CN109077721B - Atrial fibrillation detection apparatus and storage medium - Google Patents
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- 206010003658 Atrial Fibrillation Diseases 0.000 title claims abstract description 92
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Abstract
An embodiment of the present invention provides an atrial fibrillation detection apparatus and a storage medium, where the atrial fibrillation detection apparatus includes: the extraction module is used for extracting the P wave waveform information and the QRS wave waveform information in the electrocardiosignals; the first determining module is connected with the extracting module and used for determining P wave change according to the P wave waveform information; the second determining module is connected with the extracting module and used for determining PR interval change according to the QRS wave waveform information; the calculation module is connected with the first determination module and the second determination module and used for calculating the relative change of the P-wave change and the PR interval change; and the third determining module is connected with the calculating module and used for determining whether the electrocardiosignal is atrial fibrillation or not according to the relative change and a preset threshold corresponding to the current detection period. The embodiment of the invention can effectively detect atrial fibrillation.
Description
Technical Field
Embodiments of the present invention relate to signal processing technologies, and in particular, to an atrial fibrillation detection apparatus and a storage medium.
Background
Atrial Fibrillation (AF) is a common clinical arrhythmia disease and is characterized by disordered Atrial activity and subsequent complications such as cerebral apoplexy and myocardial infarction, which lead to high disability rate and death rate and seriously harm human health and life. In order to find and treat as early as possible and reduce the morbidity and mortality of atrial fibrillation, the research on the detection of atrial fibrillation has important clinical significance and social significance.
Therefore, how to effectively detect atrial fibrillation is a hot topic at present.
Disclosure of Invention
The embodiment of the invention provides an atrial fibrillation detection device and a storage medium, which are used for effectively detecting atrial fibrillation.
In a first aspect, an embodiment of the present invention provides an atrial fibrillation detection apparatus, including:
the first determining module is connected with the extracting module and used for determining P wave change according to the P wave shape information;
the second determination module is connected with the extraction module and used for determining PR interval change according to the QRS wave waveform information;
a calculating module connected with the first determining module and the second determining module and used for calculating the relative change of the P-wave change and the PR interval change;
and the third determining module is connected with the calculating module and used for determining whether the electrocardiosignal is atrial fibrillation or not according to the relative change and a preset threshold corresponding to the current detection period.
In a possible implementation manner, the first determining module is specifically configured to:
dividing the P wave sequence corresponding to the P wave waveform information into a plurality of subsequences;
determining the difference between the maximum value and the minimum value in each subsequence;
determining a maximum difference value among the difference values of the plurality of subsequences;
and dividing the maximum difference value by the maximum value in the P wave sequence to obtain the P wave change.
In one possible implementation, the second determining module includes:
a first determining submodule for determining a PR interval according to the QRS wave waveform information;
a second determining submodule for determining the PR interval change according to the probability density function of the corresponding phase space of the PR interval.
In a possible implementation, the second determining submodule is specifically configured to:
determining the PR interval variation according to the following formula:
wherein PRIV represents the PR interval variation; the PR interval is denoted as x (n), n ═ 1.. m, m being the PR interval; the probability density function of the PR interval corresponding to the phase space is expressed as y (n) (x (n), x (n +1),.., x (n + (m-1) t)); Σ represents a summation symbol, | | | | represents an euclidean distance, h represents a step function, t represents delay time, C represents a combination operation, r represents a preset parameter, and N represents the number of samples.
In a possible implementation manner, the third determining module is specifically configured to:
if the relative change is larger than a preset threshold corresponding to the current detection period, determining that the electrocardiosignal is atrial fibrillation;
or if the relative change is smaller than a preset threshold corresponding to the current detection period, determining that the electrocardiosignal is not atrial fibrillation.
In a possible embodiment, the cardiac signal is a multi-lead cardiac signal. At this time, the calculation module is specifically configured to:
calculating first relative changes of the P-wave changes and the PR interval changes corresponding to each lead electrocardiosignal;
and determining the mean value of the first relative change corresponding to each lead electrocardiosignal as the relative change.
