Exercise load electrocardiogram data analysis method, device, computer device and storage medium

Abstract

This application provides an exercise stress electrocardiogram data analysis method. The exercise stress electrocardiogram data analysis method includes obtaining and analyzing exercise stress electrocardiogram data to obtain a curve of a high-frequency QRS waveform, selecting the starting point and ending point of an exercise stage as a first reference point and a second reference point respectively from the curve of the high-frequency QRS waveform, or selecting a curve of a candidate waveform from the curve of the high-frequency QRS waveform, selecting a first reference point at which the RMS voltage of the curve of the candidate waveform is maximum, selecting a second reference point at which the RMS voltage after the first reference point is minimum, or selecting a first reference point at which the RMS voltage of the curve of the candidate waveform is maximum and selecting the ending point of the exercise stage as the second reference point, determining the area of a waveform descent region based on the first reference point, the second reference point, and the curve of the high-frequency QRS waveform, and determining a consideration level based on the area of the waveform descent region.

Description

Technical Field

[0001] [Cross - Reference to Related Applications] This application claims the priority of a Chinese patent application filed with the China National Intellectual Property Administration on June 9, 2022, with the application number 2022106465153 and the application title "Exercise - Load Electrocardiogram Data Analysis Method, Device, Computer Device and Storage Medium", and all of its contents are incorporated herein by reference. This application relates to an exercise - load electrocardiogram data analysis method, device, computer device and storage medium.

Background Art

[0002] With the improvement of living standards and the increase of work stress, heart diseases (such as myocardial infarction) are becoming more and more common and younger, and have already become one of the major diseases seriously threatening human health. Therefore, how to effectively identify the health status of the heart to realize the preventive monitoring of heart diseases has become a problem worthy of attention.

[0003] Currently, generally, based on the data of the ST - T segment of an electrocardiogram (ECG), information related to cardiac activity is analyzed to evaluate the presence or absence of myocardial ischemia and identify the health status of the heart. However, the inventor has recognized that many potential heart problems are not reflected as abnormalities in the data of the ST - T segment, and as a result, the accuracy of identifying the health status of the heart is reduced.

Summary of the Invention

Problems to be Solved by the Invention

[0004] Each embodiment disclosed in this application provides an exercise - load electrocardiogram data analysis method, device, computer device and storage medium.

Means for Solving the Problems

[0005] An exercise - load electrocardiogram data analysis method, comprising: acquiring exercise - load electrocardiogram data; Analyze the high-frequency components of the QRS complex in the exercise stress electrocardiogram data to obtain a curve of the high-frequency QRS waveform, Select a first reference point and a second reference point from the curve of the high-frequency QRS waveform, Based on the first reference point, the second reference point, and the curve of the high-frequency QRS waveform, determine the area of the corresponding waveform descending region, Based on the area of the waveform descending region, determine the consideration level corresponding to the exercise stress electrocardiogram data, and The selecting of the first reference point and the second reference point from the curve of the high-frequency QRS waveform is Selecting the starting point and the ending point of the exercise stage from the curve of the high-frequency QRS waveform as the first reference point and the second reference point respectively, or Selecting a curve of a candidate waveform from the curve of the high-frequency QRS waveform, selecting the point where the RMS voltage (VRMS) of the curve of the candidate waveform is maximum as the first reference point, and selecting the point where the RMS voltage after the first reference point is minimum as the second reference point, or Selecting a curve of a candidate waveform from the curve of the high-frequency QRS waveform, selecting the point where the RMS voltage of the curve of the candidate waveform is maximum as the first reference point, and selecting the ending point of the exercise stage as the second reference point, and includes.

[0006] In one embodiment, the area of the waveform descending region includes the absolute descending area, and based on the first reference point, the second reference point, and the curve of the high-frequency QRS waveform, determining the area of the corresponding waveform descending region is Selecting the curve located between the first reference point and the second reference point from the curve of the high-frequency QRS waveform as the curve of the reference waveform, Determining a reference amplitude based on the curve of the reference waveform, Based on the reference amplitude and the curve of the reference waveform, calculating the absolute descending area with a first function, and includes.

[0007] In one embodiment, the area of the waveform descending region further includes a relative descending area, and based on the first reference point, the second reference point, and the curve of the high-frequency QRS waveform, determining the area of the corresponding waveform descending region includes calculating a reference area with a second function based on the curve of the reference waveform, and further obtaining a relative descending area based on the absolute descending area and the reference area.

[0008] In one embodiment, the method further includes determining a reference index including at least one of a relative amplitude drop value, an induced positive index, a positive location, and a waveform type based on the curve of the high-frequency QRS waveform, and based on the area of the waveform descending region, determining a consideration level corresponding to the exercise stress electrocardiogram data includes determining a consideration level corresponding to the exercise stress electrocardiogram data based on the area of the waveform descending region and the reference index.

[0009] In one embodiment, the method further includes obtaining a load exercise detection parameter corresponding to the exercise stress electrocardiogram data, and determining a correction coefficient based on the load exercise detection parameter, and based on the area of the waveform descending region, determining a consideration level corresponding to the exercise stress electrocardiogram data includes correcting the area of the waveform descending region based on the correction coefficient, and further determining a consideration level corresponding to the exercise stress electrocardiogram data based on the corrected area of the waveform descending region.

[0010] An exercise stress electrocardiogram data analysis device, comprising an acquisition module for acquiring exercise stress electrocardiogram data, an analysis module for analyzing high-frequency components of QRS complexes in the exercise stress electrocardiogram data to obtain a curve of a high-frequency QRS waveform, A selection module that selects a first reference point and a second reference point from the curve of the high-frequency QRS waveform; An evaluation index determination module that determines the area of the corresponding waveform descending region based on the first reference point, the second reference point, and the curve of the high-frequency QRS waveform; A consideration level determination module that determines the consideration level corresponding to the exercise stress electrocardiogram data based on the area of the waveform descending region, and includes: The selection module selects the start point and the end point of the exercise stage from the curve of the high-frequency QRS waveform as the first reference point and the second reference point, respectively, or selects the curve of the candidate waveform from the curve of the high-frequency QRS waveform, and selects the point where the RMS voltage of the curve of the candidate waveform is the maximum as the first reference point, and selects the point where the RMS voltage after the first reference point is the minimum as the second reference point, or selects the curve of the candidate waveform from the curve of the high-frequency QRS waveform, and selects the point where the RMS voltage of the curve of the candidate waveform is the maximum as the first reference point, and selects the end point of the exercise stage as the second reference point.

[0011] A computer device comprising a memory and one or more processors, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processors, the steps of the exercise stress electrocardiogram data analysis method provided in any one of the embodiments of the present application are realized.

[0012] One or more non-volatile storage media storing computer-readable instructions, and when the computer-readable instructions are executed by one or more processors, the one or more processors realize the steps of the exercise stress electrocardiogram data analysis method provided in any one of the embodiments of the present application.

[0013] 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

[0014] To more clearly explain the technical solution according to the embodiments of the present application, the drawings necessary for describing the embodiments are briefly introduced below. However, the drawings related to the following description are only some embodiments of the present application, and it is obvious that for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

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Modes for Carrying Out the Invention

[0015] To make the technical means and advantages of the present application clearer and easier to understand, 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 explaining the present application and are not intended to limit the present application.

[0016] The exercise stress electrocardiogram data analysis method provided by this application may be applied to a terminal, may be applied to a server, or may be applied to an interactive system including a terminal and a server and realized by the interaction between the terminal and the server, but is not specifically limited here. The terminal may be various personal computers, laptops, smartphones, tablets, electrocardiogram monitoring devices, and portable wearable devices, but is not limited thereto. The server can be realized by an independent server or a cluster server composed of multiple servers.

[0017] In some embodiments, as shown in FIG. 1, an exercise stress electrocardiogram data analysis method is provided. Taking the application of this method to a server as an example, it specifically includes the following steps.

[0018] In S102, exercise stress electrocardiogram data is acquired.

[0019] The exercise stress electrocardiogram data is the electrocardiogram data collected in exercise stress electrocardiogram detection. Exercise stress electrocardiogram detection is an electrocardiogram detection method that applies a certain exercise to load the heart, collects the electrocardiogram data of the subject, and analyzes the health status of the subject's heart based on the collected electrocardiogram data. It is widely used in the detection of heart diseases and cardiovascular diseases. For example, the exercise stress electrocardiogram data may be used to analyze the presence or absence of myocardial ischemia in the subject, or may be used to analyze the severity of myocardial ischemia.

[0020] In some embodiments, the exercise stress electrocardiogram detection includes multiple stages. Specifically, it sequentially includes three stages such as a resting stage, an exercise stage, and a recovery stage. The exercise stress electrocardiogram data includes the electrocardiogram data of each stage. It can be understood that the division of stages is not limited to this, and specifically, it may be divided according to the actual situation.

