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

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

ECG data analysis method, device, computer equipment and storage medium

[0001] This application claims priority to the 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 into this application. Technical Field

[0002] The present application relates to an electrocardiogram (ECG) data analysis method, apparatus, computer equipment, and storage medium. Background Art

[0003] The mortality rate from heart disease can be effectively reduced through prevention, monitoring, and timely rehabilitation treatment of heart disease. In the first stages of heart disease, it is important to assess cardiac rehabilitation so that doctors can provide further rehabilitation guidance and recommendations based on cardiac rehabilitation status and clinical symptoms.

[0004] Currently, cardiac rehabilitation is typically assessed based on clinical gold standards or electrocardiogram (ECG) ST-T segment data. However, most clinical gold standards are invasive and can have varying degrees of impact on the patient's health. Furthermore, assessments based on ST-T segment data, which uses fuzzy qualitative information to identify a patient's heart health, are subject to low accuracy. This suggests that existing assessment methods struggle with achieving both non-invasiveness and accuracy. Summary of the Invention

[0005] According to various embodiments disclosed in the present application, a method, apparatus, computer device, and storage medium for analyzing electrocardiogram data are provided.

[0006] A method for analyzing electrocardiogram data, comprising:

[0007] 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;

[0008] 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;

[0009] Analyzing the current resting electrocardiogram signal to obtain an autonomic nerve control assessment score and a cardiac function assessment score;

[0010] Obtaining a historical overall risk assessment score of the subject corresponding to the second stage; the historical overall risk assessment score is determined by historical ECG data corresponding to the target ECG test;

[0011] Rehabilitation guidance reference indicators are determined 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.

[0012] In one embodiment, analyzing the current resting ECG signal to obtain the autonomic nerve control assessment score and the cardiac function assessment score includes:

[0013] Analyzing the high-frequency components of the QRS complex in the current resting electrocardiogram signal to obtain a current high-frequency QRS envelope curve;

[0014] Determining an autonomic nerve control evaluation index and a cardiac function evaluation index according to the current high-frequency QRS envelope curve;

[0015] Determining an autonomic nerve assessment score according to the autonomic nerve assessment index;

[0016] A cardiac function assessment score is determined according to the cardiac function assessment index.

[0017] 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 based on the autonomic nerve assessment index includes:

[0018] 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.

[0019] In one embodiment, the cardiac function assessment index includes QRS duration and a current high-frequency morphology index corresponding to each resting lead; and determining a cardiac function assessment score based on the cardiac function assessment index includes:

[0020] Determine the coefficient according to the QRS duration and the score of the corresponding resting lead according to the current high-frequency morphology index;

[0021] The cardiac function assessment score is determined according to the product of the sum of the scores and the coefficient.

[0022] 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 based on the product of the sum of the scores and the coefficient includes:

[0023] determining a first cardiac function assessment sub-score according to the product of the sum of the scores and the coefficient;

[0024] The cardiac function assessment subscore is determined based on 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.

[0025] In one embodiment, if the target ECG test includes a resting ECG test, the current ECG data also includes the age of the subject; and analyzing the high-frequency components of the QRS complex in the current ECG data according to the target ECG test to obtain the current overall risk assessment score includes:

[0026] Analyzing the high-frequency components of the QRS complex in the current resting electrocardiogram signal to obtain a current high-frequency QRS envelope curve;

[0027] 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;

[0028] A current overall risk assessment score is determined based on the current resting reference signature.

[0029] In one embodiment, if the target ECG test includes a resting ECG test and a stress exercise ECG test, the current ECG data also includes the subject's age and the current exercise ECG signal; and 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 test, including:

[0030] Analyzing the high-frequency components of the QRS complex in the current resting electrocardiogram signal to obtain a current high-frequency QRS envelope curve;

[0031] 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;

[0032] Analyzing the high-frequency components of the QRS complex in the current exercise electrocardiogram signal to obtain a current high-frequency QRS waveform curve;

[0033] determining the current maximum heart rate of the subject according to the current exercise electrocardiogram signal;

[0034] The current motion reference characteristics are determined according to the current high-frequency QRS waveform curve, the age and the current maximum heart rate; the current motion reference characteristics include 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 a 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 a second relative value threshold;

[0035] A current overall risk assessment score is determined according to the current rest reference feature and the current motion reference feature.