In a possible embodiment, the atrial fibrillation detection apparatus further includes: a fourth determining module, connected to the third determining module, configured to calculate a preset threshold corresponding to the current detection period according to the following formula:
PPRMDq+1＝λPPRMDq+μPPRMDq-1
wherein, PPRMDq represents the preset threshold value corresponding to the qth detection period, and PPRMDq represents the preset threshold value corresponding to the qth detection period-1Denotes a preset threshold corresponding to the q-1 th detection period, q is an integer greater than 1, λ and μ are preset parameters, and λ + μ is 1.
In a possible embodiment, the method further comprises: and the output module is connected with the third determination module and used for outputting the result whether the electrocardiosignal is atrial fibrillation or not.
In a second aspect, an embodiment of the present invention provides an atrial fibrillation detection apparatus, including a memory, a processor, and a computer program stored in the memory and executable by the processor; the processor executes the computer program to realize the following operations:
extracting P wave waveform information and QRS wave waveform information in the electrocardiosignals;
determining P wave change according to the P wave waveform information;
determining PR interval change according to the QRS wave waveform information;
calculating a relative change in the P-wave change and the PR interval change;
and determining whether the electrocardiosignal is atrial fibrillation or not according to the relative change and a preset threshold corresponding to the current detection period.
In a third aspect, an embodiment of the present invention provides a computer-readable storage medium, which includes computer-readable instructions, and when the computer-readable instructions are read and executed by a processor, the processor is caused to perform the following operations:
extracting P wave waveform information and QRS wave waveform information in the electrocardiosignals;
determining P wave change according to the P wave waveform information;
determining PR interval change according to the QRS wave waveform information;
calculating a relative change in the P-wave change and the PR interval change;
and determining whether the electrocardiosignal is atrial fibrillation or not according to the relative change and a preset threshold corresponding to the current detection period.
According to the atrial fibrillation detection device and the storage medium provided by the embodiment of the invention, firstly, P wave waveform information and QRS wave waveform information in an electrocardiosignal are extracted, then, P wave change is determined according to the P wave waveform information, PR interval change is determined according to the QRS wave waveform information, then, the relative change of the P wave change and the PR interval change is calculated, and whether the electrocardiosignal is atrial fibrillation is determined according to the relative change and a preset threshold corresponding to the current detection period, so that the atrial fibrillation is quickly and effectively detected.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an atrial fibrillation detection apparatus according to an embodiment of the present invention;
FIG. 2 is an exemplary diagram of an actual acquisition of an acquired cardiac electrical signal;
FIG. 3 is an exemplary diagram of P-wave waveform information and QRS-wave waveform information;
fig. 4 is a schematic structural diagram of an atrial fibrillation detection apparatus according to another embodiment of the present invention;
fig. 5 is a schematic structural diagram of an atrial fibrillation detection apparatus according to another embodiment of the present invention;
fig. 6 is a schematic structural diagram of an atrial fibrillation detection apparatus according to another embodiment of the present invention;
fig. 7 is a schematic structural diagram of an atrial fibrillation detection apparatus according to another embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first" and "second" and the like in the description and in the claims, and in the accompanying drawings of embodiments of the invention, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The inventor finds that: one important clinical manifestation at the onset of atrial fibrillation is the absolute irregularity of RR intervals, but this is also one of the features of other arrhythmias, thus resulting in limitations in RR interval-based atrial fibrillation detection; the disappearance of P wave is the unique characteristic expression of the attack of atrial fibrillation.
Based on the above, embodiments of the present invention provide an atrial fibrillation detection apparatus and a storage medium based on P-wave waveform characteristics and PR interval characteristics, so as to better characterize the onset of atrial fibrillation, and be suitable for practical application scenarios.
Fig. 1 is a schematic structural diagram of an atrial fibrillation detection apparatus according to an embodiment of the present invention. This embodiment provides an atrial fibrillation detection apparatus, which may be implemented in software and/or hardware. Illustratively, the atrial fibrillation detection apparatus may include, but is not limited to, a portable electrocardiograph, a wearable device, and electronic devices such as a computer and a server. The server may be a server, a server cluster composed of a plurality of servers, or a cloud computing service center.
As shown in fig. 1, the atrial fibrillation detection apparatus 10 includes: an extraction module 11, a first determination module 12, a second determination module 13, a calculation module 14 and a third determination module 15.
The extraction module 11 is configured to extract P-wave waveform information and QRS-wave waveform information in the electrocardiographic signal.