[0021] In some embodiments, in exercise electrocardiogram measurement, ten electrode sheets distributed on the chest and limbs of the human body are used to form twelve electrocardiogram inductions (for example, V1, V2, V3, V4, V5, V6, I, II, III, aVL, aVF, aVR), and correspondingly output twelve sets of electrocardiogram data, so as to obtain exercise electrocardiogram data corresponding to the whole process of exercise electrocardiogram measurement. The ten electrode sheets are just an example, and the number of electrode sheets is not limited. Specifically, it is possible to dynamically determine, for example, more electrode sheets or fewer electrode sheets according to actual needs.

[0022] In S104, the high-frequency components of the QRS complex in the exercise electrocardiogram data are analyzed to obtain a curve of the high-frequency QRS waveform.

[0023] The exercise electrocardiogram data contains multiple QRS complexes. Each QRS complex is a set of Q wave, R wave, and S wave respectively, which reflects the depolarization potential and time change of the left and right ventricles. The first descending wave is the Q wave, the first ascending wave is the R wave, and the second descending wave is the S wave. The high-frequency components of the QRS complex refer to the high-frequency band with a frequency of 100 HZ or more in the QRS complex. Specifically, it refers to the high-frequency band in the interval of 150 HZ to 250 HZ in the QRS complex. The curve of the high-frequency QRS waveform shows the temporal change trend of the RMS voltage of the high-frequency components of the QRS complex of the subject in the whole process of exercise electrocardiogram measurement (including, for example, the resting stage, exercise stage, and recovery stage), that is, it embodies the change trend of energy in the whole process of exercise electrocardiogram measurement. The curve of the high-frequency QRS waveform is shown by the high-frequency QRS waveform diagram. In the high-frequency QRS waveform diagram, the abscissa is the measurement time of the exercise electrocardiogram measurement process, that is, the time corresponding to the signal collection time, with the unit of min (minute), and the ordinate is the RMS voltage, with the unit of μV (microvolt). The RMS voltage can also be understood as the intensity or amplitude.

[0024] Specifically, the exercise stress electrocardiogram data includes the ECG (electrocardiogram) corresponding to each heartbeat of the subject during the entire process of the load exercise electrocardiogram measurement, and the QRS complex is included in the ECG. According to the time series and a preset moving step size by means of a window function, the exercise stress electrocardiogram data is divided into a plurality of electrocardiogram data subsets, and each electrocardiogram data subset contains the 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, and the corresponding high-frequency QRS complex (the high-frequency band of the QRS complex) is obtained. The root mean square of the squares of the high-frequency QRS complex is calculated, and the corresponding RMS voltage is obtained as the RMS voltage / intensity / amplitude corresponding to the electrocardiogram data subset. By performing curve smoothing processing on the RMS voltage / intensity / amplitude corresponding to each electrocardiogram data subset according to the time series, a curve of the high-frequency QRS waveform corresponding to the exercise stress electrocardiogram data is obtained.

[0025] It can be understood that the window width of the window function and the preset moving step size can be set according to the actual needs respectively. For example, the window width can be set to 10 seconds, and the preset moving step size can be set to 10 seconds or one heartbeat cycle. "One heartbeat cycle" means the time interval between two adjacent heartbeats, and is not specifically limited here. "According to the time series" means the order according to the signal acquisition time or the detection time when the load exercise electrocardiogram measurement is in progress.

[0026] In some embodiments, the exercise stress electrocardiogram data includes electrocardiogram data corresponding to at least one electrocardiogram lead. For the electrocardiogram data corresponding to each electrocardiogram lead, the high-frequency components of the QRS complex are analyzed respectively, and a curve of the high-frequency QRS waveform corresponding to each electrocardiogram lead is obtained. Thus, based on the curve of the high-frequency QRS waveform corresponding to each electrocardiogram lead, the area of the waveform descent region corresponding to the electrocardiogram lead is calculated, and then the consideration level corresponding to the exercise stress electrocardiogram data is determined.

[0027] In S106, a first reference point and a second reference point are selected from the curve of the high-frequency QRS waveform.

[0028] Selecting the first reference point and the second reference point from the curve of the high-frequency QRS waveform includes selecting the start point and the end point of the exercise phase as the first reference point and the second reference point, respectively, from the curve of the high-frequency QRS waveform; or selecting the curve of the candidate waveform from the curve of the high-frequency QRS waveform, selecting the point where the RMS voltage on the curve of the candidate waveform is maximum as the first reference point, and selecting the point where the RMS voltage after the first reference point is minimum as the second reference point; or selecting the curve of the candidate waveform from the curve of the high-frequency QRS waveform, selecting the point where the RMS voltage on the curve of the candidate waveform is maximum as the first reference point, and selecting the end point of the exercise phase as the second reference point.

[0029] The first reference point and the second reference point are used to determine the start point and the end point of the curve of the reference waveform in the curve of the high-frequency QRS waveform, and to calculate the area of the waveform descending region of the curve of the corresponding high-frequency QRS waveform based on the curve of the reference waveform. The time of the first reference point is earlier / shorter than the time of the second reference point, that is, in the curve of the high-frequency QRS waveform, the first reference point is located before the second reference point.

[0030] Specifically, the start point and the end point of the exercise phase are determined from the curve of the high-frequency QRS waveform. The start point of the exercise phase is used as the first reference point, and the end point of the exercise phase is used as the second reference point. Alternatively, a curve located in a preset time zone from the curve of the high-frequency QRS waveform is selected as the curve of the candidate waveform. A point where the RMS voltage on the curve of the candidate waveform is maximized is selected as the first reference point, and a point where the RMS voltage on the curve of the candidate waveform after the first reference point is minimized is selected as the second reference point. Alternatively, a point where the RMS voltage on the curve of the candidate waveform is maximized is selected as the first reference point, and the end point of the exercise phase is selected as the second reference point. It is understandable that the preset time zone may be set according to actual needs. For example, a time point 100 seconds away from the start point of the exercise phase during the resting phase is set as the start point of the preset time zone, and a time point 20 seconds away from the end point of the exercise phase during the recovery phase is set as the end point of the preset time zone. Taking as an example that the time range corresponding to the exercise phase in the high-frequency QRS waveform diagram is 3 to 9 minutes, it is possible to set the preset time zone to "[1 minute 20 seconds to 9 minutes 20 seconds]", but it is not specifically limited.

[0031] In this way, by selecting the first reference point and the second reference point with reference value, based on the selected first reference point and second reference point and the curve of the corresponding high-frequency QRS waveform, the area of the waveform descending region with reference value is determined, which contributes to improving the accuracy of discrimination of the heart health state.

[0032] In S108, based on the first reference point, the second reference point, and the curve of the high-frequency QRS waveform, the area of the corresponding waveform descending region is determined.

[0033] The area of the waveform descending region includes the absolute descending area and / or the relative descending area for evaluating the myocardial ischemia situation.

[0034] Specifically, based on the first reference point, the second reference point, and the curve of the high-frequency QRS waveform, a reference amplitude is determined. The closed region specified by the reference amplitude, the curve of the high-frequency QRS waveform, and the second reference point is determined as the waveform descent region, and the area of the waveform descent region is calculated. Thus, the absolute descent area is obtained as the area of the waveform descent region of the curve of the corresponding high-frequency QRS waveform. Alternatively, the closed region specified by the first reference point, the curve of the high-frequency QRS waveform, the second reference point, and the horizontal axis is determined as the reference region, the value of the ratio of the absolute descent area to the area of the reference region is calculated, and the relative descent area is obtained as the area of the waveform descent region of the curve of the corresponding high-frequency QRS waveform. Alternatively, the absolute descent area and the relative descent area calculated as above are taken as the area of the waveform descent region of the curve of the corresponding high-frequency QRS waveform. The horizontal axis is the horizontal axis of the high-frequency QRS waveform diagram for displaying the curve of the high-frequency QRS waveform, that is, the reference axis where the RMS voltage / amplitude is 0.

[0035] In some embodiments, the closed region specified by the reference amplitude, the first reference point, the second reference point, and the horizontal axis is determined as the reference region. The RMS voltage / amplitude of the first reference point may be determined as the reference amplitude, or the maximum value of the RMS voltage located between the first reference point and the second reference point on the curve of the high-frequency QRS waveform may be determined as the reference amplitude, but it is not limited here.

[0036] In some embodiments, when the point where the root mean square of the candidate waveform curve is maximized is taken as the first reference point, the RMS voltage of the first reference point is determined as the reference amplitude. When the starting point of the exercise stage is taken as the first reference point, the RMS voltage of the first reference point may be determined as the reference amplitude, or the maximum value of the RMS voltage on the curve of the candidate waveform may be determined as the reference amplitude.

[0037] In S110, based on the area of the waveform descent region, a consideration level corresponding to the exercise stress electrocardiogram data is determined.

