于处理器调用执行以上各个模块对应的操作。For the specific definition of the ECG data analysis device, please refer to the definition of the ECG data analysis method above, which will not be repeated here. Each module in the above-mentioned ECG data analysis device can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

在其中一个实施例中,提供了一种计算机设备,该计算机设备可以是服务器,其内部结构图可以如图4所示。该计算机设备包括通过系统总线连接的处理器、存储器和网络接口。该计算机设备的处理器用于提供计算和控制能力。该计算机设备的存储器包括非易失性存储介质、内存储器。该非易失性存储介质存储有操作系统、计算机可读指令和数据库。该内存储器为非易失性存储介质中的操作系统和计算机可读指令的运行提供环境。该计算机设备的数据库用于存储第一阶段的当前心电数据,以及第二阶段的历史整体风险评估分数,还可用于存储第二阶段的历史心电数据。该计算机设备的网络接口用于与外部的终端通过网络连接通信。该计算机可读指令被处理器执行时以实现一种心电数据分析方法。In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in FIG4. The computer device includes a processor, a memory, and a network interface connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer-readable instruction, and a database. The internal memory provides an environment for the operation of the operating system and the computer-readable instructions in the non-volatile storage medium. The database of the computer device is used to store the current ECG data of the first stage, and the historical overall risk assessment score of the second stage, and can also be used to store the historical ECG data of the second stage. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer-readable instruction is executed by the processor, an ECG data analysis method is implemented.

本领域技术人员可以理解,图4中示出的结构,仅仅是与本申请方案相关的部分结构的框图,并不构成对本申请方案所应用于其上的计算机设备的限定,具体的计算机设备可以包括比图中所示更多或更少的部件,或者组合某些部件,或者具有不同的部件布置。Those skilled in the art will understand that the structure shown in FIG. 4 is merely a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

在其中一个实施例中,还提供了一种计算机设备,包括存储器和处理器,存储器中存储有计算机可读指令,该处理器执行计算机可读指令时实现本申请任意一个实施例中提供的心电数据分析方法的步骤。In one of the embodiments, a computer device is also provided, including a memory and a processor, wherein the memory stores computer-readable instructions, and when the processor executes the computer-readable instructions, the steps of the electrocardiogram data analysis method provided in any embodiment of the present application are implemented.

在其中一个实施例中,提供了一种计算机可读存储介质,其上存储有计算机可读指令,该计算机可读指令被处理器执行时实现本申请任意一个实施例中提供的心电数据分析方法的步骤。In one of the embodiments, a computer-readable storage medium is provided, on which computer-readable instructions are stored. When the computer-readable instructions are executed by a processor, the steps of the electrocardiogram data analysis method provided in any embodiment of the present application are implemented.

本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程,是可以通过计算机可读指令来指令相关的硬件来完成,的计算机可读指令可存储于一非易失性计算机可读取存储介质中,该计算机可读指令在执行时,可包括如上述各方法的实施例的流程。本申请所提供的各实施例中所使用的对存储器、存储、数据库或其它介质的任何引用,均可包括非易失性和易失性存储器中的至少一种。非易失性存储器可包括只读存储器(Read-Only Memory,ROM)、磁带、软盘、闪存或光存储器等。易失性存储器可包括随机存取存储器(Random Access Memory,RAM)或外部高速缓冲存储器。作为说明而非局限,RAM可以是多种形式,比如静态随机存取存储器(Static Random Access Memory,SRAM)或动态随机存取存储器(Dynamic Random Access Memory,DRAM)等。A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through computer-readable instructions, and the computer-readable instructions can be stored in a non-volatile computer-readable storage medium. When the computer-readable instructions are executed, they can include the processes of the embodiments of the above-mentioned methods. Any reference to memory, storage, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

以上实施例的各技术特征可以进行任意的组合,为使描述简洁,未对上述实施例中的各个技术特征所有可能的组合都进行描述,然而,只要这些技术特征的组合不存在矛盾,都应当认为是本说明书记载的范围。The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

以上实施例仅表达了本申请的几种实施方式,其描述较为具体和详细,但并不能因此而理解为对发明专利范围的限制。应当指出的是,对于本领域的普通技术人员来说,在不脱离本申请构思的前提下,还可以做出若干变形和改进,这些都属于本申请的保护范围。因此,本申请专利的保护范围应以所附权利要求为准。The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims (10)

