Method, apparatus, computer device, and storage medium for analyzing high-frequency QRS waveform data

The method analyzes high-frequency QRS waveform data from exercise electrocardiograms to assess coronary artery vasoreactivity, addressing the trade-off between invasiveness and accuracy in existing methods, offering a precise non-invasive evaluation of heart health.

JP2025520656AActive Publication Date: 2025-07-03BISHENGPU BIOTECHNOLOGY CO LTD
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Patent Information

Application Number
JP2024575264
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Priority Date
2022-06-21
Filing Date
2023-05-11
Publication Date
2025-07-03
Estimated Expiration
2043-05-11

AI Technical Summary

Technical Problem

Existing methods for evaluating coronary artery vasoreactivity are either invasive, causing physical harm, or non-invasive but lack accuracy.

Method used

A method for analyzing high-frequency QRS waveform data from exercise electrocardiograms to determine vascular response ability by identifying specific reference points and screening waveform data based on predetermined thresholds, calculating voltage differences and ratios to assess coronary artery reactivity.

Benefits of technology

Accurately evaluates coronary artery vasoreactivity non-invasively, providing a precise indicator for heart health status through a comprehensive analysis of high-frequency QRS waveform data.

✦ Generated by Eureka AI based on patent content.

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Abstract

A method, apparatus, computer device, and storage medium for analyzing high-frequency QRS waveform data. The high-frequency QRS waveform data analysis method includes steps of: obtaining high-frequency QRS waveform data; selecting first reference waveform data within a first time zone; determining a first reference point based on a point with the smallest root mean square voltage in the first reference waveform data, and determining a second reference point based on a point with the largest root mean square voltage where the time is earlier than the first reference point (step S106); determining a first amplitude decrease relative value based on the first reference point and the second reference point; determining a maximum voltage based on the high-frequency QRS waveform data (step S110); selecting a third reference point with the largest root mean square voltage from within a second time zone, and a fourth reference point with the smallest root mean square voltage where the time is later than the third reference point; determining a voltage difference based on the third reference point and the fourth reference point; screening high-frequency QRS waveform data where the first amplitude decrease relative value is greater than or equal to a first predetermined threshold (step S116); and determining a vascular response ability based on a ratio of the corresponding voltage difference to the maximum voltage.
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Description

Technical Field

[0001] “Cross - reference to Related Applications” This application claims priority to a Chinese patent application filed with the China National Intellectual Property Administration on June 21, 2022, with application number 2022107056854 and application title “Method, Apparatus, Computer Device, and Storage Medium for Analyzing High - Frequency QRS Waveform Data”, and all of its contents are incorporated herein by reference.

[0002] This application relates to the field of medical device technology, and particularly to a method, apparatus, computer device, and storage medium for analyzing high - frequency QRS waveform data.

Background Art

[0003] The coronary artery vasoreactivity can also be referred to as vasoreactivity, can be used to characterize the immediate reactivity of blood vessels to rapid dilation due to blood supply, and can be provided for physicians' reference as one of the indicators for evaluating the viability state of cardiomyocytes so that physicians can accurately identify the health status of the subject's heart in combination with clinical symptoms and the like. Therefore, how to accurately evaluate vasoreactivity is a problem worthy of attention.

[0004] Currently, it is common to evaluate coronary artery vasoreactivity by invasive methods such as coronary angiography. However, the inventor recognizes that such invasive methods will more or less affect the physical health of the subject. There is also a method of evaluating coronary artery vasoreactivity by analyzing the changes in the ST - T segment in an electrocardiogram (ECG). Although such a non - invasive method does not have an adverse effect on the physical health of the subject, the accuracy of the evaluation is low, and thus there is a problem that non - invasiveness, non - damage, and accuracy cannot be achieved simultaneously.

Summary of the Invention

Problems to be Solved by the Invention

[0005] According to various embodiments disclosed in this application, there are provided a method, apparatus, computer device, and storage medium for analyzing high - frequency QRS waveform data.

Means for Solving the Problem

[0006] A high-frequency QRS waveform data analysis method, the method comprising: obtaining high-frequency QRS waveform data corresponding to exercise electrocardiogram data; selecting high-frequency QRS waveform data within a first time zone as first reference waveform data; determining a first reference point based on a point with the smallest root mean square voltage in the first reference waveform data, and determining a second reference point based on a point with a time earlier than the first reference point and the largest root mean square voltage; determining a first amplitude decrease relative value based on the root mean square voltage of each of the first reference point and the second reference point; determining a maximum voltage based on the high-frequency QRS waveform data; selecting a point with the largest root mean square voltage from high-frequency QRS waveform data within a second time zone as a third reference point, and setting a point with a time later than the third reference point and the smallest root mean square voltage as a fourth reference point; determining a voltage difference based on the root mean square voltage of each of the third reference point and the fourth reference point; screening high-frequency QRS waveform data with a first amplitude decrease relative value greater than or equal to a first predetermined threshold; determining a vascular response ability based on a ratio between the voltage difference and the maximum voltage corresponding to the screened high-frequency QRS waveform data.

[0007] In one embodiment thereof, the step of screening high-frequency QRS waveform data with a first amplitude decrease relative value greater than or equal to a first predetermined threshold includes: screening high-frequency QRS waveform data with corresponding waveform types being a first type, a second type, and a third type. The waveform characteristics of the first type include that the relative value of the first amplitude decrease is equal to or greater than a first predetermined threshold value, and the relative value of the first amplitude increase is equal to or greater than a second predetermined threshold value. The waveform characteristics of the second type include that the relative value of the first amplitude decrease is equal to or greater than the first predetermined threshold value, the relative value of the second amplitude increase is less than a third predetermined threshold value, and the duration of the second reference waveform data is equal to or greater than a predetermined time threshold value. The waveform characteristics of the third type include that the relative value of the first amplitude decrease is equal to or greater than the first predetermined threshold value, the relative value of the second amplitude increase is equal to or greater than the third predetermined threshold value, and the duration of the second reference waveform data is equal to or greater than the predetermined time threshold value. The step of determining the relative value of the first amplitude increase includes: selecting a fifth reference point whose time is later than the first reference point and that satisfies the screening condition from the first reference waveform data; determining the relative value of the first amplitude increase based on the root mean square voltage of each of the first reference point and the fifth reference point. The step of determining the relative value of the second amplitude increase includes: selecting second reference waveform data whose amplitude fluctuation range is equal to or less than a predetermined fluctuation range from the high-frequency QRS waveform data within the second time period; selecting a point with the largest root mean square voltage from the high-frequency QRS waveform data within the third time period as the sixth reference point; determining the relative value of the second amplitude increase based on the root mean square voltage of each of the end point of the second reference waveform data and the sixth reference point.

[0008] In one embodiment, the step of screening the high-frequency QRS waveform data whose relative value of the first amplitude decrease is equal to or greater than the first predetermined threshold value includes: screening the high-frequency QRS waveform data whose corresponding waveform type is the first type, or screening the high-frequency QRS waveform data whose corresponding waveform type is the second type, or screening the high-frequency QRS waveform data whose corresponding waveform type is the third type. The waveform characteristics of the first type include that the relative value of the first amplitude decrease is equal to or greater than a first predetermined threshold value, and the relative value of the first amplitude increase is equal to or greater than a second predetermined threshold value. The waveform characteristics of the second type include that the relative value of the first amplitude decrease is equal to or greater than the first predetermined threshold value, the relative value of the second amplitude increase is less than a third predetermined threshold value, and the duration of the second reference waveform data is equal to or greater than a predetermined time threshold value. The waveform characteristics of the third type include that the relative value of the first amplitude decrease is equal to or greater than the first predetermined threshold value, the relative value of the second amplitude increase is equal to or greater than the third predetermined threshold value, and the duration of the second reference waveform data is equal to or greater than the predetermined time threshold value. The step of determining the relative value of the first amplitude increase includes: selecting a fifth reference point whose time is later than the first reference point and that satisfies the screening condition from the first reference waveform data; determining the relative value of the first amplitude increase based on the root mean square voltage of each of the first reference point and the fifth reference point. The step of determining the relative value of the second amplitude increase includes: selecting second reference waveform data with an amplitude fluctuation width equal to or less than a predetermined fluctuation width from the high-frequency QRS waveform data within the second time period; selecting a point with the largest root mean square voltage from the high-frequency QRS waveform data within the third time period as the sixth reference point; determining the relative value of the second amplitude increase based on the root mean square voltage of each of the end point of the second reference waveform data and the sixth reference point.

[0009] In one of the embodiments, the step of determining the vascular response ability based on the ratio of the voltage difference corresponding to the screened high-frequency QRS waveform data to the maximum voltage includes: determining a reference index including the ratio of the voltage difference to the maximum voltage, and further including at least one of a target relative value of amplitude decrease and the area of the target waveform decrease region, based on the screened high-frequency QRS waveform data; determining the vascular response ability based on the reference index.

[0010] In one of the embodiments, the method further includes: determining a positive number based on high-frequency QRS waveform data corresponding to the exercise electrocardiogram data, The step of determining the vascular response ability based on the ratio of the voltage difference corresponding to the screened high-frequency QRS waveform data to the maximum voltage: the step of determining the vascular response ability based on the ratio of the voltage difference corresponding to the screened high-frequency QRS waveform data to the maximum voltage and the positive number, or, determining a reference index based on the screened high-frequency QRS waveform data, including the ratio of the voltage difference to the maximum voltage, and further including at least one of the relative value of the target amplitude decrease and the area of the target waveform decrease region, and determining the vascular response ability based on the reference index and the positive number.

[0011] A high-frequency QRS waveform data analysis device, the device includes: an acquisition module for acquiring high-frequency QRS waveform data corresponding to exercise electrocardiogram data, a selection module for selecting high-frequency QRS waveform data within a first time period as first reference waveform data, The selection module is further used to determine a first reference point based on the point with the smallest root mean square voltage in the first reference waveform data, and determine a second reference point based on the point where the time is earlier than the first reference point and the root mean square voltage is the largest, an index determination module for determining a first relative amplitude decrease value based on the root mean square voltage of each of the first reference point and the second reference point, The index determination module is further used to determine the maximum voltage based on the high-frequency QRS waveform data, The selection module is used to select the point with the largest root mean square voltage from the high-frequency QRS waveform data within a second time period as a third reference point, and the point where the time is later than the third reference point and the root mean square voltage is the smallest as a fourth reference point. The index determination module is further used to determine a voltage difference based on the root mean square voltage of each of the third reference point and the fourth reference point. A screening module for screening high-frequency QRS waveform data in which a first amplitude decrease relative value is greater than or equal to a first predetermined threshold; An index determination module for determining a vascular response ability based on a ratio between a voltage difference corresponding to the screened high-frequency QRS waveform data and a maximum voltage.

[0012] In one embodiment, the screening module is further used to screen high-frequency QRS waveform data in which the corresponding waveform types are a first type, a second type, and a third type. The waveform characteristics of the first type include that the first amplitude decrease relative value is greater than or equal to the first predetermined threshold and the first amplitude increase relative value is greater than or equal to the second predetermined threshold. The waveform characteristics of the second type include that the first amplitude decrease relative value is greater than or equal to the first predetermined threshold, the second amplitude increase relative value is less than the third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to a predetermined time threshold. The waveform characteristics of the third type include that the first amplitude decrease relative value is greater than or equal to the first predetermined threshold, the second amplitude increase relative value is greater than or equal to the third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to the predetermined time threshold. The selection module is further used to select a fifth reference point whose time is later than the first reference point and that satisfies the screening condition from the first reference waveform data. The index determination module is further used to determine a first amplitude increase relative value based on the root mean square voltage of each of the first reference point and the fifth reference point. The selection module is further used to select second reference waveform data whose amplitude fluctuation range is less than or equal to a predetermined fluctuation range from the high-frequency QRS waveform data within the second time zone, and to select a point with the largest root mean square voltage from the high-frequency QRS waveform data within the third time zone as the sixth reference point. The index determination module is further used to determine a second amplitude increase relative value based on the root mean square voltage of each of the end point of the second reference waveform data and the sixth reference point.

