CN114732418A

CN114732418A - High-frequency QRS waveform curve analysis method and device, computer equipment and storage medium

Info

Publication number: CN114732418A
Application number: CN202210645416.3A
Authority: CN
Inventors: 黄庆红; 陈运华; 左能; 陈小钦
Original assignee: Biosorp Biotechnology Co ltd
Current assignee: Biosorp Biotechnology Co ltd
Priority date: 2022-06-09
Filing date: 2022-06-09
Publication date: 2022-07-12

Abstract

The application relates to a high-frequency QRS waveform curve analysis method and device, computer equipment and storage media. The method comprises the following steps: acquiring a high-frequency QRS waveform curve; selecting a high-frequency QRS waveform curve in a first time period as a first reference waveform curve; selecting a first reference point with the maximum root mean square voltage from the first reference wave curve; selecting a second reference waveform curve with the amplitude fluctuation amplitude smaller than or equal to a preset fluctuation amplitude from the first reference waveform curve; determining a first amplitude drop relative value based on the first reference point and a starting point of the second reference wave curve; selecting a second reference point with the maximum root mean square from the high-frequency QRS waveform curve in a second time period; determining an amplitude rise relative value based on the second reference point and an end point of the second reference waveform curve; and if the first amplitude descending relative value, the amplitude ascending relative value and the duration of the second reference waveform curve meet preset conditions, determining the attention level.

Description

High-frequency QRS waveform curve analysis method and device, computer equipment and storage medium

Technical Field

The application relates to the technical field of medical instruments, in particular to a high-frequency QRS waveform curve analysis method and device, computer equipment and a storage medium.

Background

With the continuous improvement of living standard and the continuous increase of working pressure, heart diseases are more and more younger and more generalized, and heart health problems are also more and more concerned and valued. Thus, how to accurately identify the health condition of the heart is a considerable problem.

At present, the heart health condition is generally identified based on the ST-T section change in Electrocardiogram (ECG), the heart health condition is identified by fuzzy qualitative identification, the heart health condition identification accuracy is low, and if the heart health condition needs to be identified more accurately, the heart health condition identification needs to be realized based on an invasive mode such as coronary angiography.

Disclosure of Invention

In view of the above, there is a need to provide a method, an apparatus, a computer device and a storage medium for analyzing a high frequency QRS waveform curve, which can improve accuracy of identifying a heart health condition.

A method of high frequency QRS waveform curve analysis, the method comprising:

acquiring a high-frequency QRS waveform curve corresponding to the exercise electrocardiogram data;

selecting a high-frequency QRS waveform curve in a first time period as a first reference waveform curve;

selecting a point with the maximum root mean square voltage from the first reference waveform curve as a first reference point;

selecting a second reference waveform curve with the amplitude fluctuation amplitude smaller than or equal to a preset fluctuation amplitude from the first reference waveform curve;

determining a first amplitude reduction relative value based on the root mean square voltage of each of the first reference point and the starting point of the second reference wave-form curve;

selecting a point with the maximum root mean square from the high-frequency QRS waveform curve in the second time period as a second reference point;

determining an amplitude rise relative value based on the root mean square voltage of each of the second reference point and the end point of the second reference wave-form curve;

and if the first amplitude descending relative value, the amplitude ascending relative value and the duration corresponding to the second reference waveform curve meet preset conditions, determining the attention level according to the high-frequency QRS waveform curve.

In one embodiment, said determining a level of interest from said high frequency QRS waveform profile comprises:

selecting a point with the minimum root mean square voltage from the second reference waveform curve as a third reference point;

determining a second relative amplitude droop value based on the root mean square voltage of each of the first reference point and the third reference point;

determining a focus level according to the second relative value of amplitude decrease.

In one embodiment, the determining the attention level according to the second relative value of amplitude decrease includes:

selecting a fourth reference point and a fifth reference point from the high-frequency QRS waveform curve;

determining the area of a waveform descending region according to the fourth reference point, the fifth reference point and the high-frequency QRS waveform curve;

and determining the attention level according to the second amplitude decline relative value and the area of the waveform decline region.

screening a high-frequency QRS waveform curve of which the corresponding first amplitude descending relative value, amplitude ascending relative value and the duration of the second reference waveform curve meet preset conditions;

and determining attention levels according to the total number of the screened high-frequency QRS waveform curves.

determining a corresponding lead positive index according to the high-frequency QRS waveform curve;

screening a high-frequency QRS waveform curve of which the corresponding lead positive index is indicated to be positive and the duration of the corresponding first amplitude falling relative value, amplitude rising relative value and second reference waveform curve meets a preset condition;

In one embodiment, the determining a focus level according to the high-frequency QRS waveform curve if the first relative amplitude decrease value and the relative amplitude increase value and the duration corresponding to the second reference waveform curve satisfy a preset condition includes:

if the first reference point is in a third time period, the first amplitude decline relative value is greater than or equal to a first preset threshold value, the amplitude rise relative value is greater than or equal to a second preset threshold value, and the duration of the second reference waveform curve is greater than or equal to a preset duration threshold value, determining a concern level according to the high-frequency QRS waveform curve; or the like, or, alternatively,

and if the starting point of the second reference waveform curve is in a third time period, the first amplitude descending relative value is greater than or equal to a first preset threshold value, the amplitude ascending relative value is less than a second preset threshold value, and the duration of the second reference waveform curve is greater than or equal to a preset duration threshold value, determining the attention level according to the high-frequency QRS waveform curve.