Specifically, the electrocardiographic signal may be an acquired original electrocardiographic signal, or may be a preprocessed electrocardiographic signal. The preprocessing may include impedance matching, filtering, amplifying, filtering, and the like. It can be understood that the electrocardiographic signals obtained by actual acquisition, as shown in fig. 2, contain various noises, and the waveforms are rough and not smooth, so that the useful information contained in the QRS waves is difficult to extract. Therefore, noise reduction and the like can be performed by preprocessing.
Illustratively, in practical applications, the multichannel synchronous data acquisition can be used to acquire the human heart signal to be processed and the background noise, i.e. the original electrocardio signal. Firstly, acquiring an original electrocardiosignal through an electrocardio lead and a sensor; then, the acquired original electrocardiosignals are subjected to impedance matching, filtering, amplification and other processing through an analog circuit to obtain analog signals; then, the analog-to-digital converter converts the analog signal into a digital signal, and the digital signal is stored by a memory; then, a low-pass digital filter (e.g., a butterworth filter) is used to perform low-pass filtering on the digital signal, so as to filter high-frequency noise (above 300 Hz) and obtain the filtered electrocardiosignal.
Wherein, the P wave is atrial depolarization wave and represents the activation of the left atrium and the right atrium. Since the sinoatrial node is located under the right atrial subintium, activation passes first to the right atrium and later to the left atrium. The depolarization in the right atrium is thus also completed slightly earlier than in the left atrium. Clinically for practical purposes, the anterior portion of the P-wave represents the right atrial activation and the posterior portion represents the left atrial activation. The analysis of P wave has important significance for the diagnosis and differential diagnosis of arrhythmia.
QRS wave shape information reflects changes in left and right ventricular depolarization potentials and time, with the first downward wave being the Q wave, the upward wave being the R wave, and the next downward wave being the S wave. The time from the starting point of the QRS wave to the end point of the QRS wave is the QRS time limit. Referring to fig. 3, an example of P-wave waveform information and QRS-wave waveform information is shown.
In some embodiments, wavelet transform techniques may be used to extract the P-wave waveform information and QRS-wave waveform information from the electrocardiographic signal.
The first determining module 12 is connected to the extracting module 11, and is configured to determine the P-wave variation according to the P-wave waveform information. The second determining module 13 is connected to the extracting module 11, and is configured to determine a PR interval change according to the QRS wave waveform information.
Wherein the PR interval is the period of time from the beginning of depolarization of the atria to the beginning of depolarization of the ventricles. When the heart rate of an adult is in a normal range, the PR interval is 0.12-0.20 seconds. The PR interval varies with heart rate and age, with the general rule that the faster the heart rate or the smaller the age, the shorter the PR interval; conversely, the longer the pulse, the slower the heart rate of the elderly, and the longer the PR interval may be 0.21-0.22 seconds.
Specifically, the waveform information includes a variation trend of the waveform, the waveform corresponds to time and amplitude, and the amplitude is in a fluctuation state. Thus, changes in the P-wave can be determined from the P-wave waveform information and changes in the PR interval can be determined from the QRS-wave waveform information.
Still taking fig. 3 as an example, the reference point of the electrocardiographic signal can be obtained through the TP baseline and the PQ baseline, and the PR interval and the P-wave sequence are calculated, so as to determine the PR interval change and the P-wave change.
The calculating module 14 is connected to the first determining module 12 and the second determining module 13, and is configured to calculate a relative change between a P-wave change and a PR interval change. The ratio of the change of the P wave to the change of the PR interval is calculated, and the ratio is the relative change of the two. For example, if PDI is used to indicate P-wave change, PRIV is used to indicate PR interval change, and PPR is used to indicate relative change, then
The third determining module 15 is connected to the calculating module 14, and configured to determine whether the electrocardiographic signal is atrial fibrillation according to the relative change and a preset threshold corresponding to the current detection period.
Illustratively, the relative changes of P-wave changes and PR interval changes are taken as input features of an atrial fibrillation recognition classifier, and atrial fibrillation can be distinguished from non-atrial fibrillation through the recognition of the atrial fibrillation recognition classifier.
Optionally, the third determining module 15 may be specifically configured to: if the relative change is larger than a preset threshold corresponding to the current detection period, determining that the electrocardiosignal is atrial fibrillation; or if the relative change is smaller than the preset threshold corresponding to the current detection period, determining that the electrocardiosignal is not atrial fibrillation.