[0013] In one of the embodiments, the screening module is further used to screen high-frequency QRS waveform data whose corresponding waveform type is the first type, or screen high-frequency QRS waveform data whose corresponding waveform type is the second type, or screen high-frequency QRS waveform data whose corresponding waveform type is the third type. The waveform characteristics of the first type include that the first amplitude decrease relative value is greater than or equal to a first predetermined threshold, and the first amplitude increase relative value is greater than or equal to a second predetermined threshold. The waveform characteristics of the second type include that the first amplitude decrease relative value is greater than or equal to the first predetermined threshold, the second amplitude increase relative value is less than a third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to a predetermined time threshold. The waveform characteristics of the third type include that the first amplitude decrease relative value is greater than or equal to the first predetermined threshold, the second amplitude increase relative value is greater than or equal to the third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to the predetermined time threshold. The selection module is further used to select a fifth reference point whose time is later than the first reference point and that satisfies the screening condition from the first reference waveform data. The index determination module is further used to determine a first amplitude increase relative value based on the root mean square voltage of each of the first reference point and the fifth reference point. The selection module is further used to select second reference waveform data whose amplitude fluctuation range is less than or equal to a predetermined fluctuation range from the high-frequency QRS waveform data within the second time period, and select a point with the largest root mean square voltage from the high-frequency QRS waveform data within the third time period as the sixth reference point. The index determination module is further used to determine a second amplitude increase relative value based on the root mean square voltage of each of the end point of the second reference waveform data and the sixth reference point.

[0014] In one embodiment, the index determination module further determines a reference index including a ratio of a voltage difference to a maximum voltage based on the screened high-frequency QRS waveform data, and further including at least one of a relative target amplitude decrease value and an area of a target waveform decrease region, and is used to determine the vascular response ability based on the reference index.

[0015] In one embodiment, the index determination module further determines a positive number based on the high-frequency QRS waveform data corresponding to the exercise electrocardiogram data, or determines the vascular response ability based on a ratio of a voltage difference to a maximum voltage corresponding to the screened high-frequency QRS waveform data and the positive number, or determines a reference index based on the screened high-frequency QRS waveform data, the reference index including a ratio of a voltage difference to a maximum voltage and further including at least one of a relative target amplitude decrease value and an area of a target waveform decrease region, and is used to determine the vascular response ability based on the reference index and the positive number.

[0016] A computer device, including a memory storing computer-readable instructions and a processor, wherein when the computer-readable instructions are executed by the processor, the steps in the embodiments of each method are implemented.

[0017] A computer-readable storage medium storing computer-readable instructions, wherein when the computer-readable instructions are executed by a processor, the steps in the embodiments of each method are implemented.

[0018] Details of one or more embodiments of the present application are described in the following drawings and description. Other features and advantages of the present application will become apparent from the specification, drawings, and claims.

Brief Description of the Drawings

[0019] To more clearly explain the technical solutions of the embodiments of the present application, the drawings necessary for the embodiments will be briefly described below. Obviously, the drawings in the following description are only a part of the embodiments of the present application, and those skilled in the art can obtain other drawings based on these drawings without creative work.

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Modes for Carrying Out the Invention

[0020] To make the technical solutions and advantages of the present application more clear, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described in this specification are only for interpreting the present application and do not limit the present application.

[0021] The high-frequency QRS waveform data analysis method provided in this application may be applied to a terminal, or may be applied to a server. Furthermore, it may be applied to an interaction system including a terminal and a server, and may be realized by the interaction between the terminal and the server. Here, it is not specifically limited. The terminal can be various personal computers, notebook computers, smartphones, tablets, electrocardiogram monitoring devices, and portable wearable devices, but is not limited thereto. The server may be realized by a stand-alone server or a server cluster composed of multiple servers.

[0022] In some embodiments, as shown in FIG. 1, a high-frequency QRS waveform data analysis method is provided, and the case where the method is applied to a server is taken as an example for explanation. Specifically, it includes steps S102 to S118.

[0023] In S102, high-frequency QRS waveform data corresponding to exercise electrocardiogram data is acquired.

[0024] Exercise electrocardiogram data refers to the electrocardiogram data collected during the detection of a stress electrocardiogram. The detection of a stress electrocardiogram is an electrocardiogram detection method that increases the load on the heart with a certain amount of exercise to collect the electrocardiogram data of a subject, and analyzes the heart health status of the subject based on the analysis of the collected electrocardiogram data. It is widely used in the detection of heart diseases and cardiovascular diseases. The exercise electrocardiogram data contains a plurality of QRS complexes, each of which is a set of Q wave, R wave, and S wave in the electrocardiogram, reflecting the changes in the depolarization potential and time on the left and right. Based on the QRS complexes in the exercise electrocardiogram data, the corresponding high-frequency QRS waveform data can be obtained by analysis. The high-frequency QRS waveform data corresponds to a high-frequency QRS waveform curve, and the high-frequency QRS waveform data contains the data of each point on the high-frequency QRS waveform curve (for example, time and root mean square voltage). Thus, based on the high-frequency QRS waveform data, the corresponding high-frequency QRS waveform curve can be determined. The high-frequency QRS waveform data / high-frequency QRS waveform curve is used to characterize the temporal change trend of the root mean square voltage of the high-frequency component of the QRS complex of the subject during the entire detection process of the stress electrocardiogram, that is, it is used to embody the energy change trend during the entire detection process of the stress electrocardiogram. The high-frequency QRS waveform data is shown in a high-frequency QRS waveform diagram. In the high-frequency QRS waveform diagram, the horizontal axis is time, corresponding to the detection time during the detection process of the stress electrocardiogram, with the unit of min (per minute), and the vertical axis is the root mean square voltage (RMS voltage), which can also be understood as intensity or amplitude, with the unit of uV (microvolt).

[0025] Specifically, corresponding exercise electrocardiogram data of the subject in the detection process of the entire exercise electrocardiogram under load is acquired, and the high-frequency components of the QRS complex in the exercise electrocardiogram data are analyzed to obtain corresponding high-frequency QRS waveform data. The exercise electrocardiogram data includes an ECG (electrocardiogram) corresponding to each heartbeat in the detection process of the entire exercise electrocardiogram under load of the subject, and the ECG includes a QRS complex. By means of a window function, the exercise electrocardiogram data is divided into a plurality of electrocardiogram data subsets according to the time series and a predetermined moving step. Each electrocardiogram data subset includes an ECG corresponding to a plurality of heartbeats. For the ECG or QRS complex corresponding to the plurality of heartbeats included in each electrocardiogram data subset, alignment, averaging, and band-pass filtering are sequentially performed to obtain a corresponding high-frequency QRS complex (high-frequency band of the QRS complex), the root mean square of the squares of the high-frequency QRS complex is obtained, a corresponding root mean square voltage is obtained, and it is used as the root mean square voltage / intensity / amplitude corresponding to the electrocardiogram data subset. Based on the root mean square voltage corresponding to each electrocardiogram data subset and the corresponding time, corresponding high-frequency QRS waveform data is acquired, and curve smoothing is performed on each root mean square voltage in the high-frequency QRS waveform data in time series order to obtain a corresponding high-frequency QRS waveform curve. Alternatively, curve smoothing is performed on the root mean square voltage corresponding to each electrocardiogram data subset in time series order to obtain a corresponding high-frequency QRS waveform curve, and corresponding high-frequency QRS waveform data is obtained based on the time and root mean square voltage of each point on the high-frequency QRS waveform curve.

[0026] The window length and the predetermined 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 predetermined moving step is set to 10 seconds or one heartbeat cycle. One heartbeat cycle refers to the time interval between two adjacent heartbeats. Here, it can be understood that it is not specifically limited. The term "in time series order" refers to the order according to the signal collection time / detection time when the detection process of the exercise electrocardiogram under load progresses.

[0027] In some embodiments, the detection process of the stress exercise electrocardiogram includes multiple stages. Specifically, three stages, such as the resting stage, the exercise stage, and the recovery stage, are sequentially included, and the exercise electrocardiogram data includes the electrocardiogram data of each stage. The division of the stages is not limited to this. Specifically, it can be understood that it can be divided according to the actual situation.

[0028] In some embodiments, in the detection process of the stress exercise electrocardiogram, 10 electrode sheets arranged on a person's chest and limbs are used to form 12 electrocardiogram leads (for example, V1, V2, V3, V4, V5, V6, I, II, III, aVL, aVF, and aVR), and correspondingly 12 sets of electrocardiogram data are output to obtain the exercise electrocardiogram data corresponding to the entire detection process of the stress exercise electrocardiogram. The 10 electrode sheets are only examples and do not specifically limit the number of electrode sheets. Specifically, it can be dynamically determined according to actual needs. For example, it can be understood that there can be more or fewer electrode sheets. Thereby, the exercise electrocardiogram data includes the electrocardiogram data corresponding to at least one electrocardiogram lead. By analyzing the high-frequency components of the QRS complex in the electrocardiogram data corresponding to each electrocardiogram lead respectively, the high-frequency QRS waveform data corresponding to each electrocardiogram lead is obtained.

[0029] In S104, the high-frequency QRS waveform data within the first time zone is selected as the first reference waveform data.

[0030] The first time period may be a time interval determined by a predetermined start time point and an end time point, or may be a time interval determined by a predetermined start time point and a predetermined time. Specifically, the first time period may include a certain period before exercise and a certain period during exercise, or may include a certain period during exercise. The certain period before exercise is in a resting stage, and the certain period during exercise is in an exercise stage. For example, it is a certain period after the start of exercise. Taking the time range corresponding to the exercise stage in the high-frequency QRS waveform curve being 3 to 9 minutes as an example, the first time period is, for example, a time interval characterized by [1 minute and 20 seconds, 6 minutes]. The first time period includes 100 seconds before exercise and the first 3 minutes during exercise. The first time period is further a time interval characterized by [3 minutes, 6 minutes], and the first time period includes the first 3 minutes during exercise. It can be understood that the examples given above are only for illustration and are not specifically limited. The first reference waveform data is the data in the high-frequency QRS waveform data whose time is within the first time period. The time of each point in the first reference waveform data is within the first time period. The times of the start point and the end point of the first reference waveform data are the start time point and the end time point of the first time period, respectively. The start point of the first reference waveform data refers to the point with the earliest time in the first reference waveform data, that is, the first point in the first reference waveform data when sorted in chronological order. The definition of the end point is the same, and the detailed description is omitted here.

[0031] In S106, a first reference point is determined based on the point with the smallest root mean square voltage in the first reference waveform data, and a second reference point is determined based on the point with the earliest time and the largest root mean square voltage before the first reference point.

[0032] Specifically, the position of each point in the first reference waveform data is determined by the time of the point and the root mean square voltage. The root mean square voltages of the points in the first reference waveform data are traversed in time series order, and the point with the smallest root mean square voltage is screened from the first reference waveform data based on the traversed root mean square voltages. The first reference point is determined based on the point with the smallest root mean square voltage. Points in the first reference waveform data where the time is earlier / smaller than the time of the first reference point and the root mean square voltage is the largest are screened, and the second reference point is determined based on the point with the largest root mean square voltage.

[0033] In some embodiments, the point with the smallest screened root mean square voltage is used as the first reference point, or the point with the smallest root mean square voltage is corrected based on a preset first correction coefficient, and the point obtained by the correction is used as the first reference point. The point where the screened time is earlier than the first reference point and the root mean square voltage is the largest is used as the second reference point, or the point with the largest root mean square voltage is corrected based on a preset second correction coefficient, and the corrected point is used as the second reference point.

[0034] Specifically, the root mean square voltage corresponding to the point with the smallest root mean square voltage is corrected by a preset first correction coefficient to obtain a corrected root mean square voltage, and a point in the first reference waveform data where the root mean square voltage matches the corrected root mean square voltage is selected as the first reference point. Similarly, a second reference point is determined based on the second correction coefficient and the point with the largest screened root mean square voltage. Here, a detailed description is omitted. When there are multiple points in the first reference waveform data where the root mean square voltage matches the corrected root mean square voltage, any one of them can be selected as the corresponding reference point, but it can be understood that the condition that the time of the second reference point is earlier than the time of the first reference point needs to be satisfied. The first correction coefficient and the second correction coefficient can specifically be customized or dynamically determined based on the user image of the subject. Specifically, it may be a function determined based on the user image. The first correction coefficient is greater than 1, and the second correction coefficient is less than 1. The user image includes at least one of the subject's age, gender, weight, clinical symptoms, lifestyle, etc.

[0035] In S108, a first amplitude decrease relative value is determined based on the root mean square voltage of each of the first reference point and the second reference point.

[0036] Specifically, based on the first reference waveform data, the root mean square voltage of each of the first reference point and the second reference point is obtained respectively, the difference between the root mean square voltage of the second reference point and the root mean square voltage of the first reference point is calculated to obtain a first amplitude decrease absolute value, and the ratio of the first amplitude decrease absolute value to the root mean square voltage of the second reference point is determined as the first amplitude decrease relative value.

[0037] In S110, a maximum voltage is determined based on the high-frequency QRS waveform data.