[0038] The consideration level indicates different degrees of attention. The area of the waveform descent region can indicate different degrees and durations of myocardial ischemia for the doctor to refer to when making a diagnosis. For example, to show that the greater the area of the waveform descent region, the higher the possibility of the degree of myocardial ischemia, by setting the consideration level accordingly, the doctor can accurately identify the health status of the subject's heart based on the consideration level, the curve of the high-frequency QRS waveform, the area of the waveform descent region, etc., and thus can also provide advice for reference in diagnosis and treatment considering clinical symptoms. It is understandable that myocardial ischemia is more of a symptom or manifestation rather than a disease. For example, it does not necessarily indicate that the subject with myocardial ischemia is suffering from coronary heart disease, nor does it necessarily indicate the occurrence of heart diseases such as myocardial infarction. Specifically, based on the area of the waveform descent region of the curve of the high-frequency QRS waveform, the heart health level of the subject is determined, and by setting the consideration level corresponding to the exercise stress electrocardiogram data for the doctor's reference, the doctor can refer to the consideration level and, considering clinical symptoms, further provide advice on detection or diagnosis and treatment.

[0039] In some embodiments, according to one or more embodiments of the present application, after determining the area of the waveform descent region corresponding to at least one electrocardiogram lead, the consideration level of the exercise stress electrocardiogram data is determined based on the area of the waveform descent region corresponding to each electrocardiogram lead. For example, the consideration level of the exercise stress electrocardiogram data can be determined based on the area threshold interval where the sum value or average value of the areas of the waveform descent regions corresponding to each electrocardiogram lead is located, or based on the area threshold interval where the maximum value of the areas of the waveform descent regions corresponding to each electrocardiogram lead is located, or based on the distribution of the areas of the waveform descent regions corresponding to each electrocardiogram lead in a predetermined area threshold interval, but it is not specifically limited here. The area threshold interval can be set according to the actual situation.

[0040] In the above exercise stress electrocardiogram data analysis method, by performing high-frequency component analysis on the QRS complex in the exercise stress electrocardiogram data, a curve of the corresponding high-frequency QRS waveform is obtained. Based on the first reference point and the second reference point selected from the curve of the high-frequency QRS waveform, and the curve of the high-frequency QRS waveform, the area of the corresponding waveform descending region is determined. Based on the area of the waveform descending region corresponding to the curve of the high-frequency QRS waveform, by determining the consideration level corresponding to the exercise stress electrocardiogram data with reference value for doctors, doctors can accurately identify the health status of the subject's heart considering clinical symptoms, reduce the subjectivity of doctors in the identification of the heart health status, and improve the accuracy of the identification of the heart health status.

[0041] In some embodiments, the area of the waveform descending region includes the absolute descending area. In S108, a curve located between the first reference point and the second reference point from the curve of the high-frequency QRS waveform is selected as the reference waveform curve, the reference amplitude is determined based on the reference waveform curve, and calculating the absolute descending area with the first function based on the reference amplitude and the reference waveform curve is included.

[0042] The absolute descending area means the area of the waveform descending region on the curve of the high-frequency QRS waveform. The first function calculates the area of the closed region specified by the reference amplitude and the reference waveform curve to obtain the absolute descending area, but is not specifically limited here. When there are multiple closed regions specified by the reference amplitude and the reference waveform curve, only the areas of each closed region located below the reference amplitude (the RMS voltage of each point in the closed region is respectively below the reference amplitude) are calculated to obtain the absolute descending area.

[0043] Specifically, from the curve of the high-frequency QRS waveform, a curve located between a first reference point and a second reference point, which are the start point and the end point of the curve of the reference waveform respectively, is selected to obtain the curve of the reference waveform. The maximum value of the RMS voltage on the curve of the reference waveform or the RMS voltage at the start point is used as the reference amplitude. The closed region specified by the reference amplitude and the curve of the reference waveform is determined as the waveform descent region of the curve of the high-frequency QRS waveform. The area of the waveform descent region is calculated using a first function to obtain the absolute descent area, and the absolute descent area is used as the area of the waveform descent region of the curve of the corresponding high-frequency QRS waveform. As an example, the area of the waveform descent region includes the absolute descent area. The area threshold interval includes the absolute area threshold interval, and four absolute area threshold intervals, namely, a first absolute area threshold interval to a fourth absolute area threshold interval, where the priority of attention gradually decreases, are preset. When the absolute descent area is located in the first absolute area threshold interval, the consideration level is determined as the first consideration level. When the absolute descent area is located in the second absolute area threshold interval, the consideration level is determined as the second consideration level, and so on. The absolute descent area for comparison with the absolute area threshold interval may be the sum value or the average value of the absolute descent areas corresponding to each electrocardiogram lead, or may be the maximum value among the absolute descent areas corresponding to each electrocardiogram lead. When the absolute descent area for comparison is the average value, each absolute area threshold interval is, for example, 8 or more, 5 or more and less than 8, 3 or more and less than 5, and less than 3 respectively. The number of absolute area threshold intervals and the numerical values of the corresponding intervals are only examples and are not intended to be specifically limited.

[0044] In the above embodiment, based on the curve of the high-frequency QRS waveform, the first reference point and the second reference point, the curve of the reference waveform is determined, and the absolute descent area of the waveform descent region is calculated based on the curve of the reference waveform, so as to determine the consideration level for the doctor's reference based on the absolute descent area, and improve the accuracy of identifying the health status of the heart.

[0045] In some embodiments, the area of the waveform descent region further includes a relative descent area, and S108 further includes calculating a reference area using a second function based on the curve of the reference waveform, and obtaining a relative descent area based on the absolute descent area and the reference area.

[0046] The relative descending area means the value of the ratio between the area of the waveform descending region on the curve of the high-frequency QRS waveform and the corresponding reference area. The second function obtains the reference area by calculating the area of the closed region specified by the curve of the reference waveform and the horizontal axis, but is not specifically limited here. Specifically, after selecting the curve of the reference waveform on the curve of the high-frequency QRS waveform based on the first reference point and the second reference point, the closed region specified by the curve of the reference waveform and the reference axis where the RMS voltage corresponding thereto is 0 (i.e., the horizontal axis of the high-frequency QRS waveform diagram) is determined as the reference region, and the reference area is obtained by calculating the area of the reference region with the second function. By calculating the value of the ratio between the absolute descending area and the reference area, the relative descending area of the curve of the corresponding high-frequency QRS waveform is obtained, and based on the absolute descending area and the relative descending area of the curve of the high-frequency QRS waveform, the area of the corresponding waveform descending region is obtained.

[0047] Taking as an example that the area of the waveform descending region further includes the relative descending area, the area threshold interval further includes the relative area threshold interval, and four relative area threshold intervals, namely the first relative area threshold interval to the fourth relative area threshold interval, where the priority order of attention gradually decreases, are preset. Based on various combination forms of the absolute area threshold interval where the absolute descending area is located and the relative area threshold interval where the relative descending area is located, the corresponding consideration level is determined. For example, when the absolute descending area is located in the first absolute area threshold interval and the relative descending area is located in the first relative area threshold interval, the consideration level is determined to be the first level. When the absolute descending area is located in the first absolute area threshold interval and the relative descending area is located in the second relative area threshold interval, the consideration level is determined to be the second level, and not all are exemplified here. Similarly, the relative descending area for comparison with the relative area threshold interval may be the total value, average value or maximum value of the relative descending areas corresponding to each electrocardiogram lead. When the relative descending area for comparison is the average value, each relative area threshold interval is, for example, 50% or more, more than 30% and less than 50%, more than 10% and less than 30%, and less than 10% respectively. The number of relative area threshold intervals and the numerical values of the corresponding intervals are only examples and are not intended to be specifically limited.

[0048] In some embodiments, a plurality of area threshold intervals are pre-arranged with respect to the area of the waveform descent region. When the area of the waveform descent region includes the absolute descent area, each absolute area threshold interval is determined as the area threshold interval. However, when the area of the waveform descent region includes both the absolute descent area and the relative descent area, based on the combination of each absolute area threshold interval and the relative area threshold interval, each area threshold interval and the consideration level corresponding to each area threshold interval are determined. For example, when the first area threshold interval includes the first absolute area threshold interval and the first relative area threshold interval, the corresponding consideration level is the first consideration level. Also, for example, when the second area threshold interval includes the first absolute area threshold interval and the second relative area threshold interval, or includes the second absolute area threshold interval and the first relative area threshold interval, the corresponding consideration level is the second consideration level, and so on. A plurality of area threshold intervals can be obtained, and not all are exemplified here. Thereby, based on the area of the waveform descent region of the curve of the high-frequency QRS waveform and the area threshold interval, the corresponding consideration level can be obtained.