In one embodiment, the first preset threshold is determined based on a root mean square voltage of the first reference point and/or a user profile of the subject; the second preset threshold is determined based on a root mean square voltage of an end point of the second reference waveform curve and/or the user profile; the preset duration threshold is determined based on the user profile.

A high frequency QRS waveform curve analysis apparatus, the apparatus comprising:

the acquisition module is used for acquiring a high-frequency QRS waveform curve corresponding to the sports electrocardiogram data;

the selection module is used for selecting a high-frequency QRS waveform curve in a first time period as a first reference waveform curve;

the selecting module is further configured to select a point with the largest root mean square voltage from the first reference waveform curve as a first reference point;

the selection module is further used for selecting a second reference waveform curve with the amplitude fluctuation amplitude smaller than or equal to a preset fluctuation amplitude from the first reference waveform curve;

a focus level determination module configured to determine a first amplitude reduction relative value based on a root mean square voltage of each of the first reference point and a start point of the second reference waveform curve;

the selecting module is further used for selecting a point with the maximum root mean square from the high-frequency QRS waveform curve in the second time period as a second reference point;

the attention level determining module is further configured to determine an amplitude rise relative value based on the root mean square voltage of each of the second reference point and the end point of the second reference waveform curve;

the attention level determining module is further configured to determine an attention level according to the high-frequency QRS waveform curve if the first amplitude decrease relative value and the amplitude increase relative value and the duration corresponding to the second reference waveform curve satisfy a preset condition.

In one embodiment, the attention level determining module is further configured to select a point with the smallest root mean square voltage from the second reference waveform curve as a third reference point; determining a second relative amplitude droop value based on the root mean square voltage of each of the first reference point and the third reference point; and determining the attention level according to the second amplitude reduction relative value.

In one embodiment, the attention level determining module is further configured to select a fourth reference point and a fifth reference point from the curve of the high frequency QRS waveform; determining the area of a waveform descending region according to the fourth reference point, the fifth reference point and the high-frequency QRS waveform curve; and determining the attention level according to the second amplitude decline relative value and the area of the waveform decline region.

In one embodiment, the attention level determining module is further configured to screen a high-frequency QRS waveform curve in which the duration of the corresponding first amplitude-decreasing relative value, amplitude-increasing relative value and second reference waveform curve satisfies a preset condition; and determining attention levels according to the total number of the screened high-frequency QRS waveform curves.

In one embodiment, the attention level determining module is further configured to determine a corresponding lead positive indicator according to the high frequency QRS waveform curve; screening a high-frequency QRS waveform curve of which the corresponding lead positive index is indicated to be positive and the duration of the corresponding first amplitude falling relative value, amplitude rising relative value and second reference waveform curve meets a preset condition; and determining attention levels according to the total number of the screened high-frequency QRS waveform curves.

In one embodiment, the attention level determining module is further configured to determine an attention level according to the high-frequency QRS waveform curve if the first reference point is within a third time period, the first amplitude decrease relative value is greater than or equal to a first preset threshold, the amplitude increase relative value is greater than or equal to a second preset threshold, and a duration of the second reference waveform curve is greater than or equal to a preset duration threshold; or, if the starting point of the second reference waveform curve is in a third time period, the first amplitude decrease relative value is greater than or equal to a first preset threshold, the amplitude increase relative value is less than a second preset threshold, and the duration of the second reference waveform curve is greater than or equal to a preset duration threshold, determining the attention level according to the high-frequency QRS waveform curve.

The method, the device, the computer equipment and the storage medium for analyzing the high-frequency QRS waveform curve respectively select the point which is in the first time period and the second time period and has the maximum root mean square voltage as the first reference point and the second reference point on the high-frequency QRS waveform curve corresponding to the moving electrocardiogram data, select the second reference waveform curve with the amplitude fluctuation amplitude smaller than or equal to the preset fluctuation amplitude from the high-frequency QRS waveform curve in the first time period, quantize the waveform change condition of the high-frequency QRS waveform curve according to the root mean square voltages of the first reference point, the second reference point, the starting point and the ending point of the second reference waveform curve and the duration of the second reference waveform curve, when the first amplitude descending relative value, the amplitude ascending relative value and the duration obtained by quantization meet the preset conditions, namely when the waveform change condition of the high-frequency QRS waveform curve is judged to meet the requirements, corresponding attention levels are determined according to the high-frequency QRS waveform curve and are referred by doctors, so that the doctors can accurately identify the heart health condition in a non-invasive mode by combining information such as clinical symptoms, and the accuracy of heart health condition identification in the non-invasive identification mode can be improved.

Drawings

Fig. 1 is a schematic flow chart of a high frequency QRS waveform curve analysis method in an embodiment;

fig. 2 is a schematic diagram of selecting reference points and reference curves based on a high frequency QRS waveform curve in one embodiment;

fig. 3 is a schematic flow chart of a high frequency QRS waveform curve analysis method in another embodiment;

fig. 4 is a block diagram of the high frequency QRS waveform curve analysis apparatus in one embodiment;

FIG. 5 is a diagram of the internal structure of a computer device in one embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application.