[0036] In one embodiment, determining a current overall risk assessment score based on the current resting reference feature and the current motion reference feature includes:

[0037] The current overall risk assessment score is determined 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 first target lead number, 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.

[0038] In one embodiment, determining the rehabilitation guidance reference indicator based on the current overall risk assessment score, the historical overall risk assessment score, the autonomic nerve innervation assessment score, and the cardiac function assessment score includes:

[0039] Determining an overall risk change indicator based on the current overall risk assessment score and the historical overall risk assessment score;

[0040] 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.

[0041] An electrocardiogram data analysis device, comprising:

[0042] An acquisition module, configured to acquire current ECG data collected corresponding to the target ECG detection in the first phase; the current ECG data at least includes a current resting ECG signal;

[0043] 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;

[0044] The analysis module is further configured to analyze the current resting ECG signal to obtain an autonomic nerve control assessment score and a cardiac function assessment score;

[0045] The acquisition module is further configured to acquire 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;

[0046] 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.

[0047] 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.

[0048] A computer-readable storage medium stores computer-readable instructions, which implement the steps of various method embodiments when executed by a processor.

[0049] The details of one or more embodiments of the present application are set forth in the accompanying drawings and the description below. Other features and advantages of the present application will become apparent from the description, drawings, and claims. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments. 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.

[0051] FIG1 is a schematic flow chart of an electrocardiogram data analysis method according to an embodiment;

[0052] FIG2 is a flow chart of an electrocardiogram data analysis method according to another embodiment;

[0053] FIG3 is a block diagram of an electrocardiogram data analysis device according to an embodiment;

[0054] FIG4 is a block diagram of a computer device according to one embodiment. DETAILED DESCRIPTION

[0055] In order to make the technical solutions and advantages of this 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 this application and are not intended to limit this application.

[0056] 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 implemented through the interaction between the terminal and the server, without specific limitation herein. The terminal can be, but is not limited to, various personal computers, laptops, smartphones, tablet computers, ECG monitoring devices, and portable wearable devices, and the server can be implemented as a standalone server or a server cluster consisting of multiple servers.

[0057] 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:

[0058] 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.

[0059] The target ECG test refers to the type of ECG test suitable for the subject, which matches the subject's clinical indications before the rehabilitation stage and includes at least a resting ECG test. The subject's clinical indications before the rehabilitation stage are used to indicate the ECG test suitable for the subject before the rehabilitation stage, specifically to indicate whether the subject can undergo a stress exercise ECG test, including clinical data such as whether the subject has hypoglycemia, hypotension, and an acute myocardial infarction, as well as whether vital signs are stable. If the vital signs are stable and hypoglycemia, hypotension, and an acute 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 limiting.

[0060] Specifically, current ECG data of the subject is obtained. The current ECG data is ECG data collected during a target ECG test in the first phase. The target ECG test is determined by the subject's clinical indication in the second phase. The target ECG test includes at least a resting ECG test, and the current ECG data includes at least a current resting ECG signal collected during the resting ECG test in the first phase.

[0061] In one embodiment, if the target ECG test includes a resting ECG test, the current ECG data includes the current resting ECG signal and the subject's age. If the target ECG test includes a resting ECG test and a stress exercise ECG test, the current ECG data includes the subject's age, the current resting ECG signal, and the current exercise ECG signal collected during the first stage of the stress exercise ECG test.

[0062] 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 another 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.

[0063] S104: 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.

[0064] The current overall risk assessment score is used to represent 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, that is, the greater the overall risk of heart problems in the first stage is.

[0065] 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 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.

[0066] 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 based on the current resting reference feature. If the target ECG detection includes a resting ECG detection and a stress exercise ECG detection, the current reference feature includes the current resting reference feature and the current motion reference feature determined by the current motion ECG signal, and may also include a current fused 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 based on 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 fused reference feature.

[0067] In one embodiment, the current reference feature is 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-score, and the current overall risk assessment score is determined based on each current overall risk assessment sub-score.

[0068] S106, analyzing the current resting ECG signal to obtain an autonomic nerve control assessment score and a cardiac function assessment score.

[0069] The autonomic nervous system assessment score is used to indicate the risk of autonomic nervous system abnormalities. A higher score indicates a greater risk of autonomic nervous system abnormalities. The cardiac function assessment score is correlated with cardiac function grade. A higher score indicates a higher cardiac function grade and indicates a greater decline in cardiac function.