[0049] Illustrated with examples, when the area of the waveform descent region is located in the first area threshold interval, the consideration level is determined to be the first consideration level. When the area of the waveform descent region is located in the second area threshold interval, the consideration level is determined to be the second consideration level, and so on. Similarly, the area of the waveform descent region for comparison with the area threshold interval may be the sum value, average value, or maximum value of the areas of the waveform descent regions corresponding to each electrocardiogram lead. Taking the average value as an example, the average value of the areas of the waveform descent regions corresponding to each electrocardiogram lead includes the average value of the absolute descent areas corresponding to each electrocardiogram lead and the average value of the relative descent areas corresponding to each electrocardiogram lead. Correspondingly, when the average value (or sum value / maximum value) of the absolute descent areas corresponding to each electrocardiogram lead is located in the first absolute area threshold interval in the first area threshold interval, and the average value (or sum value / maximum value) of the relative descent areas corresponding to each electrocardiogram lead is located in the first relative area threshold interval in the first area threshold interval, it is determined that the area of the waveform descent region is located in the first area threshold interval. Since the same applies to other situations, not all are exemplified here.

[0050] In the above embodiment, by combining the curve of the reference waveform with the relative and absolute descending areas determined by the absolute descending area, a consideration level with a higher reference value for the doctor's reference can be obtained, and the accuracy of identifying the health state of the heart can be further improved.

[0051] In some embodiments, FIG. 2 provides a schematic diagram for calculating the area of the corresponding waveform descending region based on the high-frequency QRS waveform diagram. As shown in FIG. 2, the high-frequency QRS waveform diagram displays the curve of the high-frequency QRS waveform corresponding to electrocardiogram lead III. The horizontal axis is time with the unit of minute, and the vertical axis is RMS voltage / amplitude with the unit of microvolt. The time range corresponding to the exercise stage in the curve of the high-frequency QRS waveform is 0 to 6 minutes. Select the starting point and the ending point of the exercise stage as the first reference point and the second reference point respectively. Determine the RMS voltage of the first reference point as the reference amplitude. Determine the reference amplitude, the curve of the high-frequency QRS waveform, and the closed region specified by the second reference point as the waveform descending region of the curve of the high-frequency QRS waveform. Determine the area S1 of the waveform descending region as the absolute descending area of the curve of the high-frequency QRS waveform. Determine the closed region specified by the first reference point, the second reference point, the curve of the high-frequency QRS waveform, and the horizontal axis as the reference region. Determine the area S2 of the reference region as the reference area. Determine the ratio (S1 / S2) of the absolute descending area S1 to the reference area S2 as the relative descending area of the curve of the high-frequency QRS waveform. Take the absolute descending area and / or the relative descending area as the area of the waveform descending region of the curve of the high-frequency QRS waveform.

[0052] It can be understood that the schematic diagram for calculating the curve of the high-frequency QRS waveform shown in FIG. 2 and the area of its waveform descending region is only an example and is not intended to be specifically limited. For example, referring to the selection options provided in one or more embodiments of the present application, the first reference point, the second reference point, the reference amplitude, and the reference region can be selected, and the area of the corresponding waveform descending region can be calculated.

[0053] In some embodiments, as shown in FIG. 3, an exercise stress electrocardiogram data analysis method is provided, specifically including the following steps. In S302, exercise stress electrocardiogram data is acquired. In S304, the high-frequency components of the QRS complex in the exercise stress electrocardiogram data are analyzed to obtain a curve of the high-frequency QRS waveform. In S306, the start point and end point of the exercise stage are selected from the curve of the high-frequency QRS waveform as a first reference point and a second reference point, respectively. In S308, a curve of a candidate waveform is selected from the curve of the high-frequency QRS waveform, a point where the RMS voltage on the curve of the candidate waveform is maximized is selected as the first reference point, and a point where the RMS voltage after the first reference point is minimized is selected as the second reference point. In S310, a curve of a candidate waveform is selected from the curve of the high-frequency QRS waveform, a point where the RMS voltage on the curve of the candidate waveform is maximized is selected as the first reference point, and the end point of the exercise stage is selected as the second reference point. In S312, a curve located between the first reference point and the second reference point is selected from the curve of the high-frequency QRS waveform as a curve of a reference waveform. In S314, a reference amplitude is determined based on the curve of the reference waveform. In S316, based on the reference amplitude and the curve of the reference waveform, the absolute down area is calculated with a first function. In S318, based on the curve of the reference waveform, the reference area is calculated with a second function. In S320, a relative down area is obtained based on the absolute down area and the reference area. In S322, based on the relative down area and the absolute down area, a consideration level corresponding to the exercise stress electrocardiogram data is determined.

[0054] In some embodiments, the exercise stress electrocardiogram data analysis method further includes determining a reference index including at least one of a relative amplitude drop value, an induced positive index, a positive location, and a waveform type based on the curve of the high-frequency QRS waveform. S110 includes determining a consideration level corresponding to the exercise stress electrocardiogram data based on the area of the waveform drop region and the reference index.

[0055] The relative amplitude drop value can evaluate the blood flow changes of the heart in human movement and can be applied to the evaluation of myocardial ischemia. The relative amplitude drop value can indicate different degrees of myocardial ischemia. For example, a large relative amplitude drop value indicates that the degree of myocardial ischemia may be high. The waveform type indicates the shape category to which the waveform change of the high-frequency QRS waveform curve belongs. Specifically, it indicates the change trend or the displayed shape of the entire high-frequency QRS waveform.

[0056] Specifically, based on the curve of the high-frequency QRS waveform, at least one of the relative amplitude drop value, the induced positive index, the positive location, and the waveform type is determined, and on the basis of the area of the waveform drop region, at least one of the relative amplitude drop value, the induced positive index, the positive location, and the waveform type is considered to determine the consideration level of the corresponding exercise stress electrocardiogram data.

[0057] In some embodiments, from the curve of the high-frequency QRS waveform, the curve located in a preset time zone is selected as the curve of the candidate waveform, the point where the RMS voltage of the curve of the candidate waveform is the maximum is selected as the third reference point, and the point where the RMS voltage of the curve of the candidate waveform after the third reference point is the minimum is selected as the fourth reference point. From the difference between the RMS voltage of the third reference point and the RMS voltage of the fourth reference point, the absolute amplitude drop value is obtained, and the value of the ratio of the absolute amplitude drop value to the RMS voltage of the third reference point is determined as the relative amplitude drop value. In this way, it is possible to comprehensively determine a more reference-worthy consideration level in consideration of the relative amplitude drop value. The third reference point and the fourth reference point can be appropriately adjusted based on parameters such as the age, height, and weight of the subject.

[0058] In some embodiments, in order to determine the consideration level after comprehensively considering the relative amplitude drop value, a plurality of amplitude threshold intervals are preset for the relative amplitude drop value. Since the specific evaluation logic is similar to the area of the waveform drop region, it is omitted here. When determining the consideration level after comprehensively considering the relative amplitude drop value, specifically, based on each combination form between the relative amplitude drop value and other reference indicators (for example, the area of the waveform drop region), the corresponding consideration level is determined. The amplitude threshold interval may be set according to the actual situation.

[0059] As an example of determining the consideration level by combining the relative amplitude drop value and the area of the waveform drop region, four amplitude threshold intervals, namely the first amplitude threshold interval to the fourth amplitude threshold interval, with the priority order of attention decreasing sequentially, are preset. For example, when they are respectively 70% or more, 65% or more and less than 70%, 55% or more and less than 65%, and less than 55%, based on each combination form of the area of the waveform drop region and the relative amplitude drop value, the corresponding consideration level is determined. For example, when the area of the waveform drop region is located in the first area threshold interval and the relative amplitude drop value is located in the first amplitude threshold interval, the consideration level is determined to be the first consideration level. However, when the area of the waveform drop region is located in the first area threshold interval and the relative amplitude drop value is located in the second amplitude threshold interval, or when the area of the waveform drop region is located in the second area threshold interval and the relative amplitude drop value is located in the first amplitude threshold interval, the consideration level is determined to be the second consideration level. However, not all are exemplified here. Similarly, the relative amplitude drop value for comparison with the amplitude threshold interval is the total value, average value or maximum value of the relative amplitude drop values corresponding to each electrocardiogram lead. The number of amplitude threshold intervals and the numerical values of the corresponding intervals are only examples and are not intended to be specifically limited.

[0060] In some embodiments, after obtaining the absolute amplitude drop value and the relative amplitude drop value corresponding to the curve of the high-frequency QRS waveform, based on the relative amplitude drop value and the absolute amplitude drop value, the positive induction index of the curve of the corresponding high-frequency QRS waveform is determined as the positive induction index of the corresponding electrocardiogram lead, so as to comprehensively determine a more reference-worthy consideration level after considering the positive induction index.