[0038] The maximum voltage can be understood as the maximum power and can be used to reflect the maximum cardiac pump function of the subject. Specifically, the maximum value of the root mean square voltage is obtained from the high-frequency QRS waveform data as the target voltage, and based on the target voltage, the corresponding maximum voltage is determined. The target voltage may be determined as the maximum voltage, or the target voltage may be corrected by a preset third correction coefficient to obtain the maximum voltage. The third correction coefficient can be customized according to the actual situation. For example, when the sum of the third correction coefficient and the target voltage is taken as the maximum voltage, the third correction coefficient can be set to 1 μV (microvolt), and when the product of the third correction coefficient and the target voltage is taken as the maximum voltage, the third correction coefficient can be set to 1.2. It can be understood that the maximum voltage can be obtained by rounding up the target voltage or the target voltage corrected by the third correction coefficient. For example, when the target voltage or the target voltage corrected by the third correction coefficient is 9.6 μV, the maximum voltage can be determined to be 10 μV by the rounding-up operation. The third correction coefficient and the correction method of the target voltage are not specifically limited here.

[0039] In some embodiments, for one subject, when there is one electrocardiogram lead, the maximum value of the root mean square voltage is obtained from the high-frequency QRS waveform data corresponding to this electrocardiogram lead as the target voltage. When there are more than one electrocardiogram leads (multiple leads), the maximum values of the root mean square voltage are respectively obtained from the high-frequency QRS waveform data corresponding to each electrocardiogram lead, the maximum values of each root mean square voltage are compared, and based on the comparison, the maximum root mean square voltage is screened as the target voltage. In this way, the maximum voltage is determined based on the target voltage.

[0040] In some embodiments, the high-frequency QRS waveform data corresponding to each electrocardiogram lead not only includes the data of each point on the corresponding high-frequency QRS waveform curve, but also includes the maximum voltage determined according to one or more embodiments of the present application.

[0041] In S112, select the point with the largest root mean square voltage from the high-frequency QRS waveform data within the second time period as the third reference point, and set the point that is later in time than the third reference point and has the smallest root mean square voltage as the fourth reference point.

[0042] Specifically, the second time period includes, specifically, a certain period before exercise, the entire period during exercise, and a certain period after exercise. The certain period before exercise is in a resting stage, the entire period during exercise is included during exercise, and the certain period after exercise is in a recovery stage. The certain period before exercise, the period during exercise, and the certain period after exercise are sequentially continuous time periods. Taking the time range corresponding to the exercise stage in the high-frequency QRS waveform data as an example of 3 to 9 minutes, the second time period is, for example, a time interval characterized by [1 minute 20 seconds, 9 minutes 20 seconds], starting from the point of 1 minute 20 seconds and ending at the point of 9 minutes 20 seconds. This second time period includes 100 seconds before exercise, 6 minutes during exercise, and 20 seconds after exercise. The second time period includes the first time period, and the start point of the second time period may be the same as the start point of the first time period.

[0043] Specifically, traverse the root mean square voltage of each point within the second time period in the high-frequency QRS waveform data, and based on the traversed root mean square voltage, screen the point with the largest root mean square voltage from the high-frequency QRS waveform data within the second time period as the third reference point, and set the point that is later in time than the time of the third reference point and has the smallest root mean square voltage as the fourth reference point.

[0044] In some embodiments, the third reference point may be the same point as the second reference point, specifically determined by the corresponding high-frequency QRS waveform data. If there are multiple points with the largest root mean square voltage in the high-frequency QRS waveform data within the second time period, screen the point with the earliest time from the multiple points with the largest root mean square voltage as the third reference point.

[0045] In S114, determine the voltage difference based on the root mean square voltage of each of the third reference point and the fourth reference point.

[0046] Specifically, the root mean square voltage of the third reference point and the difference between the root mean square voltage of the corresponding fourth reference point are obtained to obtain the voltage difference corresponding to the corresponding high-frequency QRS waveform data. The voltage difference can be understood as the absolute value of the amplitude decrease, and specifically, it can be understood that it can be the absolute value of the second amplitude decrease in one or more embodiments of the present application.

[0047] In some embodiments, FIG. 2 provides a schematic diagram for selecting each reference point based on high-frequency QRS waveform data. As shown in FIG. 2, a high-frequency QRS waveform curve determined based on high-frequency QRS waveform data corresponding to electrocardiogram lead II is shown in the high-frequency QRS waveform diagram. The horizontal axis is time, with the unit being per minute, and the vertical axis is the root mean square voltage / amplitude, with the unit being microvolts. The time range corresponding to the exercise stage in the high-frequency QRS waveform data is 0 to 6 minutes. The first time zone is a time interval corresponding to [100 seconds before 0, 3 minutes], and the second time zone is a time interval corresponding to [100 seconds before 0, 6 minutes and 20 seconds]. The first reference waveform data includes data within the first time zone in the high-frequency QRS waveform data. The first reference point is the point with the smallest root mean square voltage in the first reference waveform data. The second reference point is the point in the first reference waveform data where the time is earlier than the first reference point and the root mean square voltage is the largest. The third reference point is the point with the largest root mean square voltage within the second time zone. The fourth reference point is the point within the second time zone where the time is later than the third reference point and the root mean square voltage is the smallest. In this embodiment, the third reference point and the second reference point may be the same point, and the fourth reference point and the first reference point may be the same point. The maximum voltage is 12 uV (the maximum value of the vertical axis shown / displayed in the high-frequency QRS waveform diagram). The voltage difference (the absolute value of the second amplitude decrease) determined based on the third reference point and the fourth reference point is 4.8 uV, and the relative value of the second amplitude decrease is 53%. It can be understood that the high-frequency QRS waveform data shown in FIG. 2, the corresponding selected reference points, and the selection of the first reference point and the second reference point are only examples and are not for specific limitation.

[0048] In S116, high-frequency QRS waveform data with a first amplitude decrease relative value greater than or equal to a first predetermined threshold is screened.

[0049] The first predetermined threshold may be customized based on empirical values, customized to 40%, or dynamically determined based on the user image of the subject. The user image includes at least one of parameters such as age, weight, gender, and load level, and is not specifically limited here.

[0050] Specifically, for one subject, high-frequency QRS waveform data with a first amplitude decrease relative value greater than or equal to the first predetermined threshold is screened from each high-frequency QRS waveform data corresponding to the exercise electrocardiogram data, thereby facilitating the determination of the vascular response ability based on the screened high-frequency QRS waveform data.

[0051] In some embodiments, when the first time period includes a certain period before exercise and a certain period during exercise, high-frequency QRS waveform data with a first amplitude decrease relative value greater than or equal to the first predetermined threshold and a time interval between the first reference point and the second reference point less than or equal to a predetermined time interval is screened. Thereby, it becomes easy to determine a reference index including the ratio of the voltage difference to the maximum voltage or the ratio of the voltage difference to the maximum voltage based on the screened high-frequency QRS waveform data for further determination of the vascular response ability. The predetermined time interval can be customized according to the actual situation, for example, 3 minutes.

[0052] In some embodiments, when the first amplitude decrease relative value corresponding to each high-frequency QRS waveform data corresponding to the exercise electrocardiogram data is all less than the first predetermined threshold, there is no need to further determine the corresponding vascular response ability, and each high-frequency QRS waveform data is output for the reference of the doctor. It can be understood that when determining and outputting the vascular response ability, each high-frequency QRS waveform data can be output synchronously for the reference of the doctor.

[0053] In S118, the vascular response ability is determined based on the ratio of the voltage difference corresponding to the screened high-frequency QRS waveform data to the maximum voltage.

[0054] The vascular response ability characterizes the difference in coronary vascular response ability and is used to be provided for doctors' reference, so that doctors can accurately recognize the heart health status based on the vascular response ability and clinical symptoms, and can further provide reference opinions for further diagnosis, treatment or detection.

[0055] Specifically, for each of the screened high-frequency QRS waveform data, the ratio of the voltage difference to the maximum voltage can be determined based on the corresponding voltage difference and the maximum voltage. Furthermore, the vascular response ability can be determined based on the ratio of the voltage difference to the maximum voltage corresponding to each of the screened high-frequency QRS waveform data.

[0056] In some embodiments, the maximum value of the ratio of the voltage difference to the maximum voltage is screened from the ratio of the voltage difference to the maximum voltage corresponding to each of the screened high-frequency QRS waveform data, and the vascular response ability is determined based on the screened ratio of the voltage difference to the maximum voltage. To illustrate with an example, when the ratios of the voltage difference to the maximum voltage corresponding to each of the three screened high-frequency QRS waveform data are 16%, 40% and 52% respectively, the vascular response ability is determined based on 52% (the maximum value of the ratio of the voltage difference to the maximum voltage). It can be understood that the maximum value of the screened ratio of the voltage difference to the maximum voltage can be used as the target ratio of the voltage difference to the maximum voltage.

[0057] In some embodiments, before screening high-frequency QRS waveform data where the relative value of the first amplitude reduction is greater than or equal to the first predetermined threshold, for each piece of high-frequency QRS waveform data corresponding to the exercise electrocardiogram data, the corresponding voltage difference and maximum voltage may be determined respectively. After screening the high-frequency QRS waveform data where the relative value of the first amplitude reduction is greater than or equal to the first predetermined threshold, for each piece of the screened high-frequency QRS waveform data, the corresponding voltage difference and maximum voltage may be determined respectively. For a single piece of high-frequency QRS waveform data, specifically, referring to the method provided in one or more embodiments of the present application, the voltage difference and maximum voltage are determined, and thereby it can be easily understood that based on the voltage difference and maximum voltage, the ratio of the voltage difference to the maximum voltage corresponding to the high-frequency QRS waveform data can be determined.

[0058] In some embodiments, the ratio of the voltage difference to the maximum voltage can reflect the coronary vascular response ability, and the two have a negative correlation. Thereby, the corresponding vascular response ability can be determined based on the ratio of the voltage difference to the maximum voltage. For example, it can be noted that the larger the ratio of the voltage difference to the maximum voltage, the lower or smaller the corresponding vascular response ability (the higher the priority of attention), and it is characterized that the coronary vascular response ability becomes weaker. Specifically, the corresponding vascular response ability is determined based on the ratio threshold interval of the voltage difference to the maximum voltage. As can be seen from the method for determining the ratio of the voltage difference to the maximum voltage provided in one or more embodiments of the present application, the ratio of the voltage difference to the maximum voltage is correlated with the individual differences of the subject, and therefore, the vascular response ability of the subject can be accurately evaluated based on this ratio.

[0059] For example, four ratio threshold intervals from the first ratio threshold interval to the fourth ratio threshold interval with sequentially decreasing reference priority are preset. For example, they are respectively 46% or more, 40% or more and less than 46%, 30% or more and less than 40%, 16% or more and less than 30%. When the ratio of the voltage difference to the maximum voltage is in the first ratio threshold interval, it is annotated that the vascular response ability is at the first level with the highest priority of attention. When the ratio of the voltage difference to the maximum voltage is in the second ratio threshold interval, it is annotated that the vascular response ability is at the second level with the next highest priority of attention, and so on, which will not be enumerated one by one here. When the ratio of the voltage difference to the maximum voltage does not fall into any ratio threshold interval (for example, less than 16%), it may be annotated that the vascular response ability is at the lowest level of priority of attention, or operations related to further determining the vascular response ability based on the ratio of the voltage difference to the maximum voltage may not be performed. It can be understood that the vascular response ability can also be determined based on other reference indicators provided in this application.

[0060] In some embodiments, after screening high-frequency QRS waveform data with a first amplitude reduction relative value greater than or equal to a first predetermined threshold, a reference index is determined based on each screened high-frequency QRS waveform data, and the vascular response ability is determined based on the reference index. The reference index includes the ratio of the voltage difference to the maximum voltage, and further includes at least one of a target amplitude reduction relative value and the area of the target waveform reduction region. It can be understood that the number of positives can also be determined based on each high-frequency QRS waveform data corresponding to the exercise electrocardiogram data, and the vascular response ability can be determined based on the number of positives and the reference index (the ratio of the voltage difference to the maximum voltage).

[0061] Based on one or more embodiments of the present application, when not considering the waveform type corresponding to the high-frequency QRS waveform data, the ratio of the voltage difference to the maximum voltage in the reference index refers to the maximum value among the ratios of the voltage difference to the maximum voltage corresponding to each high-frequency QRS waveform data where the corresponding first amplitude decrease relative value is equal to or greater than the first predetermined threshold. The target amplitude decrease relative value refers to the maximum value among the second amplitude decrease relative values corresponding to each high-frequency QRS waveform data where the corresponding first amplitude decrease relative value is equal to or greater than the first predetermined threshold. It can be understood that the area of the target waveform decrease region refers to the total value, average value, or maximum value of the areas of the waveform decrease regions corresponding to each high-frequency QRS waveform data where the corresponding first amplitude decrease relative value is equal to or greater than the first predetermined threshold.