[0070] Specifically, the high-frequency components of the QRS complex 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.

[0071] S108, obtaining the subject's corresponding historical overall risk assessment score in the second stage; the historical overall risk assessment score is determined by the historical ECG data corresponding to the target ECG test.

[0072] The historical overall risk assessment score is used to represent the overall risk of heart problems in the second stage. For example, the higher the historical overall risk assessment score, the greater the overall risk of heart problems in the second stage.

[0073] Specifically, the subject's historical overall risk assessment score is obtained, and the historical overall risk assessment score is determined based on the subject's historical ECG data, 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 subject's clinical indication 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.

[0074] 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 an overall risk change indicator and a target risk assessment level.

[0075] The overall risk change index is used to characterize changes in the overall risk of developing heart problems, allowing doctors to accurately assess the effectiveness of a patient's cardiac rehabilitation based on their clinical symptoms before and after rehabilitation. For example, if the overall risk change index is negative, it indicates an increase in the overall risk of developing heart problems. The larger the absolute value of the overall risk change index, the greater the increase in overall risk, indicating a likelihood of poorer cardiac rehabilitation outcomes. A positive overall risk change index indicates a decrease in the overall risk of developing heart problems. The larger the overall risk change index, the greater the decrease in overall risk, indicating a likelihood of better cardiac rehabilitation outcomes. A zero overall risk change index indicates the overall risk remains unchanged, indicating a likelihood of ineffective cardiac rehabilitation. The target risk assessment level, which can also be understood as the cardiac risk assessment level, characterizes the risk of developing heart problems in the first stage. For example, a higher target risk assessment level indicates a greater risk of developing heart problems in the first stage. This allows doctors to accurately identify a patient's cardiac rehabilitation status based on the overall risk change index and clinical symptoms, thereby providing further rehabilitation guidance and recommendations.

[0076] 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 nerve control assessment score and the cardiac function assessment score.

[0077] The above-mentioned ECG data analysis method obtains the current ECG data collected for the target ECG detection in the first stage and includes at least 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 subject's overall cardiac health status in the first stage. By analyzing the current resting ECG signal, an autonomic nerve dominance assessment score that characterizes the autonomic nerve dominance status and a cardiac function assessment score that characterizes the cardiac function status are obtained. A historical overall risk assessment score that is determined based on the historical ECG data collected in the second stage corresponding to the target ECG detection is used to characterize the subject's overall cardiac health status in the second stage. The current overall risk assessment score, the historical overall risk assessment score, the autonomic nerve dominance assessment score and the cardiac function assessment score are comprehensively considered to obtain a rehabilitation guidance reference indicator including an overall risk change index and a target risk assessment level for reference by the doctor, so that the doctor can accurately assess the subject's cardiac rehabilitation status in the first stage in a non-invasive manner in combination with clinical symptoms, and thus provide further rehabilitation guidance reference suggestions.

[0078] 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.

[0079] 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 the current resting ECG signal, 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-mentioned data processing on the current resting ECG signal. Each high-frequency QRS envelope curve is analyzed to obtain an autonomic nerve dominance evaluation index and a cardiac function evaluation index, and an autonomic nerve evaluation score is obtained based on the autonomic nerve dominance evaluation index, and a cardiac function evaluation score is obtained based on the cardiac function evaluation index.

[0080] 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, so as to accurately assess the target risk assessment level in combination with the current overall risk assessment score for the doctor's reference.

[0081] In one embodiment, the autonomic nerve dominance assessment index includes the average voltage of the limb leads and the average voltage of the chest leads; determining the autonomic nerve assessment score based on the autonomic nerve assessment index includes: determining the autonomic nerve dominance assessment score based on the ratio of the average voltage of the limb leads to the average voltage of the chest leads.

[0082] Resting leads include limb leads and chest leads. Specifically, the average limb lead voltage is determined based on the current high-frequency QRS envelope curve corresponding to each limb lead, and the average chest lead voltage is determined based on the current high-frequency QRS envelope curve corresponding to each chest lead. The ratio of the average limb lead voltage to the average chest lead voltage is input into a preset autonomic innervation assessment function to obtain an autonomic innervation assessment score.

[0083] In one embodiment, the expression of the preset autonomic nervous system innervation evaluation function is as follows:

[0084]

[0085] 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.