[0061] In some embodiments, when the absolute value of the amplitude drop and the relative value of the amplitude drop of the high-frequency QRS waveform curve each meet the predetermined conditions, the induced positive indicator indicates that the corresponding electrocardiogram induction is positive. The predetermined conditions may be set according to the actual detection situation, but can be appropriately adjusted based on factors such as the age, gender, height, and weight of the subject. For example, the absolute value of the amplitude drop is greater than 1 uV, and the relative value of the amplitude drop is greater than 50%, but it is not specifically limited here. When the induced positive indicator corresponding to the electrocardiogram induction shows positive, a warning color such as red or yellow is applied to the curve of the high-frequency QRS waveform shown in the corresponding high-frequency QRS waveform diagram, but it is not specifically limited here.

[0062] In some embodiments, the fact that the induced positive indicator shows positive indicates that there are abnormal blood flow changes in the myocardium corresponding to the electrocardiogram induction. The greater the number of electrocardiogram inductions for which the induced positive indicator shows positive, the greater the possibility that there are problems in the heart. Thus, after comprehensively considering the induced positive indicators corresponding to each electrocardiogram induction, a consideration level with more reference value for doctors' reference can be obtained. For example, the consideration level can be determined based on the area of the waveform drop region corresponding to each electrocardiogram induction for which the induced positive indicator shows positive. For example, the consideration level can be determined based on the total value, average value, or maximum value of the areas of the waveform drop regions corresponding to each electrocardiogram induction for which the induced positive indicator shows positive, or on the area of the waveform drop region corresponding to each electrocardiogram induction (for example, the total value, average value, or maximum value of the areas of the waveform drop regions corresponding to each electrocardiogram induction), considering the number of positive inductions for which the induced positive indicator shows positive, the consideration level can be determined, but not all are exemplified here.

[0063] When determining the consideration level while taking into account the number of positive inductions where the induced positive indicator shows positive, it is understandable that by presetting a plurality of quantity threshold intervals, the consideration level is determined after comprehensively considering the quantity threshold interval in which the number of positive inductions is located. To illustrate with an example, four quantity threshold intervals, namely the first quantity threshold interval to the fourth quantity threshold interval, where the priority order of attention gradually decreases, are preset. For example, if they are respectively 8 or more, 5 or more and less than 8, 3 or more and less than 5, and less than 3, when the number of positive inductions is located in the first quantity threshold interval and the average value (or total value / maximum value) of the area of the waveform descent region corresponding to each electrocardiogram induction is located in the first area threshold interval, the consideration level is determined to be the first consideration level. However, when the number of positive inductions is located in the first quantity threshold interval and the average value (or total value / maximum value) of the area of the waveform descent region corresponding to each electrocardiogram induction is located in the second area threshold interval, or when the number of positive inductions is located in the second quantity threshold interval and the average value (or total value / maximum value) of the area of the waveform descent region corresponding to each electrocardiogram induction is located in the first area threshold interval, the consideration level is determined to be the second consideration level. Here, not all cases are exemplified. The number of quantity threshold intervals and the numerical values of the corresponding intervals are only examples and are not intended to be specifically limited.

[0064] In some embodiments, by comprehensively determining a consideration level that is more valuable for doctors' reference while taking into account the area of the waveform descent region, the relative value of amplitude descent, and the induced positive indicator corresponding to each electrocardiogram induction, the accuracy of identifying the heart's health status is improved. The correspondence between the combined forms of each reference indicator and the consideration level may specifically refer to the correspondence provided in one or more embodiments of the present application, and it is understandable that the description is omitted here. For example, based on the area of the waveform descent region (absolute descent area and / or relative descent area) and the relative value of amplitude descent of each electrocardiogram induction where the induced positive indicator shows positive, the consideration level is determined, or based on the area of the waveform descent region, the relative value of amplitude descent, and the number of positive inductions where the induced positive indicator shows positive for each electrocardiogram induction, the consideration level is determined.

[0065] To explain with an example, when the average value (or total value / maximum value) of the area of the waveform descent region corresponding to each electrocardiogram lead for which the induced positive index indicates positive is located within the first area threshold interval, and the average value (or total value / maximum value) of the relative amplitude drop corresponding to each electrocardiogram lead for which the induced positive index indicates positive is located within the first amplitude threshold interval, the consideration level is determined to be the first consideration level. However, when the average value (or total value / maximum value) of the area of the waveform descent region corresponding to each electrocardiogram lead for which the induced positive index indicates positive is located within the first area threshold interval, and the average value (or total value / maximum value) of the relative amplitude drop corresponding to each electrocardiogram lead for which the induced positive index indicates positive is located within the second amplitude threshold interval, the consideration level is determined to be the second consideration level. Here, not all cases are exemplified.

[0066] Also, for example, when the average value (or total value / maximum value) of the area of the waveform descent region corresponding to each electrocardiogram lead is located within the first area threshold interval, and the average value (or total value / maximum value) of the relative amplitude drop corresponding to each electrocardiogram lead is located within the first amplitude threshold interval, and the number of positive leads for which the induced positive index indicates positive is located within the first quantity threshold interval, the consideration level is determined to be the first consideration level. However, when the average value (or total value / maximum value) of the area of the waveform descent region corresponding to each electrocardiogram lead is located within the first area threshold interval, and the average value (or total value / maximum value) of the relative amplitude drop corresponding to each electrocardiogram lead is located within the second amplitude threshold interval, and the number of positive leads for which the induced positive index indicates positive is located within the first quantity threshold interval, the consideration level is determined to be the second consideration level. Here, not all cases are exemplified.

[0067] In some embodiments, based on the combination of each electrocardiogram lead in which the induced positive index shows positive, a positive location applicable to the evaluation of the range or area of myocardial ischemia is determined, and based on the area of the waveform descending region of each electrocardiogram lead, the induced positive index, and the positive location, a more referential consideration level is determined. For example, when the electrocardiogram leads in which the induced positive index shows positive include V3, V4, and V5, it can be confirmed that at least the positive location includes the right ventricle. For the positive location, a plurality of predetermined positions may be set, denoted as the first predetermined position, the second predetermined position, … in ascending order of the priority of attention. When the average value (or total value / maximum value) of the area of the waveform descending region corresponding to each electrocardiogram lead in which the induced positive index shows positive is located in the first area threshold interval and the positive location is the first predetermined position, the consideration level is determined as the first consideration level. When the average value (or total value / maximum value) of the area of the waveform descending region corresponding to each electrocardiogram lead in which the induced positive index shows positive is located in the first area threshold interval and the positive location is the second predetermined position, or when the average value (or total value / maximum value) of the area of the waveform descending region corresponding to each electrocardiogram lead in which the induced positive index shows positive is located in the second area threshold interval and the positive location is the first predetermined position, the consideration level is determined as the second consideration level, but no more examples will be given here.

[0068] In some embodiments, by comprehensively considering the area of the waveform descent region corresponding to each electrocardiogram lead, the relative amplitude drop value, the lead positive index, and the positive location determined based on the electrocardiogram leads for which the lead positive index indicates positive, a consideration level that is more valuable for reference by a doctor can be obtained. The correspondence relationship between the combination form of each reference index and the consideration level may specifically refer to the correspondence relationship provided in one or more embodiments of the present application, which is omitted here. For example, when the average value (or total value / maximum value) of the area of the waveform descent region corresponding to each electrocardiogram lead for which the lead positive index indicates positive is located in the first area threshold interval, and the average value (or total value / maximum value) of the relative amplitude drop value corresponding to each electrocardiogram lead for which the lead positive index indicates positive is located in the first amplitude threshold interval, and the positive location includes the first predetermined position, the consideration level is determined to be the first consideration level. However, when the average value (or total value / maximum value) of the area of the waveform descent region corresponding to each electrocardiogram lead for which the lead positive index indicates positive is located in the first area threshold interval, and the average value (or total value / maximum value) of the relative amplitude drop value corresponding to each electrocardiogram lead for which the lead positive index indicates positive is located in the first amplitude threshold interval, and the positive location includes the second predetermined position, the consideration level is determined to be the second consideration level, and not all are exemplified here.

[0069] In some embodiments, by using a third function to determine the corresponding waveform type based on the curve of the high-frequency QRS waveform, and considering the area of the waveform descending region and the waveform type of the curve of the high-frequency QRS waveform, the consideration level corresponding to the exercise stress electrocardiogram data is comprehensively determined. Specifically, the third function is used to match a predetermined shape with the curve of the high-frequency QRS waveform, and the waveform type of the curve of the high-frequency QRS waveform is determined based on the degree of match. For example, a predetermined shape category with a degree of match equal to or greater than a predetermined match threshold is determined as the waveform type of the curve of the corresponding high-frequency QRS waveform. Alternatively, the third function is used to select fixed points that display shape changes from the curve of the high-frequency QRS waveform, and the shape category of the graph formed by each fixed point according to the time series is determined as the waveform type of the curve of the corresponding high-frequency QRS waveform. The predetermined match threshold and the predetermined shape may be set according to the actual situation. For example, the predetermined match threshold is 80%, and the predetermined shape includes, but is not limited to, W, V, v (small V), U, L, inverse N, etc.

