CN118430789A - Application method of myocardial ischemia model in plateau heart patient - Google Patents
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Abstract
The invention discloses an application method of a myocardial ischemia model in a plateau heart patient, which relates to the technical field of application of medical models, and comprises the following steps: s1: constructing a myocardial ischemia model; s2: inputting basic information of a user; s3: the data background analyzes the data through an AI technology and judges whether a user can enter a plateau; s4: and (5) evaluating satisfaction degree of the plateau heart patients and family members. According to the invention, the basic information of the user is automatically analyzed through the AI technology, the body of the user can be rapidly analyzed from the aspects of ECG, blood pressure, heart rate, pulse, heart color Doppler ultrasound, heart nuclear magnetic resonance and the like, and the problem of controlling the body of the user can be solved in real time, so that whether the user can enter a plateau is judged, different suggestions are provided for different patients, the safety of the user entering the plateau is ensured, and the phenomenon that the plateau heart patients enter the plateau to cause myocardial ischemia is reduced.
Description
Technical Field
The invention relates to the technical field of medical model application, in particular to an application method of a myocardial ischemia model in a plateau heart patient.
Background
People can detect body data before entering a plateau, ensure that the people can safely enter the plateau, and ensure the safety of activities in the plateau area. Myocardial ischemia is a common cardiovascular disease, seriously threatens the life health of people, and takes an Electrocardiogram (ECG) as a body surface record of heart electric activity, contains rich physiological and pathological information, and is the first method adopted and the most basic method in the clinical detection of myocardial ischemia at present. Myocardial ischemia is a recessive seizure disorder, i.e., patients are unaware of the myocardial ischemia type of disease before the seizure, resulting in very high mortality rates of myocardial ischemia. Myocardial ischemia, however, typically occurs in the plateau heart population, and therefore, early discovery, early treatment, and early intervention are the most effective methods for reducing mortality due to myocardial ischemia in plateau heart patients. There is therefore a great need for an application method for applying myocardial ischemia models in plateau heart patients.
For example, chinese patent publication No. CN110192853A discloses an electrocardiographic anomaly evaluation method based on an electrocardiographic entropy value graph, wherein three entropy value features of approximate entropy, sample entropy and fuzzy entropy are combined with a support vector machine, and the difference of entropy value features between electrocardiographic modes of an abnormal electrocardiographic individual and a normal electrocardiographic individual is utilized to realize electrocardiographic classification and anomaly evaluation classification results; the critical range of the normal control group and the abnormal electrocardio patient is visually presented in the form of an entropy value characteristic distribution diagram, and a clinician can visually observe the specific size of the characteristic value through the electrocardio entropy value diagram to approximately estimate the electrocardio condition of the patient. If the multiple indices of the electrical entropy map are all outside a given critical range, this indicates that there is a high risk or degree of illness in the subject, requiring close attention to the individual itself and further examination by the physician.
The following problems exist in the prior art:
The variation of the amplitude and the phase of the T wave or the ST segment of the electrocardiogram caused by myocardial ischemia along with the heart cycle is of a microvolt level, and is not easy to observe by naked eyes, and the electrocardio abnormality assessment method does not clearly detect what type of electrocardio abnormality, only can perform preliminary electrocardio abnormality judgment, so that the sensitivity and the accuracy are low, and the problem that accurate and sensitive identification of myocardial ischemia cannot be solved is solved, wherein the incidence rate of myocardial ischemia diseases in plateau heart groups is high, the patients with the myocardial ischemia diseases in the plateau heart groups are inconvenient to enter, the plateau heart diseases can be completely recovered after active treatment, so that the plateau can be entered, but different suggestions cannot be provided for different patients in the treatment process, so that a myocardial ischemia model cannot be well applied to the plateau heart patients, and the safety of the user entering the plateau cannot be ensured.
Disclosure of Invention
The invention provides an application method of a myocardial ischemia model in a plateau heart patient, which aims to solve the problems in the background technology.
In order to solve the technical problems, the invention adopts the following technical scheme:
A method of using a myocardial ischemia model in a plateau cardiac patient, the method of using a myocardial ischemia model in a plateau cardiac patient comprising the steps of:
s1: constructing a myocardial ischemia model;
S2: inputting basic information of a user;
S3: the data background analyzes the data through an AI technology and judges whether a user can enter a plateau;
S4: and (5) evaluating satisfaction degree of the plateau heart patients and family members.