[0086] In one embodiment, if Indicates the balance of autonomic nervous system. Characterizes vagal innervation, if Indicates sympathetic innervation. or Characterizes autonomic nervous system disorders.

[0087] In one embodiment, the peak voltage of each limb lead is determined based on the current high-frequency QRS envelope curve corresponding to that limb lead, and the peak voltages of each limb lead are averaged to obtain the limb lead average voltage. Alternatively, the voltages on the current high-frequency QRS envelope curve corresponding to each limb lead are summed or averaged to obtain the corresponding voltage sum or voltage mean, and the voltage sums or means of each limb lead are averaged to obtain the limb lead average voltage. It will be understood that the chest lead average voltage can be determined based on the current high-frequency QRS envelope curve corresponding to each chest lead in a similar manner, which will not be further described here.

[0088] 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.

[0089] In one embodiment, the cardiac function assessment index includes the QRS duration and the current high-frequency morphology index corresponding to each resting lead; determining the cardiac function assessment score based on the cardiac function assessment index includes: determining the coefficient based on the QRS duration, determining the score of the corresponding resting lead based on the current high-frequency morphology index; and determining the cardiac function assessment score based on the product of the sum of the scores and the coefficient.

[0090] 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, and the QRS duration is matched with each preset time interval to determine the coefficient. The scores of each resting lead are 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 based on the total score. Each preset index interval is associated with a score, and each preset time 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's function declines.

[0091] For example, the preset index intervals include [10%, 19.9%], [20%, 29.9%], [30%, 39.9%], [40%, 49.9%], and [50%, 100%]. The scores corresponding to these 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 milliseconds (ms). The coefficients corresponding to these three preset time limit intervals are 1, 1.25, and 1.5, respectively.

[0092] 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 assessment score, or the total score is input into a preset cardiac function assessment function to obtain the corresponding cardiac function assessment score. The first weight can be customized, such as 0.25. The expression of the cardiac function assessment function is as follows:

[0093]

[0094] in, represents the cardiac function assessment score, It represents the total score based on QRS duration and each current high-frequency morphology index.

[0095] 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.

[0096] 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. The QRS duration can also be determined based on the low-frequency component of the current resting ECG signal, which is not limited here.

[0097] 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.

[0098] 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 based on the sum of the scores and the product of the coefficient, including: determining the first cardiac function assessment sub-score based on the sum of the scores and the product of the coefficient; determining 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.

[0099] The current number of resting positive leads refers to the number of resting leads in which the corresponding lead positive index indicates a positive value, 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 a positive value, 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.

[0100] 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 based on each current high-frequency QRS envelope curve, the resting leads indicated by the lead positive index 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 electrocardiogram signal is analyzed to obtain a low-frequency electrocardiogram, 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. For details, please refer to the existing technology, and analyze whether arrhythmia occurs in the corresponding low-frequency electrocardiogram based on the current resting electrocardiogram 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-mentioned total score, the number of current resting positive leads and the arrhythmia assessment index can be input into the corresponding cardiac function assessment sub-function respectively to obtain the corresponding cardiac function assessment sub-score.

[0101] In one embodiment, 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 identified more accurately. The lead positive index indicates critical, which is used to characterize that the current high-frequency morphological 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.

[0102] In one embodiment, the expression of the cardiac function evaluation function can also be expressed as follows:

[0103]

[0104] 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:

[0105]

[0106]

[0107]

[0108] 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.

[0109] In the above embodiment, on the basis of the QRS duration and the current high-frequency morphology index corresponding to each resting lead, 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 doctors can more accurately identify the cardiac recovery status of the subject.

[0110] In one embodiment, if the target ECG detection includes 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 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 determining the current overall risk assessment score based on the current resting reference feature.