It should be noted that, for the case that the relative change is equal to the preset threshold corresponding to the current detection period, the setting may be performed according to actual requirements, for example, if it is determined that the relative change is greater than or equal to the preset threshold corresponding to the current detection period, it is determined that the electrocardiographic signal is atrial fibrillation; or if the relative change is determined to be less than or equal to the preset threshold corresponding to the current detection period, determining that the electrocardiosignal is not atrial fibrillation.
In summary, first, the P-wave waveform information and the QRS-wave waveform information in the electrocardiographic signal are extracted, then, the P-wave change is determined according to the P-wave waveform information, the PR interval change is determined according to the QRS-wave waveform information, then, the relative change between the P-wave change and the PR interval change is calculated, and whether the electrocardiographic signal is atrial fibrillation is determined according to the relative change and the preset threshold corresponding to the current detection period, so that the rapid and effective detection of atrial fibrillation is realized.
On the basis of the foregoing embodiment, in an implementation manner, the first determining module 12 may specifically be configured to: dividing a P wave sequence corresponding to the P wave waveform information into a plurality of subsequences; determining the difference between the maximum value and the minimum value in each subsequence; determining a maximum difference value of the difference values of the plurality of subsequences; and dividing the maximum difference value by the maximum value in the P wave sequence to obtain the P wave change.
For example, let P (i, j) represent a P-wave sequence corresponding to P-wave waveform information, where i represents the number of samples of the sub-sequence, and i is less than or equal to the number of samples of the P-wave sequence; j denotes the jth sample of the P-wave sequence. Next, the difference between the maximum value and the minimum value in the P-wave sequence is calculated, which can be expressed as pd (i):
the change of the P wave is expressed by PDI, and the calculation formula is as follows:
wherein,
it is indicated that the maximum difference value is,
represents the maximum value in the P-wave sequence.
In another implementation, the first determining module 12 may specifically be configured to: determining the difference value between the maximum value and the minimum value in a P wave sequence corresponding to the P wave waveform information; dividing the difference by the maximum value in the P-wave sequence to obtain the P-wave variation. It will be appreciated that in this implementation, i is equal to the number of samples of the P-wave sequence.
Fig. 4 is a schematic structural diagram of an atrial fibrillation detection apparatus according to another embodiment of the present invention. As shown in fig. 4, in the atrial fibrillation detection apparatus 40, based on the structure shown in fig. 1, the second determination module 13 may include: a first determination submodule 131 and a second determination submodule 132. Wherein,
a first determination submodule 131 may be used to determine the PR interval based on the QRS wave waveform information.
The second determination submodule 132 may be configured to determine the PR interval variation based on a probability density function of the PR interval to the phase space.
Further, the second determining submodule 132 is specifically configured to:
the PR interval change is determined according to the following formula:
wherein PRIV represents the PR interval variation; the PR interval is denoted as x (n), n ═ 1.. m, m being the PR interval; the probability density function of the PR interval corresponding to the phase space is expressed as y (n) (x (n), x (n +1),.., x (n + (m-1) t)); Σ represents a summation symbol, | | | | represents an euclidean distance, h represents a step function, t represents delay time, C represents a combination operation, r represents a preset parameter, and N represents the number of samples.
The above processing is described for a single lead ecg signal. Optionally, the cardiac electrical signal may also be a multi-lead cardiac electrical signal. In this case, the calculation module 14 may be specifically configured to: calculating a first relative change of P wave change and PR interval change corresponding to each lead electrocardiosignal; and determining the mean value of the first relative change corresponding to each lead electrocardiosignal as the relative change.
For multi-lead electrocardiosignals, assuming that the number of leads is M, M first relative changes PPR are obtained, and an average value PPRM thereof is calculated as shown in the following formula:
wherein PPRMq represents the calculated PPRM, PPR of the qth in the continuous monitoring processs,qThe PPR of the s-th lead in the q-th calculation is shown.
In the above embodiment, the accuracy of the detection result can be improved by determining the mean value of the first relative change corresponding to each lead electrocardiograph signal as the relative change.
Further, as shown in fig. 5, the atrial fibrillation detection apparatus 50 may further include: the fourth determining module 51 is connected to the third determining module 15, and configured to determine the preset threshold corresponding to the current detection period according to the preset threshold corresponding to the previous detection period.