Preferably, the step S1 includes the steps of:
S11: constructing a plateau heart disease screening system;
S12: constructing a myocardial ischemia model workflow and a myocardial ischemia model working procedure;
s13: and establishing a myocardial ischemia model work effect evaluation system.
Preferably, the construction method of the myocardial ischemia model comprises the following steps: collecting ECG, blood pressure, heart rate, pulse, heart color Doppler ultrasound and heart nuclear magnetic resonance of healthy people and myocardial ischemia patients, processing the ECG, blood pressure, heart rate, pulse, heart color Doppler ultrasound and heart nuclear magnetic resonance as training sets, inputting the training sets of ECG, blood pressure, heart rate, pulse, heart color Doppler ultrasound and heart nuclear magnetic resonance into a support vector machine model for training to obtain a myocardial ischemia model,
The processing of the ECG includes: calculating sample entropy of an ECG lead ST-T section, converting a 12-lead ECG signal into a three-lead VCG signal, calculating a spatial characteristic value and a temporal characteristic value by using Lyapunov indexes, taking the sample entropy of the ECG lead ST-T section, the temporal characteristic value TFV of the three-lead VCG and the spatial characteristic value SFV of the three-lead VCG as ECG training sets, inputting the ECG training sets into a support vector machine model for training to obtain a myocardial ischemia model, and selecting the optimal electrocardiogram characteristic reflecting myocardial ischemia by using a grid search method when the model is built.
Preferably, the basic information of the user comprises ECG, blood pressure, heart rate, pulse, heart color Doppler ultrasound and heart nuclear magnetic resonance, and the data analysis comprises key index analysis and important index analysis, wherein the key index and the important index are invariable index and variable index.
Preferably, the step S3 includes the steps of:
S31: analyzing key indexes, if the key indexes are unqualified, the user cannot enter the plateau, and if the key indexes are qualified, S32 is executed;
S32: and (3) analyzing the important indexes, wherein if all the important indexes are qualified, a user can enter a plateau, and if part of the important indexes are abnormal, S33 is executed.
Preferably, the step S3 further includes the steps of:
S33: analyzing the danger rate of altitude reaction;
s34: a viable solution is proposed;
S35: executing by a user;
s36: and returning to S2.
Preferably, the solution comprises: reducing the occurrence rate of electrocardiographic anomalies, reducing the occurrence rate of blood pressure anomalies, reducing the occurrence rate of physical discomfort in the plateau region, reducing the occurrence rate of abnormal change of hemoglobin, reducing the occurrence rate of single-sided or double-sided affected areas of the left and right ventricles of a patient, reducing the occurrence rate of polycythemia symptoms in the plateau region, and reducing the occurrence rate of altitude heart diseases of personnel entering the plateau region.
By adopting the technical scheme, compared with the prior art, the invention has the following technical progress:
1. The invention provides an application method of a myocardial ischemia model in a plateau heart patient, which is convenient for screening the plateau heart patient by constructing a plateau heart disease screening system to screen the user entering the plateau, reduces the phenomenon that the plateau heart patient enters the plateau to cause myocardial ischemia, and reduces the incidence rate of the plateau heart patient entering the plateau crowd.
2. The invention provides an application method of a myocardial ischemia model in a plateau heart patient, which detects weak variation conditions of ST-T section random beats induced by myocardial ischemia from two dimensions of time and space, is used for solving the problem that accurate and sensitive identification of myocardial ischemia cannot be realized due to unobvious ST section or T wave characteristics related to myocardial ischemia detected by a conventional 12-lead electrocardiogram, improving sensitivity and accuracy of myocardial ischemia diagnosis, timely finding acute myocardial ischemia events, especially asymptomatic myocardial ischemia events, providing reliable basis for clinical timely diagnosis and treatment, selecting optimal electrocardiogram characteristics reflecting myocardial ischemia by using a grid search method, determining which myocardial ischemia type causes the myocardial ischemia, and simplifying calculation amount.