[0111] The first index threshold can be customized, such as 20%, and the first voltage threshold can be customized, such as 4uV (microvolts). Specifically, according to the analysis method in one or more embodiments of the present application, the current high-frequency QRS envelope curve is analyzed based on the current resting ECG signal, and the current high-frequency morphology index of the corresponding resting lead is analyzed based on each current high-frequency QRS envelope curve. The corresponding lead positive index is determined according to the age of the subject and the current high-frequency morphology index corresponding to each resting lead. The resting leads with positive indicators of the corresponding leads are screened and counted to obtain the current number of resting positive leads. The resting leads with critical indicators of the corresponding leads are screened and counted to obtain the current number of resting critical leads. The resting leads with current high-frequency morphology indices greater than or equal to the current high-first index threshold are screened and counted to obtain the first target number of leads, and the maximum value is screened from the current high-frequency morphology indices corresponding to each resting lead as the current target high-frequency morphology index. The RMS value of the current high-frequency QRS envelope curve corresponding to each resting lead is calculated to obtain the current RMS voltage of the corresponding resting lead. Resting leads whose current RMS voltage is less than or equal to the first voltage threshold are screened and counted to obtain a second target number of leads. The minimum value among the current RMS voltages corresponding to each resting lead is selected as the current target RMS voltage. Furthermore, the current resting reference feature is input into a risk assessment function preconfigured for resting ECG detection to obtain a current overall risk assessment score.

[0112] In one embodiment, the expression of the risk assessment function preconfigured for resting ECG detection is as follows:

[0113]

[0114] 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 the 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:

[0115]

[0116]

[0117] in, is the current target high frequency morphological index, is the current target RMS voltage, It is microvolt.

[0118] 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.

[0119] 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; 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 based on 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 lead number, the second target lead number, the current target high-frequency morphology index and the current target root mean square voltage; the first target lead number 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 lead number 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; 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 based on the current exercise ECG signal; the current exercise reference characteristics are determined based on the current high-frequency QRS waveform curve, age and current maximum heart rate; the current exercise reference characteristics include 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 downward and upward repeated fluctuation trend within the 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 based on the current resting reference characteristics and the current exercise reference characteristics.

[0120] The current exercise ECG signal is the ECG signal collected during the first stage of stress exercise ECG testing. The stress exercise ECG testing process includes multiple stages, which can specifically include three stages in sequence: resting stage, exercise stage, and recovery stage. The current exercise ECG signal includes the ECG signals of each stage. The division of stages is not limited to this and can be specifically divided according to actual conditions. The current maximum heart rate refers to the maximum heart rate of the subject during the entire stress exercise ECG testing process in the first stage. The current number of exercise positive leads refers to the number of exercise leads where the corresponding lead positive indicator indicates a positive result, which can be used to assess the risk of myocardial ischemia in the first stage of stress exercise. The two are positively correlated. The current number of critical exercise leads refers to the number of exercise leads where the corresponding lead positive indicator indicates a critical result, which can be used to assess the critical risk of myocardial ischemia in the first stage of stress exercise. Combining this reference feature can more accurately assess the myocardial ischemia in the first stage of stress exercise.

[0121] The lead positive indicator indicates positive, 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 threshold, second relative threshold, third relative threshold, fourth relative threshold, fifth relative threshold, preset absolute threshold, and preset age are customized based on actual conditions, for example, 55%, 40%, 60%, 50%, 40%, 1uV (microvolt), and 50 years old, respectively. The target heart rate is determined based on the subject's age, for example, target heart rate = (220 - subject's age) × 85%.

[0122] The lead positive indicator is critical, which is used to indicate 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 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 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 relative value of the first amplitude decrease 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 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.

[0123] The second relative amplitude decrease value is used to characterize the slope or steepness of the high-frequency QRS waveform within the second time period. If the second relative amplitude decrease value exceeds the second relative value threshold, it indicates that the slope or steepness of the decline is sufficiently large, indicating the possibility of coronary artery stenosis. The first relative amplitude decrease value can be understood as the relative value of the amplitude decrease of the high-frequency QRS waveform within the first time period, and the second relative amplitude decrease value can be understood as the relative value of the amplitude decrease of the high-frequency QRS waveform within the second time period. The first time period includes a period before exercise, during exercise, and after exercise. The period before exercise is in the resting phase, the period during exercise includes the entire exercise phase, and the period after exercise is in the recovery phase. The period before exercise, during exercise, and after exercise are continuous time periods. The second time period includes a period before exercise and a period during exercise, or the second time period includes a period during exercise. The period before exercise and a period during exercise are continuous time periods. The period during exercise can be customized according to actual conditions, such as the first 3 minutes of exercise. The first time period can specifically include the second time period, which means that the second time period is a subinterval of the first time period.