The high-frequency QRS waveform curve analysis method provided by the present application may be applied to a terminal, may also be applied to a server, and may also be applied to an interactive system including a terminal and a server, and is implemented by interaction between the terminal and the server, which is not specifically limited herein. The terminal can be but not limited to various personal computers, notebook computers, smart phones, tablet computers, electrocardio monitoring equipment and portable wearable equipment, and the server can be realized by an independent server or a server cluster formed by a plurality of servers.

In an embodiment, as shown in fig. 1, a method for analyzing a high-frequency QRS waveform curve is provided, which is described by taking the method as an example applied to a server, and specifically includes the following steps:

and S102, acquiring a high-frequency QRS waveform curve corresponding to the exercise electrocardiogram data.

The exercise electrocardiogram data refers to electrocardiogram data acquired in the load exercise electrocardiogram detection process. The load exercise electrocardiographic detection is an electrocardiographic detection mode which increases heart load through a certain amount of exercise to collect electrocardiographic data of a testee and analyzes the heart health condition of the testee based on the collected electrocardiographic data, and is widely applied to detection of heart diseases and cardiovascular diseases. The exercise electrocardiogram data comprises a plurality of QRS wave groups reflecting changes of the left ventricle and right ventricle depolarization potentials and time, and each QRS wave group is a set of Q waves, R waves and S waves in the electrocardiogram. And analyzing to obtain a corresponding high-frequency QRS waveform curve based on the QRS wave complex in the exercise electrocardiogram data. The high-frequency QRS waveform curve is used for representing the variation trend of the root mean square voltage of the high-frequency components of the QRS complex of a testee along with time in the whole load motion electrocardio detection process, namely the energy variation trend in the whole load motion electrocardio detection process. The high-frequency QRS waveform curve is presented by a high-frequency QRS waveform diagram, in the high-frequency QRS waveform diagram, the abscissa is time corresponding to the detection time of the load movement electrocardio detection process, and the unit is min (minutes), the ordinate is root mean square voltage (RMS voltage), and the root mean square voltage can also be understood as intensity or amplitude, and the unit is uV (microvolts).

Specifically, the corresponding moving electrocardiogram data of the testee in the whole load moving electrocardiogram detection process is obtained, and the high-frequency component of the QRS complex in the moving electrocardiogram data is analyzed to obtain a corresponding high-frequency QRS waveform curve. The exercise electrocardiogram data comprises ECG (electrocardiogram) corresponding to each heartbeat of the testee in the whole load exercise electrocardiogram detection process, and the ECG comprises QRS wave groups. The exercise electrocardiogram data are divided into a plurality of electrocardiogram data subsets through a window function according to a time sequence and a preset moving step length, and each electrocardiogram data subset comprises ECG corresponding to a plurality of heartbeats. For each electrocardiogram data subset, sequentially aligning, averaging and band-pass filtering the ECG or QRS complexes corresponding to multiple heartbeats to obtain corresponding high-frequency QRS complexes (high-frequency wave bands of the QRS complexes), and obtaining a corresponding root-mean-square voltage by solving the root-mean-square of the high-frequency QRS complexes to serve as the root-mean-square voltage/intensity/amplitude corresponding to the electrocardiogram data subset. And performing curve smoothing treatment on the root-mean-square voltage/intensity/amplitude corresponding to each electrocardiogram data subset according to the time sequence to obtain a high-frequency QRS waveform curve corresponding to the moving electrocardiogram data.

It can be understood that the window length and the preset moving step length of the window function can be defined according to actual requirements, for example, the window length is set to 10 seconds, the preset moving step length is set to 10 seconds or one heartbeat cycle, the one heartbeat cycle refers to a time interval between two adjacent heartbeats, and is not limited specifically here. The time sequence refers to the sequence of the acquisition time of the signals/the detection time advanced in the load motion electrocardio detection process.

In one embodiment, the load exercise electrocardiographic detection process comprises a plurality of stages, specifically, three stages including a rest stage, an exercise stage and a recovery stage can be included in sequence, and the exercise electrocardiographic data comprises electrocardiographic data of each stage. It is to be understood that the division of the stages is not limited thereto, and the division may be specifically performed according to actual situations.

In one embodiment, in the load exercise electrocardiographic detection process, 10 electrode slices distributed on the chest and four limbs of a human body can be adopted to form 12 electrocardiogram leads (such as V1, V2, V3, V4, V5, V6, I, II, III, aVL, aVF and aVR), and 12 groups of electrocardiographic data are correspondingly output to obtain exercise electrocardiographic data corresponding to the whole load exercise electrocardiographic detection process. It is understood that 10 electrode slices are only used as an example, and are not used to specifically limit the number of the electrode slices, and the number may be dynamically determined according to actual requirements, such as a greater or lesser number of electrode slices. Therefore, the exercise electrocardiogram data comprises electrocardiogram data corresponding to at least one electrocardiogram lead, and a high-frequency QRS waveform curve corresponding to each electrocardiogram lead is obtained by respectively analyzing high-frequency components of QRS complexes in the electrocardiogram data corresponding to each electrocardiogram lead.

And S104, selecting the high-frequency QRS waveform curve in the first time period as a first reference waveform curve.