Specifically, the fourth determining module 51 may be configured to calculate the preset threshold corresponding to the current detection period according to the following formula:
PPRMDq+1＝λPPRMDq+μPPRMDq-1
wherein, PPRMDq represents the preset threshold value corresponding to the qth detection period, and PPRMDq represents the preset threshold value corresponding to the qth detection period-1Denotes a preset threshold corresponding to the q-1 th detection period, q is an integer greater than 1, λ and μ are preset parameters, and λ + μ is 1.
For example, if the initial threshold of the PPRM is set to be PPRMD0, the initial threshold is an empirical parameter obtained through a large number of experiments, and PPRMDq represents a preset threshold corresponding to the qth detection period, the adaptive threshold update formula is the above formula.
In some examples, λ is 0.85 and μ is 0.15, based on a large amount of experimental data.
The embodiment shows that the preset threshold corresponding to each detection period is not fixed and unchanged, self-adaptive adjustment is always carried out according to the preset threshold corresponding to the previous detection period, the calculation is simple, the occupied resources are few, the atrial fibrillation detection device can be quickly operated on, and the atrial fibrillation can be quickly and effectively identified.
Fig. 6 is a schematic structural diagram of an atrial fibrillation detection apparatus according to another embodiment of the present invention. Referring to fig. 6, further to the structure shown in fig. 1, atrial fibrillation detection apparatus 60 may further include: and an output module 61.
The output module 61 is connected to the third determining module 15, and configured to output a result of whether the electrocardiographic signal is atrial fibrillation after the third determining module 15 determines whether the electrocardiographic signal is atrial fibrillation according to the relative change and the preset threshold corresponding to the current period.
In the embodiment, after the obtained atrial fibrillation classification result is identified, the atrial fibrillation classification result is displayed on electronic equipment such as a single lead electrocardiogram plaster, a multi-sign device and a monitor device which comprise an electrocardiogram module and is used as a basis for detection and diagnosis of individuals or doctors. Or, the output of whether the electrocardiographic signal is the result of atrial fibrillation may also be performed in an audio form, and the embodiment of the present invention is not limited in specific form.
Fig. 7 is a schematic structural diagram of an atrial fibrillation detection apparatus according to another embodiment of the present invention. As shown in fig. 7, the atrial fibrillation detection apparatus 70 includes a memory 71 and a processor 72, and a computer program stored on the memory 71 for execution by the processor 72. Processor 72 executes a computer program that causes atrial fibrillation detection apparatus 70 to:
extracting P wave waveform information and QRS wave waveform information in the electrocardiosignals;
determining P wave change according to the P wave waveform information;
determining PR interval change according to the QRS wave waveform information;
calculating a relative change in the P-wave change and the PR interval change;
and determining whether the electrocardiosignal is atrial fibrillation or not according to the relative change and a preset threshold corresponding to the current detection period.
It should be noted that, regarding the number of the memories 71 and the processors 72, the number of the memories 71 and the number of the processors 72 are not limited in the embodiments of the present invention, and may be one or more, and fig. 7 illustrates one example; the memory 71 and the processor 72 may be connected by various means, such as wire or wireless.
In one implementation, the determining, by the atrial fibrillation detection apparatus 70, a P-wave change according to the P-wave waveform information includes:
dividing the P wave sequence corresponding to the P wave waveform information into a plurality of subsequences;
determining the difference between the maximum value and the minimum value in each subsequence;
determining a maximum difference value among the difference values of the plurality of subsequences;
and dividing the maximum difference value by the maximum value in the P wave sequence to obtain the P wave change.
In some embodiments, determining PR interval changes by atrial fibrillation detection apparatus 70 based on the QRS wave waveform information may include:
determining a PR interval according to the QRS wave waveform information;
and determining the PR interval change according to the probability density function of the corresponding phase space of the PR interval.
Optionally, atrial fibrillation detection device 70 determines the PR interval change according to the probability density function of the phase space corresponding to the PR interval, including:
determining the PR interval variation according to the following formula:
wherein PRIV represents the PR interval variation; the PR interval is denoted as x (n), n ═ 1.. m, m being the PR interval; the probability density function of the PR interval corresponding to the phase space is expressed as y (n) (x (n), x (n +1),.., x (n + (m-1) t)); Σ represents a summation symbol, | | | | represents an euclidean distance, h represents a step function, t represents delay time, C represents a combination operation, r represents a preset parameter, and N represents the number of samples.