[0070] In some embodiments, the fixed points that display shape changes are located at the peak and / or valley positions of the curve of the high-frequency QRS waveform. The third function is used to sequentially calculate the RMS voltage difference between two adjacent fixed points in time series, perform connection processing in time series for each fixed point where the corresponding RMS voltage difference is greater than a predetermined difference threshold, and determine the shape category of the connected image as the waveform type of the curve of the corresponding high-frequency QRS waveform. The predetermined difference threshold may be determined based on the maximum value of each RMS voltage difference.

[0071] In some embodiments, the waveform type is used for the evaluation of myocardial ischemia. However, due to the limitations of the existing waveform type determination methods, there is a problem that the waveform type cannot be accurately determined. For example, there is a problem that it is usually impossible to clearly distinguish V and v (small V) that evaluate different myocardial ischemia situations. Thus, by comprehensively considering the area of the waveform descending region and the waveform type, the waveform type is corrected by the area of the waveform descending region, and a more reference-worthy consideration level can be obtained.

[0072] In some embodiments, by arranging a plurality of pre-set categories for waveform types, on the basis of the area of the waveform descent region, the pre-set category to which the waveform type belongs is comprehensively considered to determine a more referential consideration level. To illustrate with an example, four pre-set categories, namely the first to fourth pre-set categories with the priority order of attention decreasing sequentially, are arranged. For example, the first pre-set category includes at least one of U and L, the second pre-set category includes V, the third pre-set category includes at least one of W and v (small V), and the fourth pre-set category includes at least one of inverse N and flat type. When the average value (or total value / maximum value) of the area of the waveform descent region of each electrocardiogram lead is located in the first area threshold interval and the waveform type is the first pre-set category, the consideration level is determined as the first consideration level. However, when the average value (or total value / maximum value) of the area of the waveform descent region of each electrocardiogram lead is located in the first area threshold interval and the waveform type is the second pre-set category, or when the average value (or total value / maximum value) of the area of the waveform descent region of each electrocardiogram lead is located in the second area threshold interval and the waveform type is the first pre-set category, the consideration level is determined as the second consideration level, but not all cases are exemplified here. The fact that the waveform type is the second pre-set category indicates that the highest priority order of attention of the waveform type corresponding to each electrocardiogram lead is the second pre-set category, that is, although there is no electrocardiogram lead in which the corresponding waveform type is the first pre-set category, there is an electrocardiogram lead in which the corresponding waveform type is the second pre-set category.

[0073] In some embodiments, at least one of the amplitude drop relative value, the induced positive index, and the location of the positive can be comprehensively considered in terms of the area of the waveform drop region and the waveform type, so as to obtain a consideration level that is more valuable for doctors to refer to. The correspondence between the combination form of each reference index and the consideration level may specifically refer to the correspondence provided in one or more embodiments of the present application, and it is understandable that this is omitted here. For example, when the average value of the area of the waveform drop region of each electrocardiogram induction is located in the first area threshold interval, the average value of the relative amplitude drop value of each electrocardiogram induction is located in the first amplitude threshold interval, and the waveform type is the first preset category, the consideration level is determined to be the first consideration level. Also, for example, when the average value of the area of the waveform drop region of each electrocardiogram induction showing positive for the induced positive index is located in the first area threshold interval, the average value of the relative amplitude drop value of each electrocardiogram induction showing positive for the induced positive index is located in the first amplitude threshold interval, and the waveform type is the first preset category, the consideration level is determined to be the first consideration level. Also, for example, on the basis of the above examples, when the location of the positive is the first predetermined position, the consideration level is determined to be the first consideration level.

[0074] In some embodiments, as an example, considering comprehensively the area of the waveform descent region, the relative amplitude descent value, the induced positive index, the location of the positivity, and the waveform type, the consideration level is determined. When the average value (or total value / maximum value) of the areas of the waveform descent regions of each electrocardiogram lead for which the induced positive index indicates positivity is located within the first area threshold interval, the average value (or total value / maximum value) of the relative amplitude descent values of each electrocardiogram lead for which the induced positive index indicates positivity is located within the first amplitude threshold interval, the location of the positivity is the first predetermined location, and the waveform type is the first preset category, the consideration level is determined to be the first consideration level. However, when the average value (or total value / maximum value) of the areas of the waveform descent regions of each electrocardiogram lead for which the induced positive index indicates positivity is located within the first area threshold interval, the average value (or total value / maximum value) of the relative amplitude descent values of each electrocardiogram lead for which the induced positive index indicates positivity is located within the second amplitude threshold interval, the location of the positivity is the first predetermined location, and the waveform type is the second preset category, the consideration level is determined to be the second consideration level. Here, not all combinations of reference indicators and their corresponding consideration levels are exemplified.

[0075] In the above embodiments, considering at least one of the reference indicators such as the relative amplitude descent value, the induced positive index, the location of the positivity, and the waveform type on the area of the waveform descent region of the high-frequency QRS waveform curve, a consideration level with higher consistency with the myocardial ischemia situation that is valuable for doctors' reference can be obtained. When doctors identify the health status of the heart based on the more valuable consideration level and clinical symptoms, the accuracy of the identification of the health status of the heart can be improved.

[0076] In some embodiments, the above exercise stress electrocardiogram data analysis method includes obtaining load exercise detection parameters corresponding to the exercise stress electrocardiogram data and determining a correction coefficient based on the load exercise detection parameters. S110 includes correcting the area of the waveform descent region based on the correction coefficient and determining the consideration level corresponding to the exercise stress electrocardiogram data based on the corrected area of the waveform descent region.

[0077] The load exercise detection parameters are the detection parameters collected in load exercise electrocardiogram detection, including but not limited to the load level, total metabolic equivalent level, and the value of the ratio of the actual maximum heart rate to the target heart rate value. The total metabolic equivalent level means the total sum of metabolic energy per unit time. The target heart rate value is dynamically determined based on the age of the subject. For example, the target heart rate value = (220 - the age of the subject) × 85%.

[0078] In some embodiments, the correction coefficient is a function determined by each load exercise detection parameter. By multiplying the area of the waveform descent region calculated based on the curve of the high-frequency QRS waveform by the correction coefficient, the correction of the area of the waveform descent region is achieved, and the product is used as the area of the corrected waveform descent region.

[0079] In some embodiments, the weighted sum of each load exercise detection parameter is obtained, the corresponding correction coefficient is acquired, the area of the waveform descent region is corrected based on the correction coefficient, and based on the area of the corrected waveform descent region, the consideration level of the exercise load electrocardiogram data is determined according to one or more embodiments of the present application. It can be understood that the weights of each load exercise detection parameter may be set according to actual needs and are not specifically limited.

[0080] In some embodiments, at least one of the relative amplitude drop value, induced positive index, positive location, and waveform type is considered on the basis of the area of the corrected waveform descent region to comprehensively determine the consideration level of the exercise load electrocardiogram data, and a consideration level with more reference value for the doctor's reference can be obtained. Referring to the method provided in one or more embodiments of the present application, at least one of the reference indicators such as the relative amplitude drop value, induced positive index, positive location, and waveform type is comprehensively considered on the basis of the area of the corrected waveform descent region, and the corresponding consideration level may be determined, which can be understood and omitted here.

[0081] In the above embodiment, when determining the consideration level of the exercise stress electrocardiogram data, not only the area of the waveform descent region obtained based on the analysis of the exercise stress electrocardiogram data, but also the load exercise detection parameters corresponding to the subject when collecting the exercise stress electrocardiogram data are considered. Thus, a consideration level with a higher reference value for doctors' reference can be obtained, and the accuracy of identifying the heart's health status can be improved.

[0082] In the flowcharts of FIGS. 1 and 3, each step is sequentially displayed as indicated by the arrows. However, it should be understood that these steps are not necessarily executed sequentially in the order indicated by the arrows. Unless specifically described in this specification, there is no strict order restriction for the execution of these steps, and they may be executed in other orders. Also, at least a part of the steps in FIGS. 1 and 3 may include multiple steps or multiple stages. These steps or stages are not necessarily executed until completion at the same time, and may be executed at different times. The execution procedures of these steps or stages are not necessarily sequential, and may also be executed in order or alternately with at least a part of the steps or stages in other steps or other steps.