一种心电数据分析方法,其特征在于,所述方法包括:A method for analyzing electrocardiogram data, characterized in that the method comprises: 获取在第一阶段对应于目标心电检测采集的当前心电数据;所述当前心电数据至少包括当前静息心电信号;Acquire the current ECG data collected corresponding to the target ECG detection in the first stage; the current ECG data at least includes the current resting ECG signal; 按照所述目标心电检测对所述当前心电数据中QRS波群的高频成分进行分析得到当前整体风险评估分数;Analyzing the high frequency components of the QRS complex in the current ECG data according to the target ECG detection to obtain a current overall risk assessment score; 对所述当前静息心电信号进行分析得到自律神经支配评估分数与心功能评估分数;Analyzing the current resting ECG signal to obtain an autonomic nerve control assessment score and a cardiac function assessment score; 获取受测者在第二阶段对应的历史整体风险评估分数;所述历史整体风险评估分数由所述目标心电检测对应的历史心电数据确定;Obtaining the subject's historical overall risk assessment score corresponding to the second stage; the historical overall risk assessment score is determined by the historical ECG data corresponding to the target ECG detection; 根据所述当前整体风险评估分数、所述历史整体风险评估分数、所述自律神经支配评估分数与心功能评估分数确定康复指导参考指标;所述康复指导参考指标包括整体风险变化指标与目标风险评估等级;Determine a rehabilitation guidance reference index according to the current overall risk assessment score, the historical overall risk assessment score, the autonomic nerve control assessment score and the cardiac function assessment score; the rehabilitation guidance reference index includes an overall risk change index and a target risk assessment level; 对所述当前静息心电信号进行分析得到自律神经支配评估分数,包括:The current resting ECG signal is analyzed to obtain an autonomic nerve control assessment score, including: 对所述当前静息心电信号中QRS波群的高频成分进行分析得到当前高频QRS包络曲线;Analyzing the high-frequency components of the QRS complex in the current resting electrocardiogram signal to obtain a current high-frequency QRS envelope curve; 根据所述当前高频QRS包络曲线确定自律神经支配评估指标;所述自律神经支配评估指标包括肢体导联平均电压与胸导联平均电压;Determining an autonomic nerve control evaluation index according to the current high-frequency QRS envelope curve; the autonomic nerve control evaluation index includes an average voltage of limb leads and an average voltage of chest leads; 根据所述肢体导联平均电压与所述胸导联平均电压的比值确定自律神经支配评估分数;Determining an autonomic nerve control assessment score according to the ratio of the average voltage of the limb leads to the average voltage of the chest leads; 所述根据所述当前整体风险评估分数、所述历史整体风险评估分数、所述自律神经支配评估分数与心功能评估分数确定康复指导参考指标,包括:The determining of the rehabilitation guidance reference index according to the current overall risk assessment score, the historical overall risk assessment score, the autonomic nerve control assessment score and the cardiac function assessment score comprises: 根据所述当前整体风险评估分数与所述历史整体风险评估分数确定整体风险变化指标;Determining an overall risk change indicator based on the current overall risk assessment score and the historical overall risk assessment score; 根据所述当前整体风险评估分数、所述自律神经支配评估分数与心功能评估分数确定目标风险评估等级。A target risk assessment level is determined according to the current overall risk assessment score, the autonomic nerve innervation assessment score and the cardiac function assessment score. 根据权利要求1所述的方法,其特征在于,对所述当前静息心电信号进行分析得到心功能评估分数,包括:The method according to claim 1, characterized in that analyzing the current resting ECG signal to obtain a cardiac function assessment score comprises: 根据所述当前高频QRS包络曲线确定心功能评估指标;Determining a cardiac function evaluation index according to the current high-frequency QRS envelope curve; 根据所述心功能评估指标确定心功能评估分数。A cardiac function assessment score is determined according to the cardiac function assessment index. 根据权利要求2所述的方法,其特征在于,所述心功能评估指标包括QRS时限与各静息导联对应的当前高频形态指数;所述根据所述心功能评估指标确定心功能评估分数,包括:The method according to claim 2, characterized in that the cardiac function assessment index includes the QRS duration and the current high-frequency morphology index corresponding to each resting lead; and determining the cardiac function assessment score according to the cardiac function assessment index includes: 根据所述QRS时限确定系数,根据所述当前高频形态指数确定相应静息导联的分值;Determine the coefficient according to the QRS duration and the score of the corresponding rest lead according to the current high frequency morphology index; 根据各所述分值的和值与所述系数的乘积确定心功能评估分数。The cardiac function assessment score is determined according to the product of the sum of the scores and the coefficient. 根据权利要求3所述的方法,其特征在于,所述心功能评估指标还包括当前静息阳性导联数量与心律失常评估指标中的至少一项;所述根据各所述分值的和值与所述系数的乘积确定心功能评估分数,包括:The method according to claim 3 is characterized in that the cardiac function assessment index also includes at least one of the current number of resting positive leads and the arrhythmia assessment index; and determining the cardiac function assessment score according to the product of the sum of the scores and the coefficient comprises: 根据各所述分值的和值与所述系数的乘积确定第一心功能评估子分数;Determine a first cardiac function assessment sub-score according to the product of the sum of the scores and the coefficient; 根据第二心功能评估子分数与第三心功能评估子分数中的至少一项,以及所述第一心功能评估子分数确定心功能评估子分数;所述第二心功能评估子分数由所述当前静息阳性导联数量确定;所述第三心功能评估子分数由所述心律失常评估指标确定。The cardiac function assessment subscore is determined according to at least one of the second cardiac function assessment subscore and the third cardiac function assessment subscore, and the first cardiac function assessment subscore; the second cardiac function assessment subscore is determined by the current number of resting positive leads; and the third cardiac function assessment subscore is determined by the arrhythmia assessment index. 