[0062] In the above high-frequency QRS waveform data analysis method, by analyzing the high-frequency QRS waveform data corresponding to the exercise electrocardiogram data, two feature points within the first time zone are selected and used as the first reference point and the second reference point respectively, and two feature points within the second time zone are selected and used as the third reference point and the fourth reference point respectively. The corresponding maximum voltage is determined. Based on the first reference point and the second reference point, the waveform change situation within the first time zone of the high-frequency QRS waveform data is quantified to obtain the first amplitude decrease relative value. Based on the third reference point and the fourth reference point, it is quantified to obtain the voltage difference characterizing the degree of amplitude drop. When it is determined that the first amplitude decrease relative value is equal to or greater than the first predetermined threshold and the waveform change situation characterizing the high-frequency QRS waveform data meets the requirements, it is evaluated based on the ratio of the voltage difference to the maximum voltage to obtain a highly accurate vascular response ability. Therefore, the coronary vascular response ability of the subject can be accurately evaluated by a non-invasive method. Furthermore, a highly accurate vascular response ability can be provided for the doctor's reference, and the doctor can accurately recognize the health status of the subject's heart in combination with the clinical symptoms.

[0063] In some embodiments, S116 includes a step of screening high-frequency QRS waveform data in which the corresponding waveform types are the first type, the second type, and the third type. The waveform features of the first type include that the first amplitude decrease relative value is greater than or equal to a first predetermined threshold, and the first amplitude increase relative value is greater than or equal to a second predetermined threshold. The waveform features of the second type include that the first amplitude decrease relative value is greater than or equal to the first predetermined threshold, the second amplitude increase relative value is less than a third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to a predetermined time threshold. The waveform features of the third type include that the first amplitude decrease relative value is greater than or equal to the first predetermined threshold, the second amplitude increase relative value is greater than or equal to the third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to the predetermined time threshold. The step of determining the first amplitude increase relative value includes a step of selecting a fifth reference point that satisfies the screening condition from the first reference waveform data and is later in time than the first reference point, and a step of determining the first amplitude increase relative value based on the root mean square voltage of each of the first reference point and the fifth reference point. The step of determining the second amplitude increase relative value includes a step of selecting second reference waveform data with an amplitude fluctuation range less than or equal to a predetermined fluctuation range from the high-frequency QRS waveform data within a second time period, and a step of determining the second amplitude increase relative value based on the root mean square voltage of each of the end point of the second reference waveform data, which is the point with the largest root mean square voltage selected from the high-frequency QRS waveform data within a third time period as the sixth reference point, and the sixth reference point.

[0064] The first type includes a V shape, the second type includes an L shape, and the third type includes a U shape. The screening condition is a limiting condition for screening the fifth reference point from the first reference waveform data. Specifically, it may be the end point of the first reference waveform data, or it may be the first inflection point in the first reference waveform data where the time is later / greater than the first reference point. An inflection point, also called a point of inflection, refers to a point where the direction of the curve changes upward or downward, that is, the boundary between a concave arc and a convex arc on the curve corresponding to the first reference waveform data. When there are multiple inflection points in the first reference waveform data where the time is later than the first reference point, among the multiple inflection points, the inflection point with the earliest time is determined as the first inflection point. When there is no inflection point in the first reference waveform data where the time is later than the first reference point, the end point of the first reference waveform data is determined as the fifth reference point. Specifically, the third time period may include a certain period after exercise in the recovery stage. The third time period may be adjacent to the second time period, and the end point of the second time period is the start point of the third time period. Taking the example that the time range corresponding to the recovery stage in the high-frequency QRS waveform curve is 9 to 12 minutes, the third time period is, for example, a time interval characterized by [9 minutes 20 seconds, 12 minutes].

[0065] The amplitude variation width is used to characterize the degree of amplitude variation or change. Specifically, it can be used to characterize the degree of variation between the amplitudes of each point of the second reference waveform data (i.e., the root mean square voltage). The amplitude variation width of the second reference waveform data can be specifically determined based on the maximum and minimum values of the root mean square voltage in the second reference waveform data. For example, the difference between the maximum and minimum values of the root mean square voltage is obtained to obtain the corresponding amplitude variation width. The predetermined variation width can be customized according to requirements, for example, to 1 μV (microvolt). The predetermined variation width can further be dynamically determined based on the root mean square voltage of the second reference point or the third reference point. The predetermined variation width has a positive correlation with the root mean square voltage of the second reference point (or the third reference point). Specifically, the predetermined variation width can be dynamically set based on the root mean square voltage of the second reference point (or the third reference point) and a predetermined ratio value. For example, 10% of the root mean square voltage of the second reference point or the third reference point is determined as the predetermined variation width. Taking the predetermined ratio value as 10% is only an example and is not for specific limitation.

[0066] The duration of the second reference waveform data refers to the time difference corresponding to the end point and the start point of the second reference waveform data. Similarly, the second predetermined threshold, the third predetermined threshold, and the predetermined time threshold can be customized based on empirical values. For example, the second predetermined threshold can be set to 30%, the third predetermined threshold can be set to 56%, and the predetermined time threshold can be set to 3 minutes. It can also be dynamically determined based on the user image of the subject, and is not specifically limited here.

[0067] Specifically, analyze whether the waveform type of each high-frequency QRS waveform data corresponding to the analyzed exercise electrocardiogram data is the first type, the second type, or the third type, and then screen the high-frequency QRS waveform data for which the corresponding waveform types are the first type, the second type, and the third type respectively, so as to screen from each high-frequency QRS waveform data corresponding to the exercise electrocardiogram data the high-frequency QRS waveform data with the waveform type of the first type, the high-frequency QRS waveform data with the waveform type of the second type, and the high-frequency QRS waveform data with the waveform type of the third type. In this way, the screened high-frequency QRS waveform data includes the first-type high-frequency QRS waveform data, the second-type high-frequency QRS waveform data, and the third-type high-frequency QRS waveform data, thereby facilitating the determination of the vascular response ability based on the ratio of the voltage difference to the maximum voltage corresponding to the screened high-frequency QRS waveform data.

[0068] The step of analyzing whether the waveform type of the high-frequency QRS waveform data is the first type includes: selecting the end point of the first reference waveform data as the fifth reference point, or selecting the first inflection point after the first reference point from the first reference waveform data as the fifth reference point; obtaining the difference between the root mean square voltage of the fifth reference point and the root mean square voltage of the first reference point to obtain the first absolute value of amplitude increase; determining the ratio of the first absolute value of amplitude increase to the root mean square voltage of the first reference point as the first relative value of amplitude increase; and determining that the waveform type of the corresponding high-frequency QRS waveform data is the first type when the first relative value of amplitude decrease is greater than or equal to the first predetermined threshold and the first relative value of amplitude increase is greater than or equal to the second predetermined threshold.

[0069] The step of analyzing whether the waveform type of the high-frequency QRS waveform data is the second type traverses the root mean square voltage of each point within the second time zone in the high-frequency QRS waveform data, and based on the traversed root mean square voltage, selects data with an amplitude fluctuation range of a predetermined fluctuation range or less from the high-frequency QRS waveform data within the second time zone as the second reference waveform data; selects the data within the third time zone from the high-frequency QRS waveform data, traverses the root mean square voltage of each point of the selected data, and based on the traversed root mean square voltage, selects the point with the largest root mean square voltage from the selected data as the sixth reference point; obtains the difference between the root mean square voltage of the sixth reference point and the root mean square voltage of the end point of the second reference waveform data to obtain the second absolute amplitude increase value, and determines the ratio of the second absolute amplitude increase value to the root mean square voltage of the end point of the second reference waveform data as the second relative amplitude increase value; and when the first relative amplitude decrease value is greater than or equal to the first predetermined threshold, the second relative amplitude increase value is less than the third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to the predetermined time threshold, determines that the waveform type of the corresponding high-frequency QRS waveform data is the second type. The duration of the second reference waveform data is determined based on the respective times of the start point and the end point of the second reference waveform data.

[0070] The step of analyzing whether the waveform type of the high-frequency QRS waveform data is the third type traverses the root mean square voltage of each point within the second time zone in the high-frequency QRS waveform data, and based on the traversed root mean square voltage, selects data with an amplitude fluctuation range of a predetermined fluctuation range or less from the high-frequency QRS waveform data within the second time zone as the second reference waveform data; selects data within the third time zone from the high-frequency QRS waveform data, traverses the root mean square voltage of each point of the selected data, and based on the traversed root mean square voltage, selects the point with the largest root mean square voltage from the selected data as the sixth reference point; obtains the difference between the root mean square voltage of the sixth reference point and the root mean square voltage of the end point of the second reference waveform data to obtain the second absolute amplitude increase value, and determines the ratio of the second absolute amplitude increase value to the root mean square voltage of the end point of the second reference waveform data as the second relative amplitude increase value; and when the first relative amplitude decrease value is equal to or greater than the first predetermined threshold, the second relative amplitude increase value is equal to or greater than the third predetermined threshold, and the duration of the second reference waveform data is equal to or greater than the predetermined time threshold, determines that the waveform type of the corresponding high-frequency QRS waveform data is the third type.

[0071] For example, assume that there are 12 electrocardiogram leads, and among the high-frequency QRS waveform data corresponding to each of the 12 electrocardiogram leads, there are 2 pieces of high-frequency QRS waveform data with the waveform type of the first type, 1 piece of high-frequency QRS waveform data with the waveform type of the second type, and 1 piece of high-frequency QRS waveform data with the waveform type of the third type. Then, screen the high-frequency QRS waveform data corresponding to the first type, second type, and third type of waveform types from the 12 pieces of high-frequency QRS waveform data, and determine the vascular response ability based on the screened 4 pieces of high-frequency QRS waveform data.

[0072] In some embodiments, high-frequency QRS waveform data within the second time period is used as target waveform data. Specifically, with reference to the prior art, second reference waveform data with an amplitude fluctuation width within a predetermined fluctuation width or less can be selected from the target waveform data. Here, detailed description is omitted. For example, first, data with a corresponding amplitude fluctuation width that meets the requirements (the amplitude fluctuation width is within a predetermined fluctuation width or less) and a short duration (e.g., 1 minute or 30 seconds) is selected from the target waveform data as candidate data. Then, based on the candidate data, points adjacent to the candidate data before and / or after in the target waveform data are selected to expand the range of the candidate data. If the amplitude fluctuation width corresponding to the candidate data after the range expansion still does not meet the requirements, the candidate data is continuously expanded according to the above method. If the amplitude fluctuation width corresponding to the expanded candidate data does not meet the requirements, the expansion of the range of the candidate data is stopped, and the candidate data obtained by the previous range expansion is determined as the second reference waveform data. The curve determined based on the second reference waveform data is a continuous sub-interval in the corresponding high-frequency QRS waveform curve.

[0073] In some embodiments, it is analyzed whether the waveform type for each high-frequency QRS waveform data is of the first type, the second type, or the third type by a parallel or serial method. In the serial analysis method, sequential analysis is performed according to a predetermined order based on the waveform analysis functions corresponding to each predetermined type. When it is determined based on the current waveform analysis function that the waveform type of the high-frequency QRS waveform data does not correspond to the corresponding predetermined type, analysis continues based on the waveform analysis function corresponding to the next predetermined type according to the predetermined order. When the stop condition is met, the current analysis flow is stopped. The stop condition includes that traversal for all predetermined types is completed according to the predetermined order, or it is determined that the waveform type of the high-frequency QRS waveform data corresponds to the corresponding predetermined type based on the current waveform analysis function. The predetermined order is not specifically limited here. The predetermined types in this embodiment include the first type, the second type, and the third type. When more or fewer types are included in the predetermined types, similar logic can be referred to for processing. When the waveform type of the high-frequency QRS waveform data is any one of the predetermined types (i.e., the waveform type of the high-frequency QRS waveform data is one of the first type, the second type, and the third type), it is determined that the waveform type of the high-frequency QRS waveform data is the predetermined type. The waveform analysis functions corresponding to the predetermined types may include steps related to analyzing whether the high-frequency QRS waveform data provided in one or more embodiments of the present application corresponds to the corresponding predetermined type. Here, detailed description is omitted.

[0074] In the above embodiment, the high-frequency QRS waveform data whose waveform type is the first type, the second type, or the third type can better reflect the coronary vascular response ability. Therefore, the high-frequency QRS waveform data corresponding to the waveform types of the first type, the second type, and the third type is screened, and thereby, it is easier to obtain a higher-accuracy vascular response ability based on the screened high-frequency QRS waveform data.