3. The invention provides an application method of a myocardial ischemia model in a plateau heart patient, which automatically analyzes basic information of a user through an AI technology, can rapidly analyze the body of the user from aspects such as ECG (electronic pulse System), blood pressure, heart rate, pulse, heart color Doppler ultrasound, heart nuclear magnetic resonance and the like, and can real-timely judge where the body of the user is problematic, so as to judge whether the user can enter the plateau, provide different suggestions for different patients, ensure the safety of the user entering the plateau, reduce the phenomenon of myocardial ischemia of the plateau heart patient entering the plateau, analyze the risk of altitude reaction and provide a feasible solution when part of indexes of important indexes of the user are abnormal, acquire the body data of the user after the user performs the analysis, judge whether the body of the user can enter the plateau, ensure the relatively safe activity of the plateau of the user, and improve the trip safety of the patient with high heart disease, so that the myocardial ischemia model is well applied to the plateau heart patient.
Drawings
FIG. 1 is a flow chart of a method of using the myocardial ischemia model of the present invention in a plateau cardiac patient;
FIG. 2 is a flow chart of the myocardial ischemia model construction of the present invention;
FIG. 3 is a graph of reduced electrocardiographic anomaly occurrence probability analysis according to the present invention;
FIG. 4 is a graph of the feasibility of reducing the incidence of hypertension according to the invention;
FIG. 5 is a graph of the reduced incidence of physical discomfort in plateau areas for the present invention;
FIG. 6 is a graph of a reduced-plateau hemoglobin anomaly occurrence probability analysis according to the present invention;
FIG. 7 is a graph of a reduced incidence of elevated cardiac involvement feasibility analysis according to the invention;
FIG. 8 is a graph of a reduced incidence of altitude erythrocytosis feasibility analysis of the present invention.
Detailed Description
The invention is further described in connection with the following detailed description, in order to make the technical means, the creation characteristics, the achievement of the purpose and the effect of the invention easy to understand.
As shown in fig. 1, a method for applying a myocardial ischemia meta-model to a plateau heart patient, the method for applying a myocardial ischemia meta-model to a plateau heart patient includes the steps of:
s1: constructing a myocardial ischemia model;
S2: inputting basic information of a user;
S3: the data background analyzes the data through an AI technology and judges whether a user can enter a plateau;
S4: and (5) evaluating satisfaction degree of the plateau heart patients and family members.
The data background can rapidly analyze data through an AI technology, and the phenomenon that a plateau heart patient enters a plateau to cause myocardial ischemia is reduced.
As shown in fig. 2, S1 includes the steps of:
S11: constructing a plateau heart disease screening system;
S12: constructing a myocardial ischemia model workflow and a myocardial ischemia model working procedure;
s13: and establishing a myocardial ischemia model work effect evaluation system.
By constructing the plateau heart disease screening system, the plateau heart patients can be conveniently screened, the phenomenon that myocardial ischemia occurs when the plateau heart patients enter the plateau is reduced, and the incidence rate of the plateau heart patients entering the plateau crowd is reduced.
The construction method of the myocardial ischemia model comprises the following steps: collecting ECG, blood pressure, heart rate, pulse, heart color Doppler ultrasound and heart nuclear magnetic resonance of healthy people and myocardial ischemia patients, processing the ECG, blood pressure, heart rate, pulse, heart color Doppler ultrasound and heart nuclear magnetic resonance as training sets, inputting the training sets of ECG, blood pressure, heart rate, pulse, heart color Doppler ultrasound and heart nuclear magnetic resonance into a support vector machine model for training to obtain a myocardial ischemia model,
The processing of the ECG includes: calculating sample entropy of an ECG lead ST-T section, converting a 12-lead ECG signal into a three-lead VCG signal, calculating a spatial characteristic value and a temporal characteristic value by using Lyapunov indexes, taking the sample entropy of the ECG lead ST-T section, the temporal characteristic value TFV of the three-lead VCG and the spatial characteristic value SFV of the three-lead VCG as ECG training sets, inputting the ECG training sets into a support vector machine model for training to obtain a myocardial ischemia model, and selecting the optimal electrocardiogram characteristic reflecting myocardial ischemia by using a grid search method when the model is built.