根据权利要求1所述的方法,其特征在于,若目标心电检测包括静息心电检测,则所述当前心电数据还包括所述受测者的年龄;所述按照所述目标心电检测对所述当前心电数据中QRS波群的高频成分进行分析得到当前整体风险评估分数,包括:The method according to claim 1, characterized in that if the target ECG detection includes a resting ECG detection, the current ECG data also includes the age of the subject; and the step of analyzing the high-frequency components of the QRS complex in the current ECG data according to the target ECG detection to obtain the current overall risk assessment score comprises: 对所述当前静息心电信号中QRS波群的高频成分进行分析得到当前高频QRS包络曲线;Analyzing the high-frequency components of the QRS complex in the current resting electrocardiogram signal to obtain a current high-frequency QRS envelope curve; 根据所述当前高频QRS包络曲线与所述年龄确定当前静息参考特征;所述当前静息参考特征包括当前静息阳性导联数量、当前静息临界导联数量、第一目标导联数量、第二目标导联数量、当前目标高频形态指数与当前目标均方根电压;所述第一目标导联数量是指当前高频形态指数大于或等于第一指数阈值的静息导联的数量;所述第二目标导联数量是指当前均方根电压小于或等于第一电压阈值的静息导联的数量;所述当前目标高频形态指数为各静息导联对应的当前高频形态指数中的最大值;所述当前目标均方根电压为各静息导联对应的当前均方根电压中的最小值;The current resting reference feature is determined according to the current high-frequency QRS envelope curve and the age; the current resting reference feature includes the current number of resting positive leads, the current number of resting critical leads, the first target number of leads, the second target number of leads, the current target high-frequency morphology index and the current target root mean square voltage; the first target number of leads refers to the number of resting leads whose current high-frequency morphology index is greater than or equal to the first index threshold; the second target number of leads refers to the number of resting leads whose current root mean square voltage is less than or equal to the first voltage threshold; the current target high-frequency morphology index is the maximum value of the current high-frequency morphology indexes corresponding to each resting lead; the current target root mean square voltage is the minimum value of the current root mean square voltages corresponding to each resting lead; 根据所述当前静息参考特征确定当前整体风险评估分数。A current overall risk assessment score is determined based on the current resting reference signature. 根据权利要求1所述的方法,其特征在于,若目标心电检测包括静息心电检测与负荷运动心电检测,则所述当前心电数据还包括所述受测者的年龄与当前运动心电信号;所述按照所述目标心电检测对所述当前心电数据中QRS波群的高频成分进行分析得到当前整体风险评估分数,包括:The method according to claim 1 is characterized in that if the target ECG detection includes a resting ECG detection and a load exercise ECG detection, the current ECG data also includes the age of the subject and the current exercise ECG signal; the analyzing the high-frequency components of the QRS complex in the current ECG data according to the target ECG detection to obtain the current overall risk assessment score includes: 对所述当前静息心电信号中QRS波群的高频成分进行分析得到当前高频QRS包络曲线;Analyzing the high-frequency components of the QRS complex in the current resting electrocardiogram signal to obtain a current high-frequency QRS envelope curve; 根据所述当前高频QRS包络曲线与所述年龄确定当前静息参考特征;所述当前静息参考特征包括当前静息阳性导联数量、当前静息临界导联数量、第一目标导联数量、第二目标导联数量、当前目标高频形态指数与当前目标均方根电压;所述第一目标导联数量是指当前高频形态指数大于或等于第一指数阈值的静息导联的数量;所述第二目标导联数量是指当前均方根电压小于或等于第一电压阈值的静息导联的数量;所述当前目标高频形态指数为各静息导联对应的当前高频形态指数中的最大值;所述当前目标均方根电压为各静息导联对应的当前均方根电压中的最小值;The current resting reference feature is determined according to the current high-frequency QRS envelope curve and the age; the current resting reference feature includes the current number of resting positive leads, the current number of resting critical leads, the first target number of leads, the second target number of leads, the current target high-frequency morphology index and the current target root mean square voltage; the first target number of leads refers to the number of resting leads whose current high-frequency morphology index is greater than or equal to the first index threshold; the second target number of leads refers to the number of resting leads whose current root mean square voltage is less than or equal to the first voltage threshold; the current target high-frequency morphology index is the maximum value of the current high-frequency morphology indexes corresponding to each resting lead; the current target root mean square voltage is the minimum value of the current root mean square voltages corresponding to each resting lead; 对所述当前运动心电信号中QRS波群的高频成分进行分析得到当前高频QRS波形曲线;Analyze the high-frequency components of the QRS complex in the current exercise electrocardiogram signal to obtain a current high-frequency QRS waveform curve; 根据所述当前运动心电信号确定所述受测者的当前最大心率;Determine the current maximum heart rate of the subject according to the current exercise electrocardiogram signal; 根据所述当前高频QRS波形曲线、所述年龄与所述当前最大心率确定当前运动参考特征;所述当前运动参考特征包括当前运动阳性导联数量、当前运动临界导联数量、第三目标导联数量、第四目标导联数量、第五目标导联数量,以及各运动导联对应的第一振幅下降相对值与第二振幅下降相对值;所述第三目标导联数量是指相应第一振幅下降相对值大于或等于第一相对值阈值的运动导联的数量;所述第四目标导联数量是指相应当前高频QRS波形曲线在第一时间段内呈下降与上升反复波动趋势的运动导联的数量;所述第五目标导联数量是指相应第二振幅下降相对值大于或等于第二相对值阈值的运动导联的数量;The current motion reference feature is determined according to the current high-frequency QRS waveform curve, the age and the current maximum heart rate; the current motion reference feature includes the number of current motion positive leads, the number of current motion critical leads, the number of third target leads, the number of fourth target leads, the number of fifth target leads, and the first amplitude decrease relative value and the second amplitude decrease relative value corresponding to each motion lead; the third target lead number refers to the number of motion leads whose corresponding first amplitude decrease relative value is greater than or equal to the first relative value threshold; the fourth target lead number refers to the number of motion leads whose corresponding current high-frequency QRS waveform curve shows a trend of repeated decrease and increase within a first time period; the fifth target lead number refers to the number of motion leads whose corresponding second amplitude decrease relative value is greater than or equal to the second relative value threshold; 根据所述当前静息参考特征与所述当前运动参考特征确定当前整体风险评估分数。