[0075] In some embodiments, high-frequency QRS waveform data with waveform types being the first type and the second type is screened, or high-frequency QRS waveform data with waveform types being the first type and the third type is screened, or high-frequency QRS waveform data with waveform types being the second type and the third type is screened, and the vascular response ability is determined based on the screened high-frequency QRS waveform data. In this embodiment, the predetermined type includes the first type and the second type, or the first type and the third type, or the second type and the third type, thereby facilitating the determination of the vascular response ability based on the high-frequency QRS waveform data with the waveform type being the predetermined type.

[0076] In some embodiments, S116 includes a step of screening high-frequency QRS waveform data whose corresponding waveform type is the first type, or screening high-frequency QRS waveform data whose corresponding waveform type is the second type, or screening high-frequency QRS waveform data whose corresponding waveform type is the third type. The waveform features of the first type include that the first relative amplitude decrease value is greater than or equal to a first predetermined threshold, and the first relative amplitude increase value is greater than or equal to a second predetermined threshold. The waveform features of the second type include that the first relative amplitude decrease value is greater than or equal to the first predetermined threshold, the second relative amplitude increase value is less than a third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to a predetermined time threshold. The waveform features of the third type include that the first relative amplitude decrease value is greater than or equal to the first predetermined threshold, the second relative amplitude increase value is greater than or equal to the third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to the predetermined time threshold. The step of determining the first relative amplitude increase value includes a step of selecting a fifth reference point that satisfies the screening condition and whose time is later than the first reference point from the first reference waveform data, and a step of determining the first relative amplitude increase value based on the root mean square voltage of each of the first reference point and the fifth reference point. The step of determining the second relative amplitude increase value includes a step of selecting second reference waveform data whose amplitude fluctuation range is less than or equal to a predetermined fluctuation range from the high-frequency QRS waveform data within the second time period, and a step of determining the second relative amplitude increase value based on the root mean square voltage of each of the end point of the second reference waveform data, which is the point with the largest root mean square voltage selected from the high-frequency QRS waveform data within the third time period as the sixth reference point, and the sixth reference point.

[0077] Specifically, analyze whether the waveform of each piece of high-frequency QRS waveform data corresponding to the exercise electrocardiogram data is of the first type, and then screen the high-frequency QRS waveform data whose corresponding waveform type is the first type. Thereby, it becomes easy to determine the vascular response ability based on the ratio of the voltage difference to the maximum voltage corresponding to the high-frequency QRS waveform data whose waveform type is the first type. Or, analyze whether the waveform type of each piece of high-frequency QRS waveform data corresponding to the exercise electrocardiogram data is of the second type, and then screen the high-frequency QRS waveform data whose corresponding waveform type is the second type. Thereby, it becomes easy to determine the vascular response ability based on the ratio of the voltage difference to the maximum voltage corresponding to the high-frequency QRS waveform data whose waveform type is the second type. Or, analyze whether the waveform type of each piece of high-frequency QRS waveform data corresponding to the exercise electrocardiogram data is of the third type, and then screen the high-frequency QRS waveform data whose corresponding waveform type is the third type. Thereby, it becomes easy to determine the vascular response ability based on the ratio of the voltage difference to the maximum voltage corresponding to the high-frequency QRS waveform data whose waveform type is the third type.

[0078] In some embodiments, when it is characterized in that the first amplitude decrease relative value is greater than or equal to the first predetermined threshold and the first amplitude increase relative value is greater than or equal to the second predetermined threshold, and the V-shaped band is included in the corresponding high-frequency QRS waveform data, it is determined that the waveform type corresponding to the corresponding high-frequency QRS waveform data is V-shaped (the first type). According to the method provided in one or more embodiments of the present application, the vascular response ability is further determined based on each piece of high-frequency QRS waveform data whose corresponding waveform type is V-shaped. It can be understood that the waveform type of the high-frequency QRS waveform data shown in FIG. 2 is V-shaped. In this way, the waveform change situation of the high-frequency QRS waveform data is quantified by the waveform analysis function corresponding to the V shape, and it is analyzed whether the waveform type of the high-frequency QRS waveform data is V-shaped. Thereby, based on this, it becomes easy to accurately determine the vascular response ability based on each high-frequency QRS waveform curve whose waveform type is V-shaped.

[0079] In some embodiments, when the first amplitude decrease relative value is greater than or equal to a first predetermined threshold, the second amplitude increase relative value is less than a third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to a predetermined time threshold, and the corresponding high-frequency QRS waveform data includes an L-shaped band, it is determined that the waveform type of the corresponding high-frequency QRS waveform data is L-shaped, and it becomes easier to further determine the vascular response ability based on each high-frequency QRS waveform data having an L-shaped waveform type. By doing so, the waveform change situation of the high-frequency QRS waveform data is quantified by the waveform analysis function corresponding to the L shape, and it is analyzed whether the waveform type of the high-frequency QRS waveform data is L-shaped. Thereby, based on this, it becomes easy to accurately determine the vascular response ability based on each high-frequency QRS waveform data having an L-shaped waveform type.

[0080] In some embodiments, FIG. 3 provides a schematic diagram of selecting each reference point and reference waveform data based on high-frequency QRS waveform data. As shown in FIG. 3, high-frequency QRS waveform data corresponding to electrocardiogram lead aVL is displayed in the high-frequency QRS waveform diagram. The time range corresponding to the exercise stage in the high-frequency QRS waveform data is 0 to 9 minutes. The first time period includes the first 3 minutes during exercise (exercise stage). The high-frequency QRS waveform data within the first time period is the first reference waveform data. The point with the smallest root mean square voltage in the first reference waveform data is the first reference point. The point in the first reference waveform data with a time earlier than the first reference point and the largest root mean square voltage is the second reference point. The second time period includes 100 seconds before exercise (in the resting stage), 9 minutes during exercise, and 20 seconds after exercise (in the recovery stage). The data within the second time period and with the width of the amplitude waveform being less than or equal to a predetermined fluctuation width (e.g., 0.5 uV) is the second reference waveform data. The point with the largest root mean square voltage within the second time period is the third reference point. The point with a time later than the third reference point and the smallest root mean square voltage is the fourth reference point. The third time period includes the time interval from the 20th second after the end of exercise to the end of the load exercise detection process, specifically, a time interval characterized by, for example, [9 minutes 20 seconds, 12 minutes]. The point with the largest root mean square voltage in the high-frequency QRS waveform data within the third time period is the sixth reference point. The second absolute amplitude decrease value and the second relative amplitude decrease value determined based on the root mean square voltages of the third reference point and the fourth reference point are 3.3 uV and 56% respectively. The maximum voltage and voltage difference corresponding to the high-frequency QRS waveform data shown in FIG. 3 are 10 uV and 3.3 uV respectively, and its waveform type is L-shaped. In the illustrated high-frequency QRS waveform curve, it can be understood that the first reference point and the fourth reference point are the same point. The high-frequency QRS waveform data shown in FIG. 3, the selected reference points and reference waveform data, and the selection of the first reference point and the second reference point are only examples and are not for specific limitation.

[0081] In some embodiments, when the first relative amplitude decrease value is greater than or equal to a first predetermined threshold value, the second relative amplitude increase value is greater than or equal to a third predetermined threshold value, and the duration of the second reference waveform data is greater than or equal to a predetermined time threshold value, and the corresponding high-frequency QRS waveform data includes a U-shaped band, it is determined that the waveform type of the corresponding high-frequency QRS waveform data is U-shaped, and the vascular response ability is further determined based on each high-frequency QRS waveform curve whose waveform type is U-shaped. By doing so, the waveform change situation of the high-frequency QRS waveform data is quantified by the waveform analysis function corresponding to the U shape, and it is analyzed whether the waveform type of the high-frequency QRS waveform data is U-shaped. Thereby, based on this, it becomes easy to determine the vascular response ability based on each high-frequency QRS waveform data whose waveform type is U-shaped.

[0082] In some embodiments, FIG. 4 provides a schematic diagram for selecting each reference point and reference waveform data based on high-frequency QRS waveform data. As shown in FIG. 4, high-frequency QRS waveform data corresponding to electrocardiogram lead V5 is displayed in the high-frequency QRS waveform diagram. The exercise phase is such that the time range corresponding to the exercise phase in the high-frequency QRS waveform data is 0 to 9 minutes. The first time period includes 100 seconds before exercise (in the resting phase) and the first 3 minutes during exercise (in the exercise phase). The high-frequency QRS waveform data within the first time period is the first reference waveform data. The point with the smallest root mean square voltage in the first reference waveform data is the first reference point. The point in the first reference waveform data where the time is earlier than the first reference point and the root mean square voltage is the largest is the second reference point. The second time period includes 100 seconds before exercise (in the resting phase), 9 minutes during the exercise phase, and 20 seconds after exercise (in the recovery phase). The data within the second time period and with the width of the amplitude waveform being less than or equal to a predetermined variation width (e.g., 0.5 uV) is the second reference waveform data. The point with the largest root mean square voltage within the second time period is the third reference point. The point where the time is later than the third reference point and the root mean square voltage is the smallest is the fourth reference point. The third time period includes the time interval from the 20th second after the end of exercise until the end of the load exercise detection process, specifically, for example, a time interval characterized by [9 minutes 20 seconds, 12 minutes]. The point with the largest root mean square voltage in the high-frequency QRS waveform data within the third time period is the sixth reference point. The second absolute amplitude reduction value and the second relative amplitude reduction value determined based on the root mean square voltages of the third reference point and the fourth reference point are 3.2 uV and 63% respectively. The maximum voltage and voltage difference corresponding to the high-frequency QRS waveform data shown in FIG. 4 are 10 uV and 3.2 uV respectively, and its waveform type is U-shaped. In this embodiment, the second reference point and the third reference point are the same point. The high-frequency QRS waveform data shown in FIG. 4, the corresponding selected reference points and reference waveform data, and the selection of the first reference point and the second reference point are merely examples and are not for specific limitation.

[0083] Based on one or more embodiments of the present application, when the first time period includes a certain period before exercise and a certain period during exercise, each of the waveform characteristics of the first type, the second type, and the third type further includes that the time interval between the first reference point and the second reference point is less than or equal to a predetermined time interval. Taking the first type as an example, the waveform characteristics of the first type include that the relative value of the first amplitude decrease is greater than or equal to a first predetermined threshold, and the relative value of the first amplitude increase is greater than or equal to a second predetermined threshold, and the time interval between the first reference point and the second reference point is less than or equal to a predetermined time interval, which will not be enumerated one by one here.

[0084] In some embodiments, S118 includes determining a reference index that includes the ratio of the voltage difference to the maximum voltage based on the screened high-frequency QRS waveform data and further includes at least one item of the target relative value of amplitude decrease and the area of the target waveform decrease region, and determining the vascular response ability based on the reference index.

[0085] The ratio of the voltage difference to the maximum voltage in the reference index refers to the maximum value among the ratios of the voltage difference to the maximum voltage corresponding to each screened high-frequency QRS waveform data, and can be understood as the target ratio of the voltage difference to the maximum voltage. The target relative value of amplitude decrease refers to the maximum value among the relative values of the second amplitude decrease corresponding to each screened high-frequency QRS waveform data, and the area of the target waveform decrease region refers to the total value, average value, or maximum value of the areas of the waveform decrease regions corresponding to each screened high-frequency QRS waveform data.

[0086] Specifically, based on each screened high-frequency QRS waveform data, determine the ratio of the voltage difference to the maximum voltage, and further determine at least one item in the reference index such as the target relative value of amplitude decrease and the area of the target waveform decrease region, and determine the vascular response ability in combination with at least one item among the target relative value of amplitude decrease, the area of the target waveform decrease region, etc. based on the ratio of the voltage difference to the maximum voltage.

[0087] Based on one or more embodiments of the present application, when determining a reference index by screening high-frequency QRS waveform data with a waveform type that is a predetermined type in consideration of the waveform type corresponding to the high-frequency QRS waveform data, the ratio of the voltage difference to the maximum voltage in the reference index refers to the maximum value among the ratios of the voltage difference to the maximum voltage corresponding to each high-frequency QRS waveform data whose corresponding waveform type is the predetermined type. The relative value of the target amplitude decrease refers to the maximum value among the relative values of the second amplitude decrease corresponding to each high-frequency QRS waveform data whose corresponding waveform type is the predetermined type. The area of the target waveform decrease region refers to the total value, average value, or maximum value of the areas of the waveform decrease regions corresponding to each high-frequency QRS waveform data whose corresponding waveform type is the predetermined type. The predetermined type includes at least one of a first type (e.g., V-shaped), a second type (e.g., L-shaped), and a third type (e.g., U-shaped).