[0124] 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 based on 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 time sequence 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 sequence to obtain corresponding high-frequency QRS wave group data (high-frequency band data of the QRS wave group), and the root mean square of the high-frequency QRS wave group data is calculated 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 time sequence 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 the 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 time sequence, it refers to the order of detection time according to the acquisition time of the signal / 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.

[0125] Furthermore, a point with the maximum RMS voltage on the current high-frequency QRS waveform within the first time period is selected as a first reference point, and a point on the current high-frequency QRS waveform within the first time period that is later than the first reference point and has the minimum RMS voltage is selected as a second reference point. The RMS voltage of the first reference point is subtracted from the RMS voltage of the second reference point to obtain a first absolute value of amplitude decrease, and the ratio of the first absolute value of amplitude decrease to the RMS voltage of the first reference point is determined as a first relative value of amplitude decrease. Motion leads with corresponding first relative value of amplitude decrease greater than or equal to the first relative value threshold are screened and counted to obtain a third target number of leads. A lead-positive index for the current high-frequency QRS waveform is determined based on the first relative value of amplitude decrease, the first absolute value of amplitude decrease, the subject's age, and the maximum heart rate, as the lead-positive index corresponding to the corresponding motion lead. Motion leads with positive indications from the lead-positive index are screened and counted to obtain the current number of motion-positive leads, and motion leads with critical indications from the lead-positive index are screened and counted to obtain the current number of motion-critical leads. 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.

[0126] The point with the lowest root mean square voltage on the current high-frequency QRS waveform curve within the second time period is selected as the third reference point. The point on the current high-frequency QRS waveform curve within the second time period that is earlier than the third reference point and has the highest root mean square voltage is selected as the fourth reference point. 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 absolute value of the second amplitude decrease within the second time period. 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 relative amplitude decrease value. The number of motion leads whose corresponding second relative amplitude decrease values ​​are greater than or equal to the second relative value threshold is screened and counted to obtain the fifth target lead number.

[0127] Furthermore, 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 exercise reference feature is input into a risk assessment function or risk assessment model preconfigured for stress exercise 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.

[0128] In one embodiment, the current high-frequency QRS waveform curve exhibits a trend of repeated downward and upward fluctuations within the first time period, which means that the current high-frequency QRS waveform curve exhibits a downward trend a total of two or more times within the first time period, and the upward and downward trends alternate. For example, the current high-frequency QRS waveform curve exhibits a "W" or "inverted N" waveform within the first time period.

[0129] In one embodiment, the expression of the risk assessment function preconfigured for resting ECG detection is as follows:

[0130]

[0131] 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.

[0132] In one embodiment, the expression of the risk assessment function preconfigured for stress exercise ECG detection is as follows:

[0133]

[0134] in, is the second current overall risk assessment sub-score, is the number of current motion critical 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:

[0135]

[0136]

[0137] In one embodiment, the expression for determining the current overall risk assessment score based on the current ECG data is as follows:

[0138]

[0139] in, is the current overall risk assessment score, is the first current overall risk assessment sub-score, It is the second current overall risk assessment sub-score.

[0140] 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 age of the subject, 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 age of the subject, 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.

[0141] In one embodiment, 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.

[0142] 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 a 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 a 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 a 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.

[0143] In one embodiment, the risk assessment function for the combined configuration of resting ECG detection and stress exercise ECG detection is expressed as follows:

[0144]

[0145] in, is the third current overall risk assessment sub-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 additional score determined based on the current target high frequency morphology index, is the number of current motion critical 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.

[0146] 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:

[0147]

[0148] 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.

[0149] In the above embodiment, on the basis of 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 also combined to more accurately evaluate the current overall risk assessment score, so as to further obtain more accurate rehabilitation guidance reference indicators for the doctor's reference, so that the doctor 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.

[0150] 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 the current overall risk assessment score, the autonomic nerve control assessment score, and the cardiac function assessment score.

[0151] 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 historical overall risk assessment level is subtracted from the current overall risk assessment level to obtain the level difference, 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.

[0152] For example, taking 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 as six levels, from level 1 to level 6, each level is pre-configured with a corresponding preset score interval, namely [0, 10], [11, 30], [31, 50], [51, 60], [61, 70], and greater than or equal to 71. These 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. Alternatively, if the historical overall risk assessment level is determined to be level 6 and the current overall risk assessment level is determined to be level 3, the overall risk change index can be determined as 3*10=30. If the autonomic nervous system assessment score is 30 and the cardiac function assessment score is 10, the target risk assessment score is 46*0.5+30+10=63, and the target risk assessment level is determined to be level 5. It is understandable 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.