The first time period may be a time interval determined by a preset starting time point and an ending time point, or a time interval determined by a preset starting time point and a preset time duration. The first time period may specifically include a period before the exercise, a period during the exercise, and a period after the exercise, the period before the exercise is in the resting stage, the exercise includes the whole exercise stage, the period after the exercise is in the recovery stage, and the period before the exercise, the period during the exercise, and the period after the exercise are sequentially continuous periods. Taking the corresponding time range of the exercise phase in the high-frequency QRS waveform curve as 3 to 9 minutes as an example, the first time period is a time interval represented by [1 minute 20 seconds, 9 minutes 20 seconds ], which takes the time point of 1 minute 20 seconds as a starting time point and takes the time point of 9 minutes 20 seconds as an ending time point, and the first time period includes 100 seconds before the exercise, 6 minutes in the exercise and 20 seconds after the exercise. The first reference waveform curve is a curve of the high-frequency QRS waveform curve, the time of each point on the first reference waveform curve is in a first time period, and the respective time of the starting point and the ending point of the first reference waveform curve are respectively the starting time point and the ending time point of the first time period. It is to be understood that the above examples are illustrative only and not intended to be limiting.

And S106, selecting a point with the maximum root mean square voltage from the first reference wave curve as a first reference point.

Specifically, the data for each point on the first reference waveform curve includes a time and a root mean square voltage, and the position of the point on the first reference waveform curve can be determined based on the time and the root mean square voltage of the point. And traversing the root mean square voltage of each point on the first reference waveform curve according to a time sequence, and screening the point with the maximum root mean square voltage from the first reference waveform curve based on the traversed root mean square voltage as a first reference point.

S108, selecting a second reference waveform curve with the amplitude fluctuation amplitude smaller than or equal to the preset fluctuation amplitude from the first reference waveform curve.

The amplitude fluctuation range is used to represent the fluctuation degree or variation degree of the amplitude, and particularly, the fluctuation degree between the amplitudes (that is, root mean square voltages) of the points on the second reference waveform curve. The amplitude fluctuation range of the second reference waveform curve may be specifically determined based on the maximum value and the minimum value of the root mean square voltage on the second reference waveform curve, for example, the maximum value and the minimum value of the root mean square voltage may be differentiated to obtain the corresponding amplitude fluctuation range. The preset fluctuation range may be customized according to a requirement, for example, 1uV (microvolt), the preset fluctuation range may be dynamically determined according to the root mean square voltage of the first reference point, the preset fluctuation range is dynamically determined according to a positive correlation relationship with the root mean square voltage of the first reference point, if the root mean square voltage of the first reference point is larger, the preset fluctuation range may be set to be larger, for example, if the root mean square voltage of the first reference point is 9uV, the preset fluctuation range may be set to be 1uV, further, if the root mean square voltage of the first reference point is 4uV, the preset fluctuation range may be set to be 0.5uV, which is not specifically limited herein.

Specifically, the root mean square voltage of each point on the first reference waveform curve is traversed, and a curve with the corresponding amplitude fluctuation amplitude smaller than or equal to the preset fluctuation amplitude is selected from the first reference waveform curve as a second reference waveform curve based on the traversed root mean square voltage. It can be understood that, specifically, the second reference waveform curve with the amplitude fluctuation amplitude smaller than or equal to the preset fluctuation amplitude can be selected from the first reference waveform curve with reference to the prior art, and will not be described herein again. For example, first, a curve with a corresponding amplitude fluctuation amplitude satisfying a requirement (the amplitude fluctuation amplitude is less than or equal to a preset fluctuation amplitude) and a short duration (such as 1 minute or 30 seconds) is selected from a first reference waveform curve as a candidate curve, then the candidate curve is used as a reference, the range of the candidate curve is expanded based on a point on the first reference waveform curve, which is adjacent to the front and/or the back of the candidate curve, and if the amplitude fluctuation amplitude corresponding to the candidate curve after the range expansion still satisfies the requirement, the candidate curve is continuously expanded in the above manner until the amplitude fluctuation amplitude corresponding to the candidate curve after the expansion does not satisfy the requirement, the range expansion of the candidate curve is stopped, and the candidate curve obtained by the previous range expansion is determined as a second reference waveform curve.

S110, a first amplitude decrease relative value is determined based on the root mean square voltage of each of the first reference point and the start point of the second reference wave-shaped curve.

Specifically, root mean square voltages of the starting points of the first reference point and the second reference wave curve are respectively obtained based on the first reference wave curve, the root mean square voltage of the first reference point and the root mean square voltage of the starting point of the second reference wave curve are subtracted to obtain a first amplitude reduction absolute value, and the ratio of the first amplitude reduction absolute value to the root mean square voltage of the first reference point is determined as a first amplitude reduction relative value.

And S112, selecting a point with the maximum root mean square from the high-frequency QRS waveform curve in the second time period as a second reference point.

The second time period may be a time interval determined by a preset starting time point and an ending time point. The second period of time may specifically comprise a period of time after the movement in the recovery phase. The second time period may be adjacent to the first time period, e.g., the ending time point of the first time period is the starting time point of the second time period. Taking the corresponding time range of the recovery phase in the high frequency QRS waveform curve as 9 to 12 minutes as an example, the second time period is, for example, a time interval represented by [9 minutes 20 seconds, 12 minutes ], which takes the time point of 9 minutes 20 seconds as the starting time point and takes the time point of 12 minutes as the ending time point. It is to be understood that the above examples are intended to be illustrative, and not restrictive.

Specifically, a curve in a second time period is selected from the high-frequency QRS waveform curve, the root mean square voltage of each point on the selected curve is traversed, and the point with the maximum root mean square voltage is selected from the selected curve as a second reference point based on the traversed root mean square voltage.