[0088] Taking the example that the L-shaped is included in the predetermined type, the ratio of the voltage difference to the maximum voltage in the reference index refers to the maximum value among the ratios of the voltage difference to the maximum voltage corresponding to each high-frequency QRS waveform data whose corresponding waveform type is L-shaped. Taking the example that the V-shaped, U-shaped, and L-shaped are included in the predetermined type, analyze whether the waveform type of each high-frequency QRS waveform data is V-shaped, U-shaped, or L-shaped, screen the high-frequency QRS waveform data whose waveform type is V-shaped, U-shaped, and L-shaped. If there are two high-frequency QRS waveform data whose waveform type is V-shaped, one high-frequency QRS waveform data whose waveform type is L-shaped, and one high-frequency QRS waveform data whose waveform type is U-shaped, determine the reference index based on the four screened high-frequency QRS waveform data. Specifically, referring to the method provided in one or more embodiments of the present application, each reference index can be determined based on the four screened high-frequency QRS waveform data. Here, detailed description is omitted.

[0089] In some embodiments, the step of determining the relative target amplitude reduction based on the screened high-frequency QRS waveform data includes: for each of the screened high-frequency QRS waveform data, determining a second relative amplitude reduction value based on the root mean square voltage of each of the corresponding third reference point and fourth reference point; and determining the maximum value of the second relative amplitude reduction values corresponding to each of the screened high-frequency QRS waveform data as the relative target amplitude reduction value. Specifically, obtain the second relative amplitude reduction value by calculating the difference between the root mean square voltage of the third reference point and the root mean square voltage of the corresponding fourth reference point, and set the ratio of the second relative amplitude reduction value to the root mean square voltage of the third reference point as the second relative amplitude reduction value. When the waveform type of the high-frequency QRS waveform data is V-shaped, it can be understood that the first reference point is selected as the fourth reference point, and the determined first relative amplitude reduction value is determined as the second relative amplitude reduction value. When the waveform type of the high-frequency QRS waveform data is U-shaped or L-shaped, select the point with the smallest root mean square voltage from the second reference waveform data as the fourth reference point.

[0090] In some embodiments, the relative target amplitude reduction value can reflect the coronary vascular response ability, and the two have a negative correlation. The vascular response ability can be determined based on the relative target amplitude reduction value. For example, it can be noted that the larger the relative target amplitude reduction value, the smaller or lower the corresponding vascular response ability, characterizing that the coronary vascular response ability is weakened. Thereby, based on the ratio of the voltage difference to the maximum voltage and the relative target amplitude reduction value, a more accurate vascular response ability can be obtained. Specifically, the vascular response ability can be determined based on the threshold intervals where they are respectively located. Specifically, the ratio of the voltage difference to the maximum voltage and the relative target amplitude reduction value are respectively compared with their respective threshold intervals, and the reference priority order of the threshold interval where it is located is determined as the reference priority order of the corresponding reference index. The reference index or dimension with a higher reference priority order is screened and used to determine the vascular response ability. Alternatively, based on the threshold intervals where the ratio of the voltage difference to the maximum voltage and the relative target amplitude reduction value are respectively located, the vascular response ability is determined respectively, and then the vascular response ability with a higher priority of attention is screened and determined as the final vascular response ability. When the reference priority orders corresponding to the ratio of the voltage difference to the maximum voltage and the relative target amplitude reduction value are the same, it can be understood that any one of them can be selected and used for determining the vascular response ability.

[0091] To explain with examples, for the relative value of the target amplitude decrease, a total of four width threshold intervals from the first width threshold interval to the fourth width threshold interval with sequentially decreasing reference priorities are preset. For example, they are respectively 66% or more, 60% or more and less than 66%, 50% or more and less than 60%, and 40% or more and less than 50%, and the corresponding reference priorities are denoted as the first level to the fourth level respectively. For example, when the relative value of the target amplitude decrease is in the first width threshold interval, the reference priority of the relative value of the target amplitude decrease is determined as the first level with the highest reference priority. Similarly, when the ratio of the voltage difference to the maximum voltage is in the second ratio threshold interval, the reference priority of the ratio of the voltage difference to the maximum voltage is determined as the second level with the next highest priority. When the reference priority (first level) of the relative value of the target amplitude decrease is higher than the reference priority (second level) of the ratio of the voltage difference to the maximum voltage, the vascular response ability is determined based on the width threshold interval where the relative value of the target amplitude decrease is located. Also, when the relative value of the target amplitude decrease is located in the first width threshold interval, the vascular response ability is determined as the first level with the highest priority of attention.

[0092] For another example, when the relative value of the target amplitude decrease is in the first width threshold interval, the vascular response ability is determined as the first level with the highest priority of attention. When the ratio of the voltage difference to the maximum voltage is in the second ratio threshold interval, the vascular response ability is determined as the second level with the next highest priority of attention. By comparing and screening the second level with the higher priority of attention, the final vascular response ability is obtained. As can be seen from referring to the correspondence between the ratio of the voltage difference to the maximum voltage and the vascular response ability, when the relative value of the target amplitude decrease is in the second width threshold interval, the vascular response ability is determined as the second level with the next highest priority of attention, and so on, which will not be listed one by one here.

[0093] In some embodiments, the step of determining the area of the target waveform reduction region based on the screened high-frequency QRS waveform data includes: selecting a seventh reference point and an eighth reference point from the screened high-frequency QRS waveform data; determining the area of the waveform reduction region based on the seventh reference point, the eighth reference point, and the high-frequency QRS waveform data; and determining the sum value, average value, or maximum value of the areas of the waveform reduction regions corresponding to each screened high-frequency QRS waveform data as the area of the target waveform reduction region.

[0094] Specifically, for each screened high-frequency QRS waveform data, the point corresponding to the start point of the exercise phase in the high-frequency QRS waveform data is used as the seventh reference point, or the second reference point (or the third reference point) is used as the seventh reference point, and the point corresponding to the end point of the exercise phase in the high-frequency QRS waveform data is used as the eighth reference point. The root mean square voltage of the seventh reference point is determined as the reference amplitude, and the closed region determined by the reference amplitude, the eighth reference point, and the high-frequency QRS waveform data and located below the reference amplitude is determined as the waveform reduction region. The area of the closed region is calculated by the first function to obtain the absolute low area, and the absolute low area is used as the area of the waveform reduction region of the corresponding high-frequency QRS waveform data. Alternatively, the closed region determined by the seventh reference point, the eighth reference point, the high-frequency QRS waveform data, and the reference axis (the horizontal axis of the high-frequency QRS waveform diagram) for example is used as the reference region, the area of the reference region is calculated by the second function to obtain the reference area, the ratio of the absolute low area to the reference area is determined as the relative low area, and the relative low area is used as the area of the waveform reduction region of the corresponding high-frequency QRS waveform data. Alternatively, the absolute low area and the relative low area calculated by the above method are used as the areas of the waveform reduction regions of the corresponding high-frequency QRS waveform data. The time of the seventh reference point is earlier than the time of the eighth reference point.

[0095] In some embodiments, the area of the target waveform reduction region can be used to reflect the coronary vascular response ability, and the two have a negative correlation. Based on the area of the target waveform reduction region, the corresponding vascular response ability can be determined. For example, it can be noted that the larger the area of the target waveform reduction region, the lower or smaller the corresponding vascular response ability (the higher the priority of attention), characterizing that the coronary vascular response ability becomes weaker. Thereby, based on the ratio of the voltage difference to the maximum voltage and the area of the target waveform reduction region, a more accurate vascular response ability can be obtained. Specifically, the vascular response ability can be determined based on the threshold intervals where they are respectively located.

[0096] Taking an example for explanation, when determining the vascular response ability by combining the area of the target waveform reduction region and the ratio of the voltage difference to the maximum voltage, for example, a total of three area threshold intervals from the first area threshold interval with a sequentially decreasing reference priority to the third area threshold interval are preset. When the ratio of the voltage difference to the maximum voltage is located in the first ratio threshold interval and the area of the target waveform reduction region is located in the first area threshold interval, it is noted that the vascular response ability is at the first level. When the ratio of the voltage difference to the maximum voltage is located in the second ratio threshold interval and the area of the target waveform reduction region is located in the first area threshold interval, it is noted that the vascular response ability is at the second level, which will not be listed one by one here. It can be understood that the higher the reference priority of the area threshold interval, the larger the numerical value within the area threshold interval. When the area of the waveform reduction region includes the absolute reduction area and / or the relative reduction area, the preset area threshold interval for the area of the waveform reduction region includes the absolute area threshold interval preset for the absolute reduction area and / or the relative area threshold interval preset for the relative reduction area. Thereby, when the area of the target waveform reduction region is within the first area threshold interval, the included target absolute reduction area and / or target relative reduction area are respectively located in the corresponding area threshold intervals within the first area threshold interval, and the detailed description is omitted here.

[0097] In some embodiments, a more accurate vascular response ability can be obtained based on the ratio of the voltage difference to the maximum voltage, the area of the target waveform reduction region, and the relative target amplitude reduction value. Specifically, based on the threshold intervals where each reference index is located, a plurality of corresponding combination methods can be obtained. Referring to the method for determining the vascular response ability provided in one or more embodiments of the present application, the corresponding vascular response ability can be obtained based on various combination methods of each reference index. Here, detailed descriptions are omitted. For example, when the area of the target waveform reduction region is within the first area threshold interval, and the relative target amplitude reduction value is within the first width threshold interval, and / or the ratio of the voltage difference to the maximum voltage is within the first ratio threshold interval, it is annotated that the vascular response ability is at the first level with the highest priority of attention.

[0098] In the above embodiments, based on the ratio of the voltage difference to the maximum voltage, and further in combination with at least one of the relative target amplitude reduction value and the area of the target waveform reduction region, a more accurate vascular response ability can be obtained and provided for doctors' reference.

[0099] In some embodiments, the above high-frequency QRS waveform data analysis method further includes a step of determining a positive number based on the high-frequency QRS waveform data corresponding to the exercise electrocardiogram data. S118 is a step of determining the vascular response ability based on the ratio of the voltage difference to the maximum voltage corresponding to the screened high-frequency QRS waveform data and the positive number, or a step of determining a reference index based on the screened high-frequency QRS waveform data, including the ratio of the voltage difference to the maximum voltage, and further including at least one of the relative target amplitude reduction value and the area of the target waveform reduction region, and determining the vascular response ability based on the reference index and the positive number.

[0100] Specifically, respective corresponding induced positive indicators are determined based on each high-frequency QRS waveform data corresponding to the exercise electrocardiogram data. From each high-frequency QRS waveform data corresponding to the exercise electrocardiogram data, high-frequency QRS waveform data for which the induced positive indicator indicates a positive is screened and statistically analyzed to obtain the number of positives corresponding to the exercise electrocardiogram data. Based on the screened high-frequency QRS waveform data, the ratio of the voltage difference to the maximum voltage is determined, and the vascular response ability is determined based on the determined ratio of the voltage difference to the maximum voltage and the number of positives. Alternatively, according to the method provided in one or more embodiments of the present application, a reference index is determined based on the screened high-frequency QRS waveform data, and the vascular response ability is determined based on the reference index and the number of positives.

[0101] In some embodiments, for each high-frequency QRS waveform data corresponding to the exercise electrocardiogram data, an absolute value of the second amplitude decrease and a relative value of the second amplitude decrease are determined based on the root mean square voltage of each of the third reference point and the fourth reference point, and an induced positive indicator for the corresponding high-frequency QRS waveform data is determined based on the relative value of the second amplitude decrease and the relative value of the second amplitude decrease. When both the absolute value of the second amplitude decrease and the relative value of the second amplitude decrease of the high-frequency QRS waveform data meet the predetermined induced positive condition, the induced positive indicator indicates that the corresponding electrocardiogram induction is positive. The predetermined induced positive condition can be customized according to the actual detection situation and can be adaptively adjusted based on factors such as the age, gender, height, and weight of the subject. For example, the absolute value of the second amplitude decrease is greater than 1 uV, and the relative value of the second amplitude decrease is greater than 50%, but it is not specifically limited here.

[0102] In some embodiments, the number of positives can be used to reflect the coronary vascular response ability, and the relationship between the two is a negative correlation. The corresponding vascular response ability can be determined based on the number of positives. For example, it is noted that as the number of positives increases, the corresponding vascular response ability decreases or becomes smaller (the priority of attention becomes higher), characterizing that the coronary vascular response ability becomes weaker. Thereby, a more accurate vascular response ability can be obtained based on the ratio of the voltage difference to the maximum voltage and the number of positives. Specifically, the vascular response ability can be determined based on the threshold intervals in which each of them is located.