[0153] 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, autonomic nerve control assessment score and 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 clinical symptoms, and thus provide further rehabilitation guidance reference suggestions.

[0154] As shown in FIG2 , in one embodiment, a method for analyzing electrocardiogram data is provided, which specifically includes the following steps:

[0155] 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.

[0156] S204: 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.

[0157] 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.

[0158] S208, determining the autonomic nerve dominance evaluation index and the cardiac function evaluation index based on 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 QRS duration and the current high-frequency morphology index corresponding to each resting lead, and also includes at least one of the current number of resting positive leads and the arrhythmia evaluation index.

[0159] S210 , determining an autonomic nerve control assessment score according to a ratio of the average voltage of the limb leads to the average voltage of the chest leads.

[0160] S212: Determine a coefficient based on the QRS duration and a score for the corresponding resting lead based on the current high-frequency morphology index.

[0161] S214: Determine a first cardiac function assessment sub-score according to the product of the sum of the scores and the coefficient.

[0162] S216, determining a cardiac function assessment subscore based on 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 an arrhythmia assessment index.

[0163] S218, obtaining the subject's corresponding historical overall risk assessment score in the second stage; the historical overall risk assessment score is determined by the historical ECG data corresponding to the target ECG test.

[0164] S220, determining an overall risk change indicator based on the current overall risk assessment score and the historical overall risk assessment scores.

[0165] S222. 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; the rehabilitation guidance reference indicators include the overall risk change indicator and the target risk assessment level.

[0166] 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 nerve 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.

[0167] In one embodiment, after obtaining 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 characteristics based on the historical high-frequency QRS envelope curve and age; the historical resting 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 minimum value of the historical root mean square voltage corresponding to each resting lead; and the historical overall risk assessment score is determined based on the historical resting reference characteristics.

[0168] In one embodiment, if the target ECG detection includes resting ECG detection and stress 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 based on 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 maximum value of the historical high-frequency morphology index corresponding to 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 based on the historical exercise ECG signal; the historical exercise reference characteristics are determined based on 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 downward and upward repeated fluctuation trend 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 based on the historical rest reference characteristics and the historical exercise reference characteristics.

[0169] 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.

[0170] It should be understood that although the various steps in the flowcharts of Figures 1 and 2 are shown in sequence as indicated by the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be performed in other orders. Moreover, at least a portion of the steps in Figures 1 and 2 may include multiple steps or multiple stages, and these steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily to be performed in sequence, but can be performed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0171] 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:

[0172] An acquisition module 301 is configured to acquire current ECG data corresponding to the target ECG detection collected in the first phase; the current ECG data at least includes a current resting ECG signal;

[0173] An analysis module 302 is 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;

[0174] The analysis module 302 is further configured to analyze the current resting ECG signal to obtain an autonomic nerve control assessment score and a cardiac function assessment score;

[0175] The acquisition module 301 is further configured to acquire the subject's corresponding historical overall risk assessment score in the second stage; the historical overall risk assessment score is determined by the historical ECG data corresponding to the target ECG test;

[0176] The evaluation module 303 is used to determine rehabilitation guidance reference indicators based on the current overall risk assessment score, historical overall risk assessment scores, autonomic nerve control assessment scores and cardiac function assessment scores; the rehabilitation guidance reference indicators include overall risk change indicators and target risk assessment levels.

[0177] In one embodiment, the analysis module 302 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 and a cardiac function evaluation index based on the current high-frequency QRS envelope curve; determine an autonomic nerve evaluation score based on the autonomic nerve evaluation index; and determine a cardiac function evaluation score based on the cardiac function evaluation index.

[0178] In one embodiment, the autonomic nerve dominance assessment index includes the average voltage of limb leads and the average voltage of chest leads; the analysis module 302 is further configured to determine the autonomic nerve dominance assessment score based on the ratio of the average voltage of limb leads to the average voltage of chest leads.

[0179] 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 further used to determine the coefficient based on the QRS duration, and determine the score of the corresponding resting lead based on the current high-frequency morphology index; and determine the cardiac function assessment score based on the product of the sum of the scores and the coefficient.