The weak change condition of ST-T section along with heart beat induced by myocardial ischemia is detected from two dimensions of time and space, so that the problem that accurate and sensitive identification of myocardial ischemia cannot be solved due to the fact that conventional 12-lead electrocardiogram detection of ST section or T wave characteristics related to myocardial ischemia is not obvious is solved, the sensitivity and accuracy of myocardial ischemia diagnosis are improved, acute myocardial ischemia events, especially asymptomatic myocardial ischemia events, can be timely found, reliable basis is provided for clinical timely diagnosis and treatment, the optimal electrocardiogram characteristics reflecting myocardial ischemia are selected by using a grid search method, the electrocardiographic abnormality caused by which myocardial ischemia type is determined, and the calculation amount is simplified.
The basic information of the user comprises ECG, blood pressure, heart rate, pulse, heart color Doppler ultrasound and heart nuclear magnetic resonance, the data analysis comprises key index analysis and important index analysis, and the key index and the important index are invariable index and variable index.
As shown in fig. 1, S3 includes the steps of:
S31: analyzing key indexes, if the key indexes are unqualified, the user cannot enter the plateau, and if the key indexes are qualified, S32 is executed;
S32: and (3) analyzing the important indexes, wherein if all the important indexes are qualified, a user can enter a plateau, and if part of the important indexes are abnormal, S33 is executed.
S3, further comprising the following steps:
S33: analyzing the danger rate of altitude reaction;
s34: a viable solution is proposed;
S35: executing by a user;
s36: and returning to S2.
When the important indexes of the user are abnormal, different suggestions can be provided for different patients, so that the safety of the user entering the plateau is ensured, the plateau activity of the user is ensured to be relatively safe, and the safety of the patient with the high heart disease is improved.
The solution comprises the following steps: reducing the occurrence rate of electrocardiographic anomalies, reducing the occurrence rate of blood pressure anomalies, reducing the occurrence rate of physical discomfort in the plateau region, reducing the occurrence rate of abnormal change of hemoglobin, reducing the occurrence rate of single-sided or double-sided affected areas of the left and right ventricles of a patient, reducing the occurrence rate of polycythemia symptoms in the plateau region, and reducing the occurrence rate of altitude heart diseases of personnel entering the plateau region.
In summary, a myocardial ischemia model is built, a plateau heart disease screening system is built to screen a user entering a plateau, so that the screening of a plateau heart patient is facilitated, basic information such as ECG (electric magnetic resonance), blood pressure, heart rate, pulse, heart color Doppler ultrasound, heart nuclear magnetic resonance and the like of the user is input, a data background carries out data analysis of key indexes and important indexes through an AI (advanced technology) technology, whether the user can enter the plateau is judged according to analysis results, the phenomenon that the plateau heart patient enters the plateau to cause myocardial ischemia is reduced, when the important indexes of the user are abnormal, the risk of the plateau reaction is analyzed and a feasible solution is provided, different suggestions can be provided for different patients, the safety of the user entering the plateau is ensured, the body data of the user is acquired for analysis after the user is executed, whether the body of the user can enter the plateau is ensured, the plateau activity of the user is relatively safe, and the safety of the patient with the high heart disease is improved,
As shown in fig. 3, the occurrence rate of electrocardiographic abnormality in the plateau area is high, wherein the altitude and the time period can influence the occurrence rate of electrocardiographic abnormality,
Some research papers have pointed out that elevation has a great influence on abnormality of blood pressure, and that in the case of high elevation, incidence of high altitude hypertension is high, and at the same time, some researches have shown that the activity of the altitude controlled within 6 months is relatively safe, and most of the altitude returns to normal level by itself after the altitude returns to plain, as shown in figure 4,
Some research papers indicate that individuals living in plain areas for a long time have one or more kinds of physical discomfort with an average proportion of 50% after entering the high altitude areas, blood oxygen saturation is correspondingly reduced along with the continuous elevation, the physical discomfort is gradually relieved after oxygen is inhaled or returns to the plain areas as shown in figure 5,
The special hypoxia and low-pressure environment in the plateau region can significantly influence the normal blood level of the human body, and the conditions of the plateau and the hypoxia and the low-pressure can lead the population living in the plateau region to be in a relative hypoxia condition, as shown in figure 6, so as to cause the compensatory increase of erythrocytes and hemoglobin,
The plateau low-pressure and low-oxygen environment can have adverse effect on the circulating system of field constructors. The condition of heart valve reflux is found to be commonly existed in physical examination of constructors in the Qinghai-Tibet plateau, the plateau environment has the characteristics of low air temperature, low air pressure, low oxygen, strong radiation and the like, the factors influence the physiological functions of human bodies, further cause the change of the structural functions of the hearts, as shown in figure 7, the incidence of the affected disease of the plateau hearts is increased,
Altitude erythrocytosis is a chronic altitude disease in which erythrocyte overcompensation is caused by a highland hypoxia environment, and in recent years, the incidence of altitude erythrocytosis has increased with an increase in the population of populated altitude and a change in altitude, as shown in fig. 8.