[0103] Taking an example for explanation, assuming that the vascular response ability is determined by combining the positive number and the ratio of the voltage difference to the maximum voltage. For the positive number, four numerical threshold intervals are preset from the first numerical threshold interval to the fourth numerical threshold interval, where the reference priority decreases sequentially. For example, they are respectively 7 or more, 5 or more and less than 7, 3 or more and less than 5, and 1 or more and less than 3. When the ratio of the voltage difference to the maximum voltage is in the first ratio threshold interval and the positive number is in the first numerical threshold interval, it is annotated that the vascular response ability is at the first level. When the ratio of the voltage difference to the maximum voltage is in the second ratio threshold interval and the positive number is in the first numerical threshold interval, it is annotated that the vascular response ability is at the second level, which will not be enumerated one by one here. It can be understood that when the reference priority of the ratio of the voltage difference to the maximum voltage in a certain ratio threshold interval is high, but the reference priority of the positive number in a certain numerical threshold interval is low, the priority of attention to the vascular response ability can be appropriately reduced.

[0104] In some embodiments, as can be seen from the method for determining the vascular response ability based on the reference indicators provided in one or more embodiments of the present application, based on the ratio of the voltage difference to the maximum voltage and the positive number, further combined with at least one of the relative value of the target amplitude decrease and the area of the target waveform decrease region, a more accurate vascular response ability can be obtained. The specific combination method and the corresponding method for determining the vascular response ability can refer to the description of the corresponding embodiment, and the detailed description is omitted here. For example, when the positive number is in the first numerical threshold interval, the area of the target waveform decrease region is in the first area threshold interval, and the relative value of the target amplitude decrease is in the first width threshold interval and / or the ratio of the voltage difference to the maximum voltage is in the first ratio threshold interval, it is annotated that the vascular response ability is at the first level with the highest priority of attention.

[0105] As shown in FIG. 5, in some embodiments, a high-frequency QRS waveform data analysis method is provided. Specifically, the method includes: Step S502 of acquiring high-frequency QRS waveform data corresponding to exercise electrocardiogram data; Step S504 of selecting the high-frequency QRS waveform data within the first time zone as the first reference waveform data; Step S506 of determining a first reference point based on a point where the root mean square voltage in the first reference waveform data is the smallest, and determining a second reference point based on a point where the time is earlier than the first reference point and the root mean square voltage is the largest; Step S508 of determining a first amplitude reduction relative value based on the root mean square voltage of each of the first reference point and the second reference point; Step S510 of determining a maximum voltage based on the high-frequency QRS waveform data; Step S512 of selecting, as a third reference point, a point where the root mean square voltage is the largest from the high-frequency QRS waveform data within the second time zone, and setting a point where the time is later than the third reference point and the root mean square voltage is the smallest as the fourth reference point; Step S514 of determining a voltage difference based on the root mean square voltage of each of the third reference point and the fourth reference point; Step S516 of selecting, from the first reference waveform data, a fifth reference point that satisfies the screening condition and has a time later than the first reference point; Step S518 of determining a first amplitude increase relative value based on the root mean square voltage of each of the first reference point and the fifth reference point; Step S520 of screening high-frequency QRS waveform data where the first amplitude reduction relative value is greater than or equal to a first predetermined threshold and the first amplitude increase relative value is greater than or equal to a second predetermined threshold; Step S522 of selecting second reference waveform data with an amplitude fluctuation width less than or equal to a predetermined fluctuation width from the high-frequency QRS waveform data within the second time zone; Step S524 of selecting, as a sixth reference point, a point where the root mean square voltage is the largest from the high-frequency QRS waveform data within the third time zone; Step S526 of determining a second amplitude increase relative value based on the root mean square voltage of each of the end point of the second reference waveform data and the sixth reference point; Step S528 of screening high-frequency QRS waveform data where the first amplitude reduction relative value is greater than or equal to a first predetermined threshold, the second amplitude increase relative value is less than a third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to a predetermined time threshold; Step S530 of screening high-frequency QRS waveform data where the first amplitude decrease relative value is equal to or greater than a first predetermined threshold value, the second amplitude increase relative value is equal to or greater than a third predetermined threshold value, and the duration of the second reference waveform data is equal to or greater than a predetermined time threshold value. Based on the screened high-frequency QRS waveform data, determining a reference index including the ratio of the voltage difference to the maximum voltage and further including at least one of a target amplitude decrease relative value and the area of a target waveform decrease region, and determining the vascular response ability based on the reference index in step S532. Step S534 of determining a positive number based on the high-frequency QRS waveform data corresponding to the exercise electrocardiogram data. Step S536 of determining the vascular response ability based on the ratio of the voltage difference to the maximum voltage corresponding to the screened high-frequency QRS waveform data and the positive number. Including step S538 of determining a reference index based on the screened high-frequency QRS waveform data, where the ratio of the voltage difference to the maximum voltage is included and the reference index further includes at least one of a target amplitude decrease relative value and the area of a target waveform decrease region, and determining the vascular response ability based on the reference index and the positive number.

[0106] In the above embodiment, analyzing whether the waveform type of each high-frequency QRS waveform data is a predetermined type (for example, the first type, the second type, or the third type), screening the high-frequency QRS waveform data whose waveform type is the first type, the second type, and the third type, determining a reference index including at least one of the ratio of the voltage difference to the maximum voltage, the target amplitude decrease relative value, and the area of the target waveform decrease region, and determining whether it is used to determine the vascular response ability based on the reference index, or determining a positive number based on the high-frequency QRS waveform data corresponding to the exercise electrocardiogram data, and determining the vascular response ability based on the positive number and the ratio of the voltage difference to the maximum voltage (or the reference index), accurately evaluating the vascular response ability by a non-invasive method to obtain the vascular response ability and providing it for the reference of doctors. Thereby, it becomes easier for doctors to accurately recognize the health status of the subject's heart in combination with clinical symptoms and the like.

[0107] In the flowcharts of FIGS. 1 and 5, each step is sequentially displayed according to the indication of the arrow. However, it should be understood that these steps are not necessarily executed in the order indicated by the arrow. Unless the execution of these steps is explicitly described in this book, there is no strict order restriction, and these steps may be executed in other orders. And at least some of the steps in FIGS. 1 and 5 may include a plurality of steps or a plurality of stages. These steps or stages do not necessarily need to be performed simultaneously, may be performed at different timings, and the execution order of these steps or stages does not necessarily need to be sequential, and may be performed in turn or alternately with other steps, or at least a part of the steps or stages in other steps.

[0108] In some embodiments, as shown in FIG. 6, a high-frequency QRS waveform data analysis device 600 is provided, which includes an acquisition module 601, a selection module 602, an index determination module 603, and a screening module 604. Here, The acquisition module 601 is used to acquire high-frequency QRS waveform data corresponding to exercise electrocardiogram data. The selection module 602 is used to select the high-frequency QRS waveform data within the first time zone as the first reference waveform data. The selection module 602 is further used to determine a first reference point based on the point with the smallest root mean square voltage selected from the first reference waveform data, and to determine a second reference point based on the point where the time is earlier than the first reference point and the root mean square voltage is the largest. The index determination module 603 is used to determine a first amplitude reduction relative value based on the root mean square voltage of each of the first reference point and the second reference point. The index determination module 603 is further used to determine the maximum voltage based on the high-frequency QRS waveform data. The selection module 602 is used to select the point with the largest root mean square voltage from the high-frequency QRS waveform data within the second time period as the third reference point, and to set the point that is later in time than the third reference point and has the smallest root mean square voltage as the fourth reference point. The index determination module 603 is further used to determine a voltage difference based on the root mean square voltages of the third reference point and the fourth reference point respectively. The screening module 604 is used to screen high-frequency QRS waveform data for which the first amplitude reduction relative value is greater than or equal to the first predetermined threshold. The index determination module 603 is used to determine the vascular response ability based on the ratio of the voltage difference corresponding to the screened high-frequency QRS waveform data to the maximum voltage.

[0109] In some embodiments, the screening module 604 is further used to screen high-frequency QRS waveform data whose corresponding waveform types are the first type, the second type, and the third type. The waveform features of the first type include that the relative value of the first amplitude decrease is greater than or equal to a first predetermined threshold, and the relative value of the first amplitude increase is greater than or equal to a second predetermined threshold. The waveform features of the second type include that the relative value of the first amplitude decrease is greater than or equal to the first predetermined threshold, the relative value of the second amplitude increase is less than a third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to a predetermined time threshold. The waveform features of the third type include that the relative value of the first amplitude decrease is greater than or equal to the first predetermined threshold, the relative value of the second amplitude increase is greater than or equal to the third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to the predetermined time threshold. The selection module 602 is further used to select a fifth reference point that satisfies the screening condition and is later in time than the first reference point from the first reference waveform data. The index determination module 603 is further used to determine the relative value of the first amplitude increase based on the root mean square voltage of the first reference point and the fifth reference point respectively. The selection module 602 is further used to select second reference waveform data with an amplitude variation width less than or equal to a predetermined variation width from the high-frequency QRS waveform data within the second time period, and to select the point with the largest root mean square voltage from the high-frequency QRS waveform data within the third time period as the sixth reference point. The index determination module 603 is further used to determine the relative value of the second amplitude increase based on the root mean square voltage of the end point of the second reference waveform data and the sixth reference point respectively.

[0110] In some embodiments, the screening module 604 is further used to screen high-frequency QRS waveform data whose corresponding waveform type is the first type, or screen high-frequency QRS waveform data whose corresponding waveform type is the second type, or screen high-frequency QRS waveform data whose corresponding waveform type is the third type. The waveform features of the first type include that the relative value of the first amplitude decrease is greater than or equal to a first predetermined threshold and the relative value of the first amplitude increase is greater than or equal to a second predetermined threshold. The waveform features of the second type include that the relative value of the first amplitude decrease is greater than or equal to the first predetermined threshold, the relative value of the second amplitude increase is less than a third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to a predetermined time threshold. The waveform features of the third type include that the relative value of the first amplitude decrease is greater than or equal to the first predetermined threshold, the relative value of the second amplitude increase is greater than or equal to the third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to the predetermined time threshold. The selection module 602 is further used to select a fifth reference point whose time is later than the first reference point and that satisfies the screening conditions from the first reference waveform data. The index determination module 603 is further used to determine the relative value of the first amplitude increase based on the root mean square voltage of each of the first reference point and the fifth reference point. The selection module 602 is further used to select second reference waveform data whose amplitude fluctuation range is less than or equal to a predetermined fluctuation range from the high-frequency QRS waveform data within the second time zone, and select a point with the largest root mean square voltage from the high-frequency QRS waveform data within the third time zone as the sixth reference point. The index determination module 603 is further used to determine the relative value of the second amplitude increase based on the root mean square voltage of each of the end point of the second reference waveform data and the sixth reference point.

[0111] In some embodiments, the index determination module 603 is further used to determine a reference index based on the screened high-frequency QRS waveform data, the reference index including the ratio of the voltage difference to the maximum voltage and further including at least one of a target relative value of amplitude decrease and the area of the target waveform decrease region, and is used to determine the vascular response ability based on the reference index.

[0112] In some embodiments, the index determination module 603 further determines a positive number based on high-frequency QRS waveform data corresponding to the exercise electrocardiogram data, or determines the vascular response ability based on the ratio of the voltage difference to the maximum voltage corresponding to the screened high-frequency QRS waveform data and the positive number, or determines a reference index based on the screened high-frequency QRS waveform data, where the ratio of the voltage difference to the maximum voltage is included, and at least one of the relative value of the target amplitude decrease and the area of the target waveform decrease region is further included, and is used to determine the vascular response ability based on the reference index and the positive number.

[0113] Regarding the limitation on the high-frequency QRS waveform data analysis device, specifically, reference can be made to the limitation on the above high-frequency QRS waveform data analysis method, and the detailed description is omitted here. Each module in the above high-frequency QRS waveform data analysis device may be implemented in whole or in part by software, hardware, and combinations thereof. Each of the above modules may be incorporated in the form of hardware into the processor of the computer device, or may be independent, or may be stored in the memory of the computer device in the form of software, thereby facilitating the processor to call and execute the operations corresponding to each of the above modules.

[0114] In some embodiments, a computer device is provided. The computer device may be a server, and its internal structure diagram is as shown in FIG. 7. 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 execution of the operating system and computer-readable instructions in the non-volatile storage medium. The database of the computer device is used to store high-frequency QRS waveform data corresponding to exercise electrocardiogram data. The network interface of the computer device is used to connect and communicate with an external terminal via a network. The computer-readable instructions are executed by the processor to implement the high-frequency QRS waveform data analysis method.

[0115] Those skilled in the art will understand that the structure shown in FIG. 7 is only a block diagram of some structures related to the solution of the present application, and does not limit the computer device to which the solution of the present application is applied. A specific computer device may include more or fewer components than the illustrated components, or some components may be combined, or it may have different component arrangements.