And S114, determining an amplitude rise relative value based on the root mean square voltage of the second reference point and the end point of the second reference wave curve.

Specifically, root mean square voltages of a second reference point and an end point of a second reference waveform curve are respectively obtained based on a first reference waveform curve, the root mean square voltage of the second reference point and the root mean square voltage of the end point of the second reference waveform curve are subtracted to obtain an amplitude rise absolute value, and the ratio of the amplitude rise absolute value to the root mean square voltage of the end point of the second reference waveform curve is determined as an amplitude rise relative value.

And S116, if the first amplitude descending relative value and the amplitude ascending relative value and the duration corresponding to the second reference waveform curve meet preset conditions, determining the attention level according to the high-frequency QRS waveform curve.

The preset condition is a constraint condition for determining whether to determine the corresponding attention level based on the high-frequency QRS waveform curve, and specifically may include that a first amplitude decrease relative value of the high-frequency QRS waveform curve is greater than or equal to a first preset threshold, an amplitude increase relative value is greater than or equal to a second preset threshold, and a duration of the second reference waveform curve is greater than or equal to a preset duration threshold. The duration of the second reference waveform curve refers to a difference between respective corresponding times of the ending point and the starting point of the second reference waveform curve. The attention levels represent the attention degree/difference of the attention degree, and can be used for indicating the difference of the heart problems for the reference of doctors in the diagnosis process, so that the doctors can accurately identify the heart health condition according to the attention level and clinical symptoms, and corresponding diagnosis and treatment reference suggestions are given. It is understood that the first preset threshold, the second preset threshold and the preset time threshold may be defined by experience, for example, the first preset threshold is set to 45%, the second preset threshold is set to 56%, and the preset time threshold is set to 3 minutes, and may also be determined dynamically according to a user profile of the subject, where the user profile includes at least one of the parameters of age, weight, gender, and load level, and is not limited herein.

Specifically, the duration of the second reference waveform curve is determined based on the respective time of the starting point and the ending point of the second reference waveform curve, the first amplitude decrease relative value, the amplitude increase relative value and the duration are respectively matched with preset conditions, and if the first amplitude decrease relative value, the amplitude increase relative value and the duration all meet the preset conditions, the corresponding attention level is determined according to the high-frequency QRS waveform curve to be referred by a doctor.

In one embodiment, if the first amplitude falling relative value, the amplitude rising relative value and the duration of the second reference waveform curve all satisfy the preset condition, indicating that the corresponding high frequency QRS waveform curve includes a U-shaped wave band, the attention level is further determined based on each high frequency QRS waveform curve including the U-shaped wave band.

In one embodiment, the preset condition further comprises that the first reference point and/or the starting point of the second reference wave-shaped curve is within a third time period, so that the time of the first reference point is within the range of the third time period. Therefore, if the first reference point (and/or the starting point of the second reference waveform curve), the first amplitude descending relative value, the amplitude ascending relative value and the duration of the second reference waveform curve all meet preset conditions, the corresponding high-frequency QRS waveform curve is characterized to comprise a U-shaped waveband. The third time period is within the time range of the first time period, and may specifically include a period before the exercise and a period during the exercise, where the period during the exercise is in the exercise stage, such as a period after the exercise starts. Taking the corresponding time range of the motion phase in the high frequency QRS waveform curve as 3 to 9 minutes as an example, the third time period is, for example, a time interval represented by [1 minute 20 seconds, 6 minutes ], and the third time period includes 100 seconds before the motion and the first 3 minutes in the motion.

In one embodiment, a reference index is determined from each high frequency QRS waveform curve including the U-shaped band, and a corresponding level of interest is determined from the reference index. The reference index comprises at least one of the number of U-wave leads, the number of positive U-waves, a target amplitude reduction relative value and a target waveform reduction area. The U-wave coupling number refers to the total number of electrocardiogram leads containing U-wave bands in the corresponding high-frequency QRS waveform curve. The positive U wave number refers to the total number of electrocardiogram leads which contain U-shaped wave bands in corresponding high-frequency QRS waveform curves and are indicated to be positive by corresponding lead positive indexes. The target relative amplitude decrease value may be a maximum value of the second relative amplitude decrease values corresponding to the respective high frequency QRS waveform curves including the U-shaped band. The target waveform dip area may refer to a sum, an average, or a maximum of the waveform dip areas corresponding to the respective high frequency QRS waveform curves including the U-band.

The method for analyzing the high-frequency QRS waveform curve comprises the steps of respectively selecting a point which is positioned in a first time period and a second time period and has the maximum root mean square voltage as a first reference point and a second reference point on the high-frequency QRS waveform curve corresponding to the moving electrocardiogram data, selecting a second reference waveform curve of which the amplitude fluctuation amplitude is smaller than or equal to a preset fluctuation amplitude from the high-frequency QRS waveform curve in the first time period, and quantifying the waveform change condition of the high-frequency QRS waveform curve according to the root mean square voltages of the first reference point, the second reference point, the starting point and the ending point of the second reference waveform curve and the duration of the second reference waveform curve, when the first amplitude descending relative value, the amplitude ascending relative value and the duration obtained by quantification meet preset conditions, namely when the waveform change condition of the high-frequency QRS waveform curve is judged to meet the requirements, corresponding attention levels are determined according to the high-frequency QRS waveform curve and are referred by doctors, so that the doctors can accurately identify the heart health condition in a non-invasive mode by combining information such as clinical symptoms, and the accuracy of heart health condition identification in the non-invasive identification mode can be improved.