[0083] In some embodiments, as shown in FIG. 4, an exercise stress electrocardiogram data analysis apparatus 400 is provided, which includes an acquisition module 401, an analysis module 402, a selection module 403, an evaluation index determination module 404, and a consideration level determination module 405. Among them, the acquisition module 401 acquires exercise stress electrocardiogram data. The analysis module 402 analyzes the high-frequency components of the QRS complex in the exercise stress electrocardiogram data to obtain a curve of the high-frequency QRS waveform. The selection module 403 selects a first reference point and a second reference point from the curve of the high-frequency QRS waveform. The evaluation index determination module 404 determines the area of the corresponding waveform descent region based on the first reference point, the second reference point, and the curve of the high-frequency QRS waveform. The consideration level determination module 405 determines the consideration level corresponding to the exercise stress electrocardiogram data based on the area of the waveform descent region. The selection module selects the start point and the end point of the exercise stage from the curve of the high-frequency QRS waveform as the first reference point and the second reference point respectively, or selects a curve of a candidate waveform from the curve of the high-frequency QRS waveform, selects the point where the RMS voltage of the curve of the candidate waveform is the maximum as the first reference point, and selects the point where the RMS voltage after the first reference point is the minimum as the second reference point, or selects a curve of a candidate waveform from the curve of the high-frequency QRS waveform, selects the point where the RMS voltage of the curve of the candidate waveform is the maximum as the first reference point, and selects the end point of the exercise stage as the second reference point.

[0084] In some embodiments, the area of the waveform descent region includes the absolute descent area. The evaluation index determination module 404 selects a curve located between the first reference point and the second reference point from the curve of the high-frequency QRS waveform as the curve of the reference waveform, determines the reference amplitude based on the curve of the reference waveform, and calculates the absolute descent area with a first function based on the reference amplitude and the curve of the reference waveform.

[0085] In some embodiments, the area of the waveform descent region further includes the relative descent area. The evaluation index determination module 404 calculates the reference area with a second function based on the curve of the reference waveform, and obtains the relative descent area based on the absolute descent area and the reference area.

[0086] In some embodiments, the evaluation index determination module 404 determines a reference index including at least one of the relative amplitude drop value, the induced positive index, the positive location, and the waveform type based on the curve of the high-frequency QRS waveform. The consideration level determination module 405 determines the consideration level corresponding to the exercise stress electrocardiogram data based on the area of the waveform drop region and the reference index.

[0087] In some embodiments, the acquisition module 401 acquires the load exercise detection parameters corresponding to the exercise stress electrocardiogram data. The evaluation index determination module 404 determines a correction coefficient based on the load exercise detection parameters. The consideration level determination module 405 corrects the area of the waveform drop region based on the correction coefficient, and determines the consideration level corresponding to the exercise stress electrocardiogram data based on the corrected area of the waveform drop region.

[0088] Specific limitations regarding the exercise stress electrocardiogram data analysis device may refer to the limitations regarding the above-described exercise stress electrocardiogram data analysis method, which are omitted here. Each module in the above exercise stress electrocardiogram data analysis device can be implemented in whole or in part by software, hardware, and combinations thereof. Each of the above modules may be built into the processor in a computer device in hardware form or be independent, or may be stored in the memory in a computer device in software form, whereby the processor calls and executes the operations corresponding to each of the above modules.

[0089] In some embodiments, a computer device is provided, and the internal structure of the computer device may be shown in FIG. 5. The computer device includes a processor, a memory, and a network interface connected by a system bus. Also, 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 operating system (OS), computer-readable instructions, and a database are stored in the non-volatile storage medium. The internal memory provides an environment for the execution of the operating system and computer programs in the non-volatile storage medium. The database of the computer device stores exercise stress electrocardiogram data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, an exercise stress electrocardiogram data analysis method is implemented.

[0090] For those skilled in the art, the configuration shown in FIG. 5 is only a block diagram of a part of the configuration 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. It can be understood that a specific computer device may include more or fewer components than those shown in the figure, some components may be combined, or different arrangements of components may be used.

[0091] In some embodiments, a computer device is further provided. The computer device includes a memory and one or more processors, and computer-readable instructions are stored in the memory. When the computer-readable instructions are executed by the processor, the steps of the exercise stress electrocardiogram data analysis method provided in any one of the embodiments of the present application are realized.

[0092] In some embodiments, one or more non-volatile memory media storing computer-readable instructions are provided. When the computer-readable instructions are executed by one or more processors, the steps of the exercise stress electrocardiogram data analysis method provided in any one of the embodiments of the present application are realized.

[0093] Those skilled in the art can implement all or part of the processes of the methods of the above-described embodiments by instructing the relevant hardware by a computer program. The computer program can be stored in a non-volatile computer-readable storage medium, and when the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Also, any reference to the memory, database, or other media used in each embodiment provided in the present application can include at least one of non-volatile and volatile memories. The non-volatile memory can include read-only memory (ROM), tapes, floppy disks, flash memories, optical memories, etc. The volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0094] Each of the technical features of the above-described embodiments can be combined arbitrarily. For the sake of brevity of description, not all 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 considered to be within the scope described in this specification.

[0095] The above-described embodiments merely illustrate some embodiments of the present application. Although the description is specific and detailed, it should not be construed as limiting the protection scope of the invention. For those skilled in the art, without departing from the spirit of the present application, some modifications and improvements can be made, and all of these also belong to the protection scope of the present invention. Therefore, the protection scope of the present invention should conform to the scope of the claims.

Claims

1. A method for analyzing exercise stress electrocardiogram data, comprising: acquiring exercise stress electrocardiogram data; analyzing high-frequency components of the QRS complex in the exercise stress electrocardiogram data, and obtaining a curve of a high-frequency QRS waveform that displays the tendency of the RMS voltage of the high-frequency components of the QRS complex of the subject over time during the entire process of exercise stress electrocardiogram measurement; selecting a first reference point and a second reference point from the curve of the high-frequency QRS waveform; determining the area of the corresponding waveform descending region based on the first reference point, the second reference point, and the curve of the high-frequency QRS waveform; determining a consideration level corresponding to the exercise stress electrocardiogram data based on the area of the waveform descending region, wherein the selecting of the first reference point and the second reference point from the curve of the high-frequency QRS waveform comprises selecting, as the first reference point and the second reference point respectively, the starting point and the ending point of the exercise stage from the curve of the high-frequency QRS waveform, or comprises selecting a curve of a candidate waveform from the curve of the high-frequency QRS waveform, selecting, as the first reference point, the point where the RMS voltage of the curve of the candidate waveform is maximum, and selecting, as the second reference point, the point where the RMS voltage after the first reference point is minimum, or comprises selecting a curve of a candidate waveform from the curve of the high-frequency QRS waveform, selecting, as the first reference point, the point where the RMS voltage of the curve of the candidate waveform is maximum, and selecting, as the second reference point, the ending point of the exercise stage.

2. The area of the waveform descending region includes an absolute descending area, and the determining of the area of the corresponding waveform descending region based on the first reference point, the second reference point, and the curve of the high-frequency QRS waveform comprises selecting, as a curve of a reference waveform, the curve located between the first reference point and the second reference point from the curve of the high-frequency QRS waveform; determining a reference amplitude based on the curve of the reference waveform; and calculating the absolute descending area with a first function based on the reference amplitude and the curve of the reference waveform. The method according to claim 1, characterized in that.

3. The area of the waveform descending region further includes a relative descending area, and the determining of the area of the corresponding waveform descending region based on the first reference point, the second reference point, and the curve of the high-frequency QRS waveform comprises calculating a reference area with a second function based on the curve of the reference waveform. further comprising obtaining a relative descent area based on the absolute descent area and the reference area, the method according to claim 2, characterized in that.

4. further comprising determining a reference index including at least one of a relative amplitude drop value, an induced positive index, a positive location, and a waveform type based on the curve of the high-frequency QRS waveform, Based on the area of the waveform descent region, determining the consideration level corresponding to the exercise stress electrocardiogram data is determining a consideration level corresponding to the exercise stress electrocardiogram data based on the area of the waveform descent region and the reference index, the method according to any one of claims 1 to 3, characterized in that.

5. obtaining a load exercise detection parameter corresponding to the exercise stress electrocardiogram data; further comprising determining a correction coefficient based on the load exercise detection parameter; Based on the area of the waveform descent region, determining the consideration level corresponding to the exercise stress electrocardiogram data is correcting the area of the waveform descent region based on the correction coefficient; determining a consideration level corresponding to the exercise stress electrocardiogram data based on the area of the corrected waveform descent region, the method according to any one of claims 1 to 3, characterized in that.