A current overall risk assessment score is determined according to the current rest reference feature and the current motion reference feature. 根据权利要求6所述的方法,其特征在于,所述根据所述当前静息参考特征与所述当前运动参考特征确定当前整体风险评估分数,包括:The method according to claim 6, characterized in that the determining the current overall risk assessment score according to the current resting reference feature and the current motion reference feature comprises: 根据所述当前静息参考特征、所述当前运动参考特征与当前融合参考特征确定当前整体风险评估分数;所述当前融合参考特征包括所述当前静息阳性导联数量、所述当前静息临界导联数量、所述第一目标导联数量、所述当前目标高频形态指数、所述当前运动阳性导联数量与所述当前运动临界导联数量,以及各运动导联对应的第二振幅下降相对值。The current overall risk assessment score is determined according to the current resting reference feature, the current motion reference feature and the current fusion reference feature; the current fusion reference feature includes the current number of resting positive leads, the current number of resting critical leads, the first number of target leads, the current target high-frequency morphology index, the current number of motion positive leads and the current number of motion critical leads, and the relative value of the second amplitude decrease corresponding to each motion lead. 一种心电数据分析装置,其特征在于,所述装置包括:An electrocardiogram data analysis device, characterized in that the device comprises: 获取模块,用于获取在第一阶段对应于目标心电检测采集的当前心电数据;所述当前心电数据至少包括当前静息心电信号;An acquisition module, used to acquire current ECG data collected corresponding to the target ECG detection in the first stage; the current ECG data at least includes a current resting ECG signal; 分析模块,用于按照所述目标心电检测对所述当前心电数据中QRS波群的高频成分进行分析得到当前整体风险评估分数;An analysis module, configured to analyze the high frequency components of the QRS complex in the current ECG data according to the target ECG detection to obtain a current overall risk assessment score; 所述分析模块,还用于对所述当前静息心电信号进行分析得到自律神经支配评估分数与心功能评估分数;The analysis module is further used to analyze the current resting ECG signal to obtain an autonomic nerve control assessment score and a cardiac function assessment score; 所述获取模块,还用于获取受测者在第二阶段对应的历史整体风险评估分数;所述历史整体风险评估分数由所述目标心电检测对应的历史心电数据确定;The acquisition module is further used to acquire the historical overall risk assessment score of the subject corresponding to the second stage; the historical overall risk assessment score is determined by the historical ECG data corresponding to the target ECG detection; 评估模块,用于根据所述当前整体风险评估分数、所述历史整体风险评估分数、所述自律神经支配评估分数与心功能评估分数确定康复指导参考指标;所述康复指导参考指标包括整体风险变化指标与目标风险评估等级;An evaluation module, used to determine a rehabilitation guidance reference index according to the current overall risk assessment score, the historical overall risk assessment score, the autonomic nerve control assessment score and the cardiac function assessment score; the rehabilitation guidance reference index includes an overall risk change index and a target risk assessment level; 所述分析模块,还用于对所述当前静息心电信号中QRS波群的高频成分进行分析得到当前高频QRS包络曲线;根据所述当前高频QRS包络曲线确定自律神经支配评估指标;所述自律神经支配评估指标包括肢体导联平均电压与胸导联平均电压;根据所述肢体导联平均电压与所述胸导联平均电压的比值确定自律神经支配评估分数;The analysis module is further used to analyze the high-frequency components of the QRS complex in the current resting ECG signal to obtain a current high-frequency QRS envelope curve; determine an autonomic nerve dominance evaluation index according to the current high-frequency QRS envelope curve; the autonomic nerve dominance evaluation index includes an average voltage of limb leads and an average voltage of chest leads; and determine an autonomic nerve dominance evaluation score according to a ratio of the average voltage of limb leads to the average voltage of chest leads; 所述评估模块,还用于根据所述当前整体风险评估分数与所述历史整体风险评估分数确定整体风险变化指标;根据所述当前整体风险评估分数、所述自律神经支配评估分数与心功能评估分数确定目标风险评估等级。The assessment module is also used to determine the overall risk change index based on the current overall risk assessment score and the historical overall risk assessment score; and determine the target risk assessment level based on the current overall risk assessment score, the autonomic nerve control assessment score and the cardiac function assessment score. 一种计算机设备,包括存储器和处理器,所述存储器存储有计算机可读指令,其特征在于,所述处理器执行所述计算机可读指令时实现权利要求1至7中任一项所述的方法的步骤。A computer device comprises a memory and a processor, wherein the memory stores computer-readable instructions, and wherein the processor implements the steps of the method according to any one of claims 1 to 7 when executing the computer-readable instructions. 一种计算机可读存储介质,其上存储有计算机可读指令,其特征在于,所述计算机可读指令被处理器执行时实现权利要求1至7中任一项所述的方法的步骤。A computer-readable storage medium having computer-readable instructions stored thereon, characterized in that when the computer-readable instructions are executed by a processor, the steps of the method described in any one of claims 1 to 7 are implemented.
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Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116725549B (en) * 2023-08-14 2023-11-24 毕胜普生物科技有限公司 ECG data analysis method, device, computer equipment and storage medium