In one embodiment, fig. 2 provides a schematic diagram of the selection of reference points and reference curves based on the high frequency QRS waveform curve. As shown in fig. 2, the high frequency QRS waveform diagram shows a high frequency QRS waveform curve corresponding to an electrocardiogram lead aVF, the abscissa is time in minutes, the ordinate is root mean square voltage/amplitude in microvolts, the time range corresponding to the movement phase on the high frequency QRS waveform curve is 0 to 6 minutes, the first time period includes 100 seconds before movement (in the resting phase), 6 minutes during the movement phase and 20 seconds after movement (in the recovery phase), the high frequency QRS waveform curve in the first time period is a first reference waveform curve, a curve of which the amplitude waveform amplitude is less than or equal to a preset fluctuation amplitude (e.g. 0.5 uV) on the first reference waveform curve is a second reference waveform curve, the point of which the root mean square voltage is the maximum root mean square voltage on the first reference waveform curve is a first reference point, the point of which the voltage is the minimum on the second reference waveform curve is a third reference point, and the point of the maximum root mean square voltage on the high-frequency QRS waveform curve in the second time period is a second reference point, and the determined second amplitude reduction absolute value and the second amplitude reduction relative value are respectively 3.3uV and 60 percent based on the root mean square voltages of the first reference point and the third reference point.

In one embodiment, determining the level of interest from the high frequency QRS waveform profile comprises: selecting a point with the minimum root mean square voltage from the second reference waveform curve as a third reference point; determining a second amplitude reduction relative value based on the root mean square voltage of each of the first reference point and the third reference point; the attention level is determined based on the second amplitude decrease relative value.

Specifically, a point with the minimum root mean square voltage is selected from the second reference waveform curve as a third reference point, the root mean square voltage of the first reference point and the root mean square voltage of the third reference point are subtracted to obtain a second amplitude reduction absolute value, the ratio of the second amplitude reduction absolute value to the root mean square voltage of the first reference point is determined as a second amplitude reduction relative value of the corresponding high-frequency QRS waveform curve, and the corresponding attention level is determined according to the second amplitude reduction relative value corresponding to each high-frequency QRS waveform curve meeting preset conditions (including U-shaped wave bands).

In one embodiment, if there is one high frequency QRS waveform curve satisfying the preset condition, the second amplitude decrease relative value corresponding to the high frequency QRS waveform curve is determined as the target amplitude decrease relative value. If there are multiple high-frequency QRS waveform curves meeting the preset condition, comparing the second amplitude reduction relative values corresponding to the multiple high-frequency QRS waveform curves respectively, and screening the largest second amplitude reduction relative value as the target amplitude reduction relative value. Further, the attention level is determined based on the target amplitude drop relative value.

In one embodiment, the target amplitude reduction relative value is used to characterize coronary stenosis, which refers to the degree of stenosis of the coronary arteries. The target relative value of amplitude decrease is positively correlated with the coronary stenosis, with a higher target relative value of amplitude decrease indicating a higher coronary stenosis. Thus, the respective attention level can be determined based on the target amplitude decrease relative value, and if the target amplitude decrease relative value is larger, the corresponding attention level is labeled to be higher. The corresponding attention level may be determined specifically according to the amplitude threshold interval in which the target amplitude decrease relative value is located.

For example, four amplitude threshold intervals, that is, a first amplitude threshold interval to a fourth amplitude threshold interval, where the priority of the annotation is sequentially decreased, are preconfigured, for example: and if the target amplitude reduction relative value is in the first amplitude threshold interval, the coronary stenosis degree is characterized to be high, the attention level is determined as a first attention level with the highest priority, and if the target amplitude reduction relative value is in the second amplitude threshold interval, the coronary stenosis degree is characterized to be high, the attention level is determined as a second attention level with the second highest priority.

In the above embodiment, by quantifying the degree of amplitude decrease of each high-frequency QRS waveform curve including the U-shaped band, according to the second amplitude decrease relative value obtained by quantification and representing the coronary stenosis degree, the attention level with higher matching with the coronary stenosis condition is determined for reference by the doctor, so that the doctor can accurately identify the heart health condition by combining clinical symptoms.

In one embodiment, determining the attention level based on the second amplitude drop relative value comprises: selecting a fourth reference point and a fifth reference point from the high-frequency QRS waveform curve; determining the area of a waveform descending region according to the fourth reference point, the fifth reference point and the high-frequency QRS waveform curve; and determining the attention level according to the second amplitude decline relative value and the area of the waveform decline region.