6. An exercise stress electrocardiogram data analysis device, an acquisition module for acquiring exercise stress electrocardiogram data; an analysis module that analyzes the high-frequency components of the QRS complex in the exercise stress electrocardiogram data and obtains a curve of the high-frequency QRS waveform that displays the temporal change trend of the RMS voltage of the high-frequency components of the QRS complex of the subject during the entire process of exercise stress electrocardiogram detection; a selection module for selecting a first reference point and a second reference point from the curve of the high-frequency QRS waveform; an evaluation index determination module for determining the area of the corresponding waveform descent region based on the first reference point, the second reference point, and the curve of the high-frequency QRS waveform; a consideration level determination module for determining a consideration level corresponding to the exercise stress electrocardiogram data based on the area of the waveform descent region. The selection module selects the starting point and the ending point of the exercise stage from the curve of the high-frequency QRS waveform as a first reference point and a second reference point, respectively, or selects the curve of a candidate waveform from the curve of the high-frequency QRS waveform, selects the point where the RMS voltage of the curve of the candidate waveform is maximized as the first reference point, and selects the point where the RMS voltage after the first reference point is minimized as the second reference point, or selects the curve of a candidate waveform from the curve of the high-frequency QRS waveform, selects the point where the RMS voltage of the curve of the candidate waveform is maximized as the first reference point, and selects the ending point of the exercise stage as the second reference point, an exercise stress electrocardiogram data analysis device.

7. The area of the waveform descending region includes the absolute descending area. The evaluation index determination module selects the curve located between the first reference point and the second reference point from the curve of the high-frequency QRS waveform as the curve of the reference waveform, determines the reference amplitude based on the curve of the reference waveform, and calculates the absolute descending area with a first function based on the reference amplitude and the curve of the reference waveform. The device according to claim 6, characterized in that.

8. The area of the waveform descending region further includes the relative descending area. The evaluation index determination module calculates the reference area with a second function based on the curve of the reference waveform, and obtains the relative descending area based on the absolute descending area and the reference area. The device according to claim 7, characterized in that.

9. The evaluation index determination module determines a reference index including at least one of the relative amplitude drop value, the induced positive index, the positive location, and the waveform type based on the curve of the high-frequency QRS waveform. The consideration level determination module determines the consideration level corresponding to the exercise stress electrocardiogram data based on the area of the waveform descending region and the reference index. The device according to any one of claims 6 to 8, characterized in that.

10. The acquisition module acquires the load exercise detection parameter corresponding to the exercise stress electrocardiogram data. The evaluation index determination module determines a correction coefficient based on the load exercise detection parameter. The consideration level determination module corrects the area of the waveform descending region based on the correction coefficient, and determines the consideration level corresponding to the exercise stress electrocardiogram data based on the corrected area of the waveform descending region. The device according to any one of claims 6 to 8, characterized in that.

11. A computer device, comprising a memory and one or more processors, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the one or more processors, a step of acquiring exercise stress electrocardiogram data; a step of analyzing high-frequency components of the QRS complex in the exercise stress electrocardiogram data and obtaining a curve of a high-frequency QRS waveform that displays the temporal change trend of the RMS voltage of the high-frequency components of the QRS complex of the subject throughout the entire process of exercise stress electrocardiogram measurement; a step of selecting a first reference point and a second reference point from the curve of the high-frequency QRS waveform; a step of determining the area of the corresponding waveform descending region based on the first reference point, the second reference point, and the curve of the high-frequency QRS waveform; a step of determining a consideration level corresponding to the exercise stress electrocardiogram data based on the area of the waveform descending region, and causing the one or more processors to execute; when the computer-readable instructions are executed by the processor, further, a step of selecting, as the first reference point and the second reference point respectively, the starting point and the ending point of the exercise stage from the curve of the high-frequency QRS waveform, or a step of selecting a curve of a candidate waveform from the curve of the high-frequency QRS waveform, selecting, as the first reference point, the point where the RMS voltage of the curve of the candidate waveform is maximum, and selecting, as the second reference point, the point where the RMS voltage after the first reference point is minimum, or a step of selecting a curve of a candidate waveform from the curve of the high-frequency QRS waveform, selecting, as the first reference point, the point where the RMS voltage of the curve of the candidate waveform is maximum, and selecting, as the second reference point, the ending point of the exercise stage, and causing the one or more processors to execute, a computer device.

12. The area of the waveform descending region includes an absolute descending area, and when the processor executes the computer-readable instructions, further, a step of selecting, as a curve of a reference waveform, the curve located between the first reference point and the second reference point from the curve of the high-frequency QRS waveform; a step of determining a reference amplitude based on the curve of the reference waveform; a step of calculating the absolute descending area with a first function based on the reference amplitude and the curve of the reference waveform, and the computer device according to claim 11, characterized in that the steps are executed.

13. The area of the waveform descent region further includes a relative descent area, and when the processor executes the computer-readable instructions, further, calculating a reference area with a second function based on the curve of the reference waveform; obtaining a relative descent area based on the absolute descent area and the reference area, The computer device according to claim 12, wherein the steps are executed.

14. When the processor executes the computer-readable instructions, further, executing a step of determining a reference index including at least one of a relative amplitude drop value, an induced positive index, a positive location, and a waveform type based on the curve of the high-frequency QRS waveform; When the processor executes the computer-readable instructions, further, further executing a step of determining a consideration level corresponding to the exercise stress electrocardiogram data based on the area of the waveform descent region and the reference index, The computer device according to any one of claims 11 to 13, wherein the steps are executed.

15. When the processor executes the computer-readable instructions, further, obtaining a load exercise detection parameter corresponding to the exercise stress electrocardiogram data; determining a correction coefficient based on the load exercise detection parameter; When the processor executes the computer-readable instructions, further, correcting the area of the waveform descent region based on the correction coefficient; determining a consideration level corresponding to the exercise stress electrocardiogram data based on the area of the corrected waveform descent region, The computer device according to any one of claims 11 to 13, wherein the steps are executed.

16. One or more non-volatile computer-readable storage media storing computer-readable instructions, when the computer-readable instructions are executed by one or more processors, obtaining exercise stress electrocardiogram data; analyzing high-frequency components of the QRS complex in the exercise stress electrocardiogram data, and obtaining a curve of a high-frequency QRS waveform that displays the temporal change trend of the RMS voltage of the high-frequency components of the QRS complex of the subject during the entire process of exercise stress electrocardiogram detection; selecting a first reference point and a second reference point from the curve of the high-frequency QRS waveform; Determining the area of the corresponding waveform descent region based on the first reference point, the second reference point, and the curve of the high-frequency QRS waveform; Determining the consideration level corresponding to the exercise stress electrocardiogram data based on the area of the waveform descent region, and causing the one or more processors to execute; When the computer-readable instructions are executed by the processor, further, Selecting the start point and the end point of the exercise stage from the curve of the high-frequency QRS waveform as the first reference point and the second reference point, respectively, or Selecting a curve of a candidate waveform from the curve of the high-frequency QRS waveform, selecting a point where the RMS voltage of the curve of the candidate waveform is maximum as the first reference point, and selecting a point where the RMS voltage after the first reference point is minimum as the second reference point, or Selecting a curve of a candidate waveform from the curve of the high-frequency QRS waveform, selecting a point where the RMS voltage of the curve of the candidate waveform is maximum as the first reference point, and selecting the end point of the exercise stage as the second reference point, and causing the processor to execute, a non-volatile storage medium.

17. The area of the waveform descent region includes the absolute descent area. When the computer-readable instructions are executed by the processor, further, Selecting a curve located between the first reference point and the second reference point from the curve of the high-frequency QRS waveform as the curve of the reference waveform; Determining a reference amplitude based on the curve of the reference waveform; Calculating the absolute descent area with a first function based on the reference amplitude and the curve of the reference waveform, and causing the processor to execute, the storage medium according to claim 16, wherein the storage medium is characterized in that.

18. The area of the waveform descent region further includes a relative descent area. When the computer-readable instructions are executed by the processor, further, Calculating a reference area with a second function based on the curve of the reference waveform; Obtaining a relative descent area based on the absolute descent area and the reference area, and causing the processor to execute, the storage medium according to claim 17, wherein the storage medium is characterized in that.

19. When the computer-readable instructions are executed by the processor, further, Execute a step of determining a reference index including at least one of an amplitude drop relative value, an induced positive index, a positive location, and a waveform type based on the curve of the high-frequency QRS waveform. When the computer-readable instructions are executed by the processor, further, Execute a step of determining a consideration level corresponding to the exercise stress electrocardiogram data based on the area of the waveform drop region and the reference index. The storage medium according to any one of claims 16 to 18, characterized in that.

20. When the computer-readable instructions are executed by the processor, further, Execute a step of obtaining a load exercise detection parameter corresponding to the exercise stress electrocardiogram data, and Execute a step of determining a correction coefficient based on the load exercise detection parameter by the processor. When the computer-readable instructions are executed by the processor, further, Execute a step of correcting the area of the waveform drop region based on the correction coefficient, and Execute a step of determining a consideration level corresponding to the exercise stress electrocardiogram data based on the area of the corrected waveform drop region by the processor. The storage medium according to any one of claims 16 to 18, characterized in that.

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