[0116] In some embodiments, a computer device further including a memory storing computer-readable instructions and a processor is provided. When the computer-readable instructions are executed by the processor, the steps in the embodiments of each method are implemented.

[0117] In some embodiments, a computer-readable storage medium storing computer-readable instructions is provided. When the computer-readable instructions are executed by a processor, the steps in the embodiments of each method are implemented.

[0118] A person skilled in the art can achieve the implementation of all or part of the flow of the method in the above embodiments by instructing the relevant hardware with computer-readable instructions. The computer-readable instructions may be stored in a non-volatile computer-readable storage medium. It can be understood that when the computer-readable instructions are executed, the flow of the above method embodiments may be included. Any reference to memory, storage device, database, or other media used in the embodiments provided in this application may include at least one of non-volatile memory and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. By way of example and not limitation, RAM may be in various forms such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0119] Each of the technical features in the above embodiments can be combined arbitrarily. For the sake of brevity of description, 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, it should be regarded as within the scope described in this specification.

[0120] The above embodiments only illustrate some embodiments of the present application and are described more specifically and in detail, but it should not be understood as limiting the scope of the claims. A person skilled in the art should understand that without departing from the concept of the present application, some modifications and improvements are possible, and all of them are included in the protection scope of the present application. Therefore, the protection scope of the invention of the present application should be in accordance with the appended claims.

Claims

1. A step of acquiring high-frequency QRS waveform data corresponding to exercise electrocardiogram data; A step of selecting high-frequency QRS waveform data within a first time zone composed of a certain period before exercise and a certain period during exercise, or composed of a certain period during exercise, as first reference waveform data; A step of determining a first reference point based on a point with the smallest root mean square voltage in the first reference waveform data, and determining a second reference point based on a point with a time earlier than the first reference point and the largest root mean square voltage; A step of determining a first amplitude decrease relative value based on the root mean square voltage of each of the first reference point and the second reference point; A step of determining a maximum voltage based on the high-frequency QRS waveform data; A step of selecting a point with the largest root mean square voltage from high-frequency QRS waveform data within a second time zone as a third reference point, and setting a point with a time later than the third reference point and the smallest root mean square voltage as a fourth reference point; A step of determining a voltage difference based on the root mean square voltage of each of the third reference point and the fourth reference point; A step of screening high-frequency QRS waveform data with a first amplitude decrease relative value greater than or equal to a first predetermined threshold; A step of determining a vascular response ability based on a ratio between the voltage difference corresponding to the screened high-frequency QRS waveform data and the maximum voltage, including: The step of determining a maximum voltage based on the high-frequency QRS waveform data includes a step of obtaining a maximum value of the root mean square voltage from the high-frequency QRS waveform data as a target voltage, and determining a maximum voltage based on the target voltage; A high-frequency QRS waveform data analysis method.

2. The step of screening high-frequency QRS waveform data with a first amplitude decrease relative value greater than or equal to a first predetermined threshold includes: A step of screening high-frequency QRS waveform data with corresponding waveform types being the first type, the second type, and the third type; The waveform characteristics of the first type include that the first amplitude decrease relative value is greater than or equal to a first predetermined threshold, and the first amplitude increase relative value is greater than or equal to a second predetermined threshold; The waveform characteristics of the second type include that the first amplitude decrease relative value is greater than or equal to the first predetermined threshold, the second amplitude increase relative value is less than a third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to a predetermined time threshold; The waveform characteristics of the third type include that the relative value of the first amplitude decrease is greater than or equal to the first predetermined threshold, the relative value of the second amplitude increase is greater than or equal to the third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to the predetermined time threshold. The step of determining the relative value of the first amplitude increase is selecting a fifth reference point that satisfies the screening condition from the first reference waveform data and whose time is later than the first reference point; determining the relative value of the first amplitude increase based on the root mean square voltage of each of the first reference point and the fifth reference point. The step of determining the relative value of the second amplitude increase is selecting second reference waveform data with an amplitude fluctuation range less than or equal to a predetermined fluctuation range from the high-frequency QRS waveform data within the second time period; selecting a point with the largest root mean square voltage from the high-frequency QRS waveform data within the third time period as the sixth reference point; determining the relative value of the second amplitude increase based on the root mean square voltage of each of the end point of the second reference waveform data and the sixth reference point. The method according to claim 1.

3. The step of screening high-frequency QRS waveform data with a relative value of the first amplitude decrease greater than or equal to the first predetermined threshold is including the step of screening high-frequency QRS waveform data whose corresponding waveform type is the first type, or screening high-frequency QRS waveform data whose corresponding waveform type is the second type, or screening high-frequency QRS waveform data whose corresponding waveform type is the third type; The waveform characteristics of the first type include that the relative value of the first amplitude decrease is greater than or equal to the first predetermined threshold, and the relative value of the first amplitude increase is greater than or equal to the second predetermined threshold. The waveform characteristics of the second type include that the relative value of the first amplitude decrease is greater than or equal to the first predetermined threshold, the relative value of the second amplitude increase is less than the third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to the predetermined time threshold. The waveform characteristics of the third type include that the relative value of the first amplitude decrease is greater than or equal to the first predetermined threshold, the relative value of the second amplitude increase is greater than or equal to the third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to the predetermined time threshold. The step of determining the relative value of the first amplitude increase is selecting a fifth reference point that satisfies the screening condition from the first reference waveform data and whose time is later than the first reference point; Determining a first amplitude increase relative value based on the root mean square voltage of each of the first reference point and the fifth reference point, The step of determining the second amplitude increase relative value Selecting second reference waveform data having an amplitude fluctuation width equal to or less than a predetermined fluctuation width from high-frequency QRS waveform data within the second time zone, Selecting a point having the largest root mean square voltage from high-frequency QRS waveform data within a third time zone as a sixth reference point, Determining a second amplitude increase relative value based on the root mean square voltage of each of the end point of the second reference waveform data and the sixth reference point, The method according to claim 1.

4. The step of determining the vascular response ability based on the ratio of the voltage difference corresponding to the screened high-frequency QRS waveform data to the maximum voltage Based on the screened high-frequency QRS waveform data, determining a reference index including the ratio of the voltage difference to the maximum voltage and further including at least one of a target amplitude decrease relative value and the area of a target waveform decrease region, Determining the vascular response ability based on the reference index, The method according to any one of claims 1 to 3.

5. Further including the step of determining a positive number based on the high-frequency QRS waveform data corresponding to the exercise electrocardiogram data, The step of determining the vascular response ability based on the ratio of the voltage difference corresponding to the screened high-frequency QRS waveform data to the maximum voltage Determining the vascular response ability based on the ratio of the voltage difference corresponding to the screened high-frequency QRS waveform data to the maximum voltage and the positive number, or Determining a reference index based on the screened high-frequency QRS waveform data, the reference index including the ratio of the voltage difference to the maximum voltage and further including at least one of a target amplitude decrease relative value and the area of a target waveform decrease region, and determining the vascular response ability based on the reference index and the positive number, The method according to any one of claims 1 to 3, characterized in that.

6. An acquisition module for acquiring high-frequency QRS waveform data corresponding to exercise electrocardiogram data, A selection module for selecting high-frequency QRS waveform data within a first time zone composed of a certain period before exercise and a certain period during exercise or composed of a certain period during exercise as first reference waveform data, The selection module is further used to determine a first reference point based on the point with the smallest root mean square voltage in the first reference waveform data, and to determine a second reference point based on a point where the time is earlier than the first reference point and the root mean square voltage is the largest. An index determination module for determining a first amplitude decrease relative value based on the root mean square voltage of each of the first reference point and the second reference point; The index determination module is further used to determine a maximum voltage based on the high-frequency QRS waveform data. The selection module is used to select a point with the largest root mean square voltage from the high-frequency QRS waveform data within the second time period as a third reference point, and a point where the time is later than the third reference point and the root mean square voltage is the smallest as a fourth reference point. The index determination module is further used to determine a voltage difference based on the root mean square voltage of each of the third reference point and the fourth reference point. A screening module for screening high-frequency QRS waveform data where the first amplitude decrease relative value is greater than or equal to a first predetermined threshold; An index determination module for determining a vascular response ability based on the ratio of the voltage difference corresponding to the screened high-frequency QRS waveform data to the maximum voltage, and The index determination module is further used to obtain the maximum value of the root mean square voltage from the high-frequency QRS waveform data as a target voltage, and to determine the maximum voltage based on the target voltage. High-frequency QRS waveform data analyzer.

7. The screening module is further used to screen high-frequency QRS waveform data whose corresponding waveform types are the first type, the second type, and the third type. The waveform characteristics of the first type include that the first amplitude decrease relative value is greater than or equal to the first predetermined threshold, and the first amplitude increase relative value is greater than or equal to the second predetermined threshold. The waveform characteristics of the second type include that the first amplitude decrease relative value is greater than or equal to the first predetermined threshold, the second amplitude increase relative value is less than the third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to a predetermined time threshold. The waveform characteristics of the third type include that the first amplitude decrease relative value is greater than or equal to the first predetermined threshold, the second amplitude increase relative value is greater than or equal to the third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to the predetermined time threshold. The selection module is further used to select a fifth reference point that satisfies the screening condition from the first reference waveform data and whose time is later than the first reference point. The index determination module is further used to determine a first amplitude increase relative value based on the root mean square voltage of each of the first reference point and the fifth reference point. The selection module is further used to select second reference waveform data whose amplitude fluctuation range is less than or equal to a predetermined fluctuation range from the high-frequency QRS waveform data within the second time period, and to select a point with the largest root mean square voltage from the high-frequency QRS waveform data within the third time period as the sixth reference point. The index determination module is further used to determine a second amplitude increase relative value based on the root mean square voltage of each of the end point of the second reference waveform data and the sixth reference point. The device according to claim 6.

8. The screening module is further used to screen high-frequency QRS waveform data whose corresponding waveform type is the first type, or to screen high-frequency QRS waveform data whose corresponding waveform type is the second type, or to screen high-frequency QRS waveform data whose corresponding waveform type is the third type. The waveform characteristics of the first type include that the first amplitude decrease relative value is greater than or equal to a first predetermined threshold and the first amplitude increase relative value is greater than or equal to a second predetermined threshold. The waveform characteristics of the second type include that the first amplitude decrease relative value is greater than or equal to the first predetermined threshold, the second amplitude increase relative value is less than a third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to a predetermined time threshold. The waveform characteristics of the third type include that the first amplitude decrease relative value is greater than or equal to the first predetermined threshold, the second amplitude increase relative value is greater than or equal to the third predetermined threshold, and the duration of the second reference waveform data is greater than or equal to the predetermined time threshold. The selection module is further used to select a fifth reference point that satisfies the screening condition from the first reference waveform data and whose time is later than the first reference point. The index determination module is further used to determine a first amplitude increase relative value based on the root mean square voltage of each of the first reference point and the fifth reference point. The selection module is further used to select second reference waveform data with a fluctuation range of amplitude less than or equal to a predetermined fluctuation range from the high-frequency QRS waveform data within the second time period, and to select a point with the largest root mean square voltage from the high-frequency QRS waveform data within the third time period as the sixth reference point. The index determination module is further used to determine a second amplitude rise relative value based on the root mean square voltage of each of the end point of the second reference waveform data and the sixth reference point. The apparatus according to claim 6.

9. The index determination module is further used to determine a reference index including a ratio of a voltage difference to a maximum voltage based on the screened high-frequency QRS waveform data, and further including at least one of a target amplitude decrease relative value and an area of a target waveform decrease region, and to determine a vascular response ability based on the reference index. The apparatus according to any one of claims 6 to 8, characterized in that.

10. The index determination module is further used to determine a positive number based on the high-frequency QRS waveform data corresponding to the exercise electrocardiogram data, or to determine a vascular response ability based on a ratio of a voltage difference to a maximum voltage corresponding to the screened high-frequency QRS waveform data and the positive number, or to determine a reference index based on the screened high-frequency QRS waveform data, the reference index including a ratio of a voltage difference to a maximum voltage and further including at least one of a target amplitude decrease relative value and an area of a target waveform decrease region, and to determine a vascular response ability based on the reference index and the positive number. The apparatus according to any one of claims 6 to 8, characterized in that.

11. A computer device including a memory storing computer-readable instructions and a processor, wherein when the computer-readable instructions are executed by the processor, the steps of the high-frequency QRS waveform data analysis method according to any one of claims 1 to 5 are implemented. The computer device is characterized in that.

12. A computer-readable storage medium storing computer-readable instructions, wherein when the computer-readable instructions are executed by a processor, the steps of the high-frequency QRS waveform data analysis method according to any one of claims 1 to 5 are implemented. The computer-readable storage medium is characterized in that.

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