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2010149862A (en) * 2010-12-03 2012-06-10 Виктор Иванович Рузов (RU) METHOD FOR FORECASTING AND STRATIFICATION OF RISK OF RISK OF VENTRICULAR DISORDERS OF HEART RHYTHM IN PATIENTS WITH ARTERIAL HYPERTENSION
US20180125385A1 (en) * 2015-05-20 2018-05-10 University Health Network Method and system for assessing qrs components and the risk of ventricular arrhythmias
CN110827994A (en) * 2020-01-13 2020-02-21 四川大学华西医院 Myocardial infarction early warning method, device and equipment and storage medium
CN113712569A (en) * 2021-11-01 2021-11-30 毕胜普生物科技有限公司 High-frequency QRS wave group data analysis method and device
CN115581465A (en) * 2022-11-21 2023-01-10 毕胜普生物科技有限公司 Coronary heart disease risk assessment method and device, and sudden cardiac death risk assessment method and system
CN115602329A (en) * 2022-11-21 2023-01-13 毕胜普生物科技有限公司(Cn) Electrocardiosignal processing method and device and related equipment
CN116196013A (en) * 2023-04-25 2023-06-02 毕胜普生物科技有限公司 Electrocardiogram data processing method, device, computer equipment and storage medium
CN116725549A (en) * 2023-08-14 2023-09-12 毕胜普生物科技有限公司 Electrocardiogram data analysis method, apparatus, computer device and storage medium