In some embodiments, the determining, by the atrial fibrillation detecting device 70, whether the cardiac signal is atrial fibrillation according to the relative change and the preset threshold corresponding to the current detection period includes:
if the relative change is larger than a preset threshold corresponding to the current detection period, determining that the electrocardiosignal is atrial fibrillation;
or if the relative change is smaller than a preset threshold corresponding to the current detection period, determining that the electrocardiosignal is not atrial fibrillation.
Further, the electrocardiographic signal may be a multi-lead electrocardiographic signal. At this time, atrial fibrillation detection device 70 calculates the relative changes in the P-wave changes and PR interval changes, including:
calculating first relative changes of the P-wave changes and the PR interval changes corresponding to each lead electrocardiosignal;
and determining the mean value of the first relative change corresponding to each lead electrocardiosignal as the relative change.
In some embodiments, the computer program when executed by the processor 72 further causes the atrial fibrillation detection apparatus 70 to: before determining whether the electrocardiosignal is atrial fibrillation according to the relative change and a preset threshold corresponding to the current detection period, calculating the preset threshold corresponding to the current detection period according to the following formula:
PPRMDq+1＝λPPRMDq+μPPRMDq-1
wherein, PPRMDq represents the preset threshold value corresponding to the qth detection period, and PPRMDq represents the preset threshold value corresponding to the qth detection period-1Denotes a preset threshold corresponding to the q-1 th detection period, q is an integer greater than 1, λ and μ are preset parameters, and λ + μ is 1.
In some embodiments, the computer program when executed by the processor 72 further causes the atrial fibrillation detection apparatus 70 to: and after determining whether the electrocardiosignal is atrial fibrillation or not according to the relative change and a preset threshold corresponding to the current detection period, outputting a result whether the electrocardiosignal is atrial fibrillation or not.
Accordingly, the atrial fibrillation detection apparatus 70 may also include a display screen 73. The display screen 73 can be used to output the result of whether the ecg signal is atrial fibrillation.
The display screen 73 may be a capacitive screen, an electromagnetic screen, or an infrared screen. In general, the display screen 73 is used for displaying data according to the instructions of the processor 72, and is also used for receiving a touch operation applied to the display screen 73 and sending a corresponding signal to the processor 72 or other components of the atrial fibrillation detection apparatus 70. Optionally, when the display screen 73 is an infrared screen, it further includes an infrared touch frame, which is disposed around the display screen 73, and which can also be used to receive an infrared signal and send the infrared signal to the processor 72 or other components of the atrial fibrillation detection apparatus 70.
Embodiments of the present invention further provide a computer-readable storage medium, which includes computer-readable instructions, and when the computer-readable instructions are read and executed by a processor, the processor is caused to perform the steps in any of the above embodiments.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media capable of storing program codes, such as Read-Only Memory (ROM), Random Access Memory (RAM), magnetic disk, or optical disk.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. An atrial fibrillation detection apparatus, comprising:
the extraction module is used for extracting the P wave waveform information and the QRS wave waveform information in the electrocardiosignals;
the first determining module is connected with the extracting module and used for determining P wave change according to the P wave shape information;
the second determination module is connected with the extraction module and used for determining PR interval change according to the QRS wave waveform information;
a calculating module connected with the first determining module and the second determining module and used for calculating the relative change of the P-wave change and the PR interval change;
the third determining module is connected with the calculating module and used for determining whether the electrocardiosignal is atrial fibrillation or not according to the relative change and a preset threshold corresponding to the current detection period;
the first determining module is specifically configured to:
dividing the P wave sequence corresponding to the P wave waveform information into a plurality of subsequences;
determining the difference between the maximum value and the minimum value in each subsequence;
determining a maximum difference value among the difference values of the plurality of subsequences;
and dividing the maximum difference value by the maximum value in the P wave sequence to obtain the P wave change.
2. The apparatus of claim 1, wherein the second determining module comprises:
a first determining submodule for determining a PR interval according to the QRS wave waveform information;
a second determining submodule for determining the PR interval change according to the probability density function of the corresponding phase space of the PR interval.