Specifically, a fourth reference point and a fifth reference point are selected from the high-frequency QRS waveform curve according to a preset selection mode, a closed area determined by the fourth reference point, the fifth reference point and the high-frequency QRS waveform curve is used as a waveform descending area, the area of the closed area is calculated through a first function to obtain an absolute descending area, and the absolute descending area is used as the area of the waveform descending area of the corresponding high-frequency QRS waveform curve. Or, a closed region determined by a fourth reference point, a fifth reference point, a high-frequency QRS waveform curve and a reference axis (a horizontal axis of a high-frequency QRS waveform diagram) with zero root-mean-square voltage is used as a reference region, the area of the reference region is calculated through a second function to obtain a reference area, the ratio of the absolute descending area to the reference area is determined as a relative descending area, and the relative descending area is used as the area of the waveform descending region of the corresponding high-frequency QRS waveform curve. Or, the absolute descending area and the relative descending area obtained by the calculation in the above way are used as the area of the descending area of the waveform of the corresponding high-frequency QRS waveform curve. The time of the fourth reference point is earlier than the time of the fifth reference point. Further, the related attention level is determined according to the second amplitude reduction relative value and the area of the waveform reduction region corresponding to each high-frequency QRS waveform curve containing the U-shaped wave band. Specifically, in a manner provided by one or more embodiments of the present application, based on the second amplitude-decrease relative value and the waveform-decrease region area corresponding to each high-frequency QRS waveform curve including the U-shaped waveband, a target amplitude-decrease relative value and a target waveform-decrease region area are respectively calculated, and the attention level is determined according to the target amplitude-decrease relative value and the target waveform-decrease region area.

In one embodiment, the first reference point is taken as the fourth reference point and the second reference point is taken as the fifth reference point. Or, the corresponding point of the starting point of the motion phase in the high-frequency QRS waveform curve is taken as a fourth reference point, and the corresponding point of the ending point of the motion phase on the high-frequency QRS waveform curve is taken as a fifth reference point. Or, the first reference point is taken as a fourth reference point, and a point corresponding to the end point of the motion phase on the high-frequency QRS waveform curve is taken as a fifth reference point.

In one embodiment, the root mean square voltage of the fourth reference point is determined as the reference amplitude, the closed region which is determined by the reference amplitude, the fifth reference point and the high frequency QRS waveform curve and is below the reference amplitude is determined as a waveform descent region, and the area of the waveform descent region is determined as the area of the waveform descent region of the corresponding high frequency QRS waveform curve.

In one embodiment, for each high-frequency QRS waveform curve meeting a preset condition, a corresponding waveform falling region area is calculated respectively, and a sum, an average or a maximum of the calculated waveform falling region areas is determined as a target waveform falling region area.

In one embodiment, the area of the target waveform drop region can be used to characterize myocardial ischemia, and in particular, myocardial ischemia under coronary stenosis, i.e., myocardial ischemia mainly caused by coronary stenosis. The area of the target waveform descending region is positively correlated with the myocardial ischemia degree, for example, the larger the area of the target waveform descending region is, the higher the myocardial ischemia degree under coronary artery stenosis is represented. Thus, the corresponding attention level can be determined based on the target waveform descent region area and/or the target amplitude descent relative value, and if the target waveform descent region area and/or the target amplitude descent relative value is larger, the corresponding attention level is labeled to be higher. Similarly, the corresponding attention level may be specifically determined according to an area threshold interval in which the area of the target waveform falling region is located, and/or an amplitude threshold interval in which the target amplitude falling relative value is located.

For example, three area threshold intervals, namely a first area threshold interval and a third area threshold interval, are preconfigured, wherein the attention priority of the attention is sequentially reduced, if the target amplitude reduction relative value is in the first amplitude threshold interval and the target waveform reduction region area is in the first area threshold interval, the attention level is labeled as a first level, and if the target amplitude reduction relative value is in the second amplitude threshold interval and the target waveform reduction region area is in the first area threshold interval, the attention level is labeled as a second level, which is not listed herein. It is understood that the higher the attention priority of the area threshold interval, the larger the numerical value in the area threshold interval. If the waveform drop zone area comprises an absolute drop area and/or a relative drop area, the area threshold interval preconfigured for the waveform drop zone area comprises an absolute area threshold interval preconfigured for the absolute drop area and/or a relative area threshold interval preconfigured for the relative drop area. Therefore, if the area of the target waveform falling region is in the first area threshold interval, the target absolute falling area and/or the target relative falling area included in the target waveform falling region are/is respectively in the corresponding area threshold interval in the first area threshold interval, and details are not repeated here.

In the above embodiment, the waveform descending region of the corresponding high-frequency QRS waveform curve is quantized based on the selected fourth reference point and the fifth reference point to obtain the area of the corresponding waveform descending region, and the attention level with higher matching with the coronary stenosis degree and the myocardial ischemia degree under the coronary stenosis is obtained by combining the area of the waveform descending region and the second amplitude descending relative value, so as to be referred by the doctor, so that the doctor can more accurately identify the heart health condition by combining clinical symptoms.

In one embodiment, determining the level of interest from the high frequency QRS waveform profile comprises: screening a high-frequency QRS waveform curve of which the corresponding first amplitude descending relative value, amplitude ascending relative value and the duration of the second reference waveform curve meet preset conditions; and determining attention levels according to the total number of the screened high-frequency QRS waveform curves.

Specifically, screening a high-frequency QRS waveform curve with a first amplitude-falling relative value greater than or equal to a first preset threshold value, an amplitude-rising relative value greater than or equal to a second preset threshold value, and a duration of a second reference waveform curve greater than or equal to a preset duration threshold value, that is, screening a high-frequency QRS waveform curve including a U-shaped waveband, counting the total number of the screened high-frequency QRS waveform curves, and determining a corresponding attention level according to the total number.