The foregoing invention has been generally described in great detail, but it will be apparent to those skilled in the art that modifications and improvements can be made thereto. Accordingly, it is intended to cover modifications or improvements within the spirit of the inventive concepts.
Claims (7)
1. The application method of the myocardial ischemia model in the plateau heart patient is characterized in that: the application method of the myocardial ischemia model in the plateau heart patient comprises the following steps:
s1: constructing a myocardial ischemia model;
S2: inputting basic information of a user;
S3: the data background analyzes the data through an AI technology and judges whether a user can enter a plateau;
S4: and (5) evaluating satisfaction degree of the plateau heart patients and family members.
2. The method of using a myocardial ischemia model according to claim 1 in a plateau cardiac patient, wherein: the step S1 comprises the following steps:
S11: constructing a plateau heart disease screening system;
S12: constructing a myocardial ischemia model workflow and a myocardial ischemia model working procedure;
s13: and establishing a myocardial ischemia model work effect evaluation system.
3. The method of using a myocardial ischemia model according to claim 1 in a plateau cardiac patient, wherein: the construction method of the myocardial ischemia model comprises the following steps: collecting ECG, blood pressure, heart rate, pulse, heart color Doppler ultrasound and heart nuclear magnetic resonance of healthy people and myocardial ischemia patients, processing the ECG, blood pressure, heart rate, pulse, heart color Doppler ultrasound and heart nuclear magnetic resonance as training sets, inputting the training sets of ECG, blood pressure, heart rate, pulse, heart color Doppler ultrasound and heart nuclear magnetic resonance into a support vector machine model for training to obtain a myocardial ischemia model,
The processing of the ECG includes: calculating sample entropy of an ECG lead ST-T section, converting a 12-lead ECG signal into a three-lead VCG signal, calculating a spatial characteristic value and a temporal characteristic value by using Lyapunov indexes, taking the sample entropy of the ECG lead ST-T section, the temporal characteristic value TFV of the three-lead VCG and the spatial characteristic value SFV of the three-lead VCG as ECG training sets, inputting the ECG training sets into a support vector machine model for training to obtain a myocardial ischemia model, and selecting the optimal electrocardiogram characteristic reflecting myocardial ischemia by using a grid search method when the model is built.
4. The method of using a myocardial ischemia model according to claim 1 in a plateau cardiac patient, wherein: the basic information of the user comprises ECG, blood pressure, heart rate, pulse, heart color Doppler ultrasound and heart nuclear magnetic resonance, the data analysis comprises key index analysis and important index analysis, and the key index and the important index are invariable index and variable index.
5. The method of using a myocardial ischemia model according to claim 1 in a plateau cardiac patient, wherein: the step S3 comprises the following steps:
S31: analyzing key indexes, if the key indexes are unqualified, the user cannot enter the plateau, and if the key indexes are qualified, S32 is executed;
S32: and (3) analyzing the important indexes, wherein if all the important indexes are qualified, a user can enter a plateau, and if part of the important indexes are abnormal, S33 is executed.
6. The method of using a myocardial ischemia model according to claim 1 in a plateau cardiac patient, wherein: the step S3 further comprises the following steps:
S33: analyzing the danger rate of altitude reaction;
s34: a viable solution is proposed;
S35: executing by a user;
s36: and returning to S2.
7. The method of using a myocardial ischemia model according to claim 1 in a plateau cardiac patient, wherein: the solution comprises the following steps: reducing the occurrence rate of electrocardiographic anomalies, reducing the occurrence rate of blood pressure anomalies, reducing the occurrence rate of physical discomfort in the plateau region, reducing the occurrence rate of abnormal change of hemoglobin, reducing the occurrence rate of single-sided or double-sided affected areas of the left and right ventricles of a patient, reducing the occurrence rate of polycythemia symptoms in the plateau region, and reducing the occurrence rate of altitude heart diseases of personnel entering the plateau region.
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