3. The apparatus of claim 2, wherein the second determination submodule is specifically configured to:
determining the PR interval variation according to the following formula:
wherein PRIV represents the PR interval variation; the PR interval is denoted as x (n), n ═ 1.. m, m being the PR interval; the probability density function of the PR interval corresponding to the phase space is expressed as y (n) (x (n), x (n +1),.., x (n + (m-1) t)); Σ represents a summation symbol, | | | | represents an euclidean distance, h represents a step function, t represents delay time, C represents a combination operation, r represents a preset parameter, and N represents the number of samples.
4. The apparatus of claim 1, wherein the third determining module is specifically configured to:
if the relative change is larger than a preset threshold corresponding to the current detection period, determining that the electrocardiosignal is atrial fibrillation;
or if the relative change is smaller than a preset threshold corresponding to the current detection period, determining that the electrocardiosignal is not atrial fibrillation.
5. The apparatus according to claim 1, wherein the cardiac electrical signal is a multi-lead cardiac electrical signal, and the computing module is specifically configured to:
calculating first relative changes of the P-wave changes and the PR interval changes corresponding to each lead electrocardiosignal;
and determining the mean value of the first relative change corresponding to each lead electrocardiosignal as the relative change.
6. The apparatus of claim 1, further comprising:
a fourth determining module, connected to the third determining module, configured to calculate a preset threshold corresponding to the current detection period according to the following formula:
PPRMDq+1＝λPPRMDq+μPPRMDq-1
wherein, PPRMDq represents the preset threshold value corresponding to the qth detection period, and PPRMDq represents the preset threshold value corresponding to the qth detection period-1Represents a preset threshold corresponding to the (q-1) th detection period, q is an integer greater than 1,λ and μ are preset parameters, and λ + μ ═ 1.
7. The apparatus of any one of claims 1 to 6, further comprising:
and the output module is connected with the third determination module and used for outputting the result whether the electrocardiosignal is atrial fibrillation or not.
8. An atrial fibrillation detection apparatus comprising a memory and a processor, and a computer program stored on the memory for execution by the processor;
the processor executes the computer program to realize the following operations:
extracting P wave waveform information and QRS wave waveform information in the electrocardiosignals;
determining P wave change according to the P wave waveform information;
determining PR interval change according to the QRS wave waveform information;
calculating a relative change in the P-wave change and the PR interval change;
determining whether the electrocardiosignal is atrial fibrillation or not according to the relative change and a preset threshold corresponding to the current detection period;
wherein the determining a P-wave variation according to the P-wave waveform information includes:
dividing the P wave sequence corresponding to the P wave waveform information into a plurality of subsequences;
determining the difference between the maximum value and the minimum value in each subsequence;
determining a maximum difference value among the difference values of the plurality of subsequences;
and dividing the maximum difference value by the maximum value in the P wave sequence to obtain the P wave change.
9. A computer-readable storage medium comprising computer-readable instructions that, when read and executed by a processor, cause the processor to:
extracting P wave waveform information and QRS wave waveform information in the electrocardiosignals;
determining P wave change according to the P wave waveform information;
determining PR interval change according to the QRS wave waveform information;
calculating a relative change in the P-wave change and the PR interval change;
determining whether the electrocardiosignal is atrial fibrillation or not according to the relative change and a preset threshold corresponding to the current detection period;
wherein the determining a P-wave variation according to the P-wave waveform information includes:
dividing the P wave sequence corresponding to the P wave waveform information into a plurality of subsequences;
determining the difference between the maximum value and the minimum value in each subsequence;
determining a maximum difference value among the difference values of the plurality of subsequences;
and dividing the maximum difference value by the maximum value in the P wave sequence to obtain the P wave change.
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| CN112826514B (en) * | 2019-11-22 | 2022-07-22 | 华为技术有限公司 | Atrial fibrillation signal classification method, device, terminal and storage medium |
| CN111265210A (en) * | 2020-03-24 | 2020-06-12 | 华中科技大学 | Atrial fibrillation prediction device and equipment based on deep learning |
| CN113491508A (en) * | 2020-04-03 | 2021-10-12 | 华为技术有限公司 | Electronic device and atrial fibrillation early warning method and medium thereof |
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