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8676303B2 (en) * 2008-05-13 2014-03-18 The Regents Of The University Of California Methods and systems for treating heart instability
CN103892812B (en) * 2014-02-24 2016-02-10 南京丰生永康软件科技有限责任公司 Matching degree analytical technology
WO2016077786A1 (en) * 2014-11-14 2016-05-19 Zoll Medical Corporation Medical premonitory event estimation
CN110782992B (en) * 2019-10-31 2023-05-30 刘润桑 Rehabilitation effect quantitative evaluation intelligent implementation method and system based on electrocardiosignal
CN115512834A (en) * 2022-08-22 2022-12-23 上海市同济医院 Exercise rehabilitation evaluation system suitable for heart failure patients

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2010149862A (en) * 2010-12-03 2012-06-10 Виктор Иванович Рузов (RU) METHOD FOR FORECASTING AND STRATIFICATION OF RISK OF RISK OF VENTRICULAR DISORDERS OF HEART RHYTHM IN PATIENTS WITH ARTERIAL HYPERTENSION
US20180125385A1 (en) * 2015-05-20 2018-05-10 University Health Network Method and system for assessing qrs components and the risk of ventricular arrhythmias
CN110827994A (en) * 2020-01-13 2020-02-21 四川大学华西医院 Myocardial infarction early warning method, device and equipment and storage medium
CN113712569A (en) * 2021-11-01 2021-11-30 毕胜普生物科技有限公司 High-frequency QRS wave group data analysis method and device
CN115581465A (en) * 2022-11-21 2023-01-10 毕胜普生物科技有限公司 Coronary heart disease risk assessment method and device, and sudden cardiac death risk assessment method and system
CN115602329A (en) * 2022-11-21 2023-01-13 毕胜普生物科技有限公司(Cn) Electrocardiosignal processing method and device and related equipment
CN116196013A (en) * 2023-04-25 2023-06-02 毕胜普生物科技有限公司 Electrocardiogram data processing method, device, computer equipment and storage medium
CN116725549A (en) * 2023-08-14 2023-09-12 毕胜普生物科技有限公司 Electrocardiogram data analysis method, apparatus, computer device and storage medium

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