[0180] 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.

[0181] In one embodiment, if the target ECG detection includes 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 complex 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 the current overall risk assessment score is determined based on the current resting reference feature.

[0182] 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 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 characteristics based on the current high-frequency QRS envelope curve and age; the current rest reference characteristics include 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 complex 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 based on the current exercise ECG signal; the current exercise reference feature is determined based on the current high-frequency QRS waveform curve, age and 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 downward and upward repeated fluctuation trend within the 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 based on the current resting reference feature and the current exercise reference feature.

[0183] In one embodiment, the analysis module 302 is further 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.

[0184] In one embodiment, the evaluation module 303 is further used to determine an overall risk change index based on the current overall risk assessment score and the historical overall risk assessment score; and to determine a 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.

[0185] The specific definition of the ECG data analysis device can be found in the definition of the ECG data analysis method above and will not be repeated here. The various modules in the above-mentioned ECG data analysis device can be implemented in whole or in part through software, hardware, or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of the processor of the computer device in hardware form, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the corresponding operations of each of the above modules.

[0186] 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, computer-readable instructions, and a database. The internal memory provides an environment for the operation of the operating system and 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 scores 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 instructions are executed by the processor, an ECG data analysis method is implemented.

[0187] Those skilled in the art will understand that the structure shown in FIG4 is merely a block diagram of a portion of the 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.

[0188] In one embodiment, 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.

[0189] In one embodiment, 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.

[0190] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing the relevant hardware through computer-readable instructions. The computer-readable instructions can be stored in a non-volatile computer-readable storage medium. When executed, the computer-readable instructions can include the processes of the above-described method embodiments. Any reference to memory, storage, database, or other media used in the various embodiments provided herein 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 storage. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0191] The technical features of the above embodiments can 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.

[0192] The above embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art could make various modifications and improvements without departing from the spirit of the present application, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.

Claims

1. A method for analyzing electrocardiogram data, characterized in that: The method comprises: 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; 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; Analyzing the current resting ECG signal to obtain an autonomic nerve control assessment score and a cardiac function assessment score; 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; 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; The current resting ECG signal is analyzed to obtain an autonomic nerve control assessment score, including: Analyzing the high-frequency components of the QRS complex in the current resting electrocardiogram signal to obtain a current high-frequency QRS envelope curve; 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; 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; 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: Determining an overall risk change indicator based on the current overall risk assessment score and the historical overall risk assessment score; 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.

2. The method according to claim 1, characterized in that Analyzing the current resting ECG signal to obtain a cardiac function assessment score includes: Determining a cardiac function evaluation index according to the current high-frequency QRS envelope curve; A cardiac function assessment score is determined according to the cardiac function assessment index.

3. The method according to claim 2, characterized in that The cardiac function evaluation index includes the QRS duration and the current high frequency morphology index corresponding to each resting lead; and determining the cardiac function evaluation score according to the cardiac function evaluation index includes: Determine the coefficient according to the QRS duration and the score of the corresponding rest lead according to the current high frequency morphology index; The cardiac function assessment score is determined according to the product of the sum of the scores and the coefficient.

4. The method according to claim 3, 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; the cardiac function assessment score is determined according to the product of the sum of the scores and the coefficient, including: Determine a first cardiac function assessment sub-score according to the product of the sum of the scores and the coefficient; 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.

5. 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; 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: Analyzing the high-frequency components of the QRS complex in the current resting electrocardiogram signal to obtain a current high-frequency QRS envelope curve; 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.

6. The method according to claim 1, characterized in that 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: Analyzing the high-frequency components of the QRS complex in the current resting electrocardiogram signal to obtain a current high-frequency QRS envelope curve; 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; Analyze the high-frequency components of the QRS complex in the current exercise electrocardiogram signal to obtain a current high-frequency QRS waveform curve; Determine the current maximum heart rate of the subject according to the current exercise electrocardiogram signal; 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.

7. The method according to claim 6, characterized in that The 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.

8. An electrocardiogram data analysis device, characterized in that: The device comprises: 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, 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; 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; 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.

9. A computer device comprising a memory and a processor, wherein the memory stores computer-readable instructions, characterized in that: When the processor executes the computer-readable instructions, the steps of the method according to any one of claims 1 to 7 are implemented.

10. 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 according to any one of claims 1 to 7 are implemented.

Images