In one embodiment, the total number of high frequency QRS waveform curves comprising the U-band, which may be understood as the number of U-wave leads, may be used to characterize the number of coronary branches in the event of stenosis and/or the number of segments in the coronary in a positive correlation, e.g., the greater the number of U-wave leads, the greater the number of coronary branches in the event of stenosis and/or the greater the number of segments in the coronary in the event of stenosis. Thus, the respective attention level is determined based on the number threshold interval in which the number of U-waveguide pairs is located.

For example, a plurality of number threshold intervals are preconfigured for the number of U waveguides, and if four number threshold intervals are preconfigured, the number of threshold intervals is, for example, four in total from a first number threshold interval to a fourth number threshold interval in which the priority of the U waveguides is sequentially reduced, such as: greater than or equal to 7, greater than or equal to 5 and less than 7, greater than or equal to 3 and less than 5, greater than or equal to 1 and less than 3, if the number of U-waveguide links is in the first number threshold interval, the attention level is labeled as the first attention level, if the number of U-waveguide links is in the second number threshold interval, the attention level is labeled as the second attention level, and so on, which are not listed herein.

In one embodiment, a target amplitude reduction relative value and/or a target waveform reduction region area are also comprehensively considered on the basis of the number of U-wave leads to obtain a more reference attention level. Corresponding multiple combination modes can be obtained based on the threshold value interval where each reference index is located, and corresponding attention levels can be obtained according to the various combination modes of each reference index by referring to the attention level determination mode provided in one or more embodiments of the application, which is not described herein again. For example, if the U-waveguide coupling number is in a first number threshold interval, the target amplitude decrease relative value is in a first amplitude threshold interval, and the target waveform decrease region area is in a first area threshold interval, the attention level is labeled as a first attention level.

In the above embodiment, based on the waveform variation of each high frequency QRS waveform curve, the total number of high frequency QRS waveform curves including the U-shaped band is determined, so as to determine the corresponding attention level for the reference of the doctor based thereon, so that the doctor can accurately identify the heart health condition by combining clinical symptoms.

In one embodiment, determining the level of interest from the high frequency QRS waveform profile comprises: determining a corresponding lead positive index according to the high-frequency QRS waveform curve; screening a high-frequency QRS waveform curve of which the corresponding lead positive index indication is positive and the corresponding first amplitude decrease relative value, amplitude increase relative value and the duration of the second reference waveform curve meet preset conditions; and determining attention levels according to the total number of the screened high-frequency QRS waveform curves.

Specifically, a point with the minimum root mean square voltage is selected from a second reference waveform curve as a third reference point, the root mean square voltages of the first reference point and the third reference point are subtracted to obtain a second amplitude reduction absolute value, the ratio of the second amplitude reduction absolute value to the first reference point is used as a second amplitude reduction relative value, and a lead positive index of a corresponding high-frequency QRS waveform curve is determined according to the second amplitude reduction relative value and is used as a lead positive index of a corresponding electrocardiogram lead. Further, screening and counting the high-frequency QRS waveform curves of which the lead positive indexes indicate positive and the duration of the corresponding first amplitude descending relative value, amplitude ascending relative value and second reference waveform curve meet the preset conditions, namely screening the high-frequency QRS waveform curves of which the corresponding lead positive indexes indicate positive and which include U-shaped wave bands, obtaining the total number of the high-frequency QRS waveform curves meeting the screening conditions, and determining the corresponding attention levels according to the total number.

In one embodiment, the absolute value of the second amplitude decrease and the relative value of the second amplitude decrease of the high-frequency QRS waveform curve both conform to the preset lead positive condition, and the lead positive indicator indicates that the corresponding electrocardiogram lead is positive. The preset positive lead condition can be customized according to the actual detection condition, and can be adaptively adjusted according to factors such as the age, sex, height, weight and the like of the testee, for example, the absolute value of the second amplitude decrease is greater than 1uV, and the relative value of the second amplitude decrease is greater than 50%, which is not specifically limited herein.

In one embodiment, the total number of high frequency QRS waveform curves with the corresponding lead positive indicators being positive and including the U-shaped wave band, which may be understood as the number of positive U-waves, may be used to characterize myocardial ischemia under coronary stenosis, and the two are in positive correlation, e.g., the greater the number of positive U-waves, the higher the myocardial ischemia under coronary stenosis may be, and thus, the corresponding attention level may be determined according to the number of positive U-waves. It can be understood that, similar to the number of U-wave leads, the corresponding attention level may be determined according to the number threshold interval where the number of positive U-waves is located, and details are not repeated here. And corresponding number threshold intervals can be configured for the U-wave coupling number and the positive U-wave number respectively.

In one embodiment, on the basis of the number of positive U waves, at least one of reference indexes such as a target amplitude reduction relative value, a target waveform reduction area and the number of U-wave leads is also comprehensively considered to obtain a more reference value attention level. Corresponding multiple combination modes can be obtained based on the threshold value interval where each reference index is located, and corresponding attention levels can be obtained according to the various combination modes of each reference index by referring to the attention level determination mode provided in one or more embodiments of the application, which is not described herein again. For example, if the number of U-wave leads and the number of positive U-wave leads are in the corresponding first number threshold interval, the target amplitude decrease relative value is in the first amplitude threshold interval, and the target waveform decrease region area is in the first area threshold interval, the attention level is labeled as the first attention level.

In the above embodiment, based on the waveform change condition of each high-frequency QRS waveform curve and the lead positive index, the total number of high-frequency QRS waveform curves including the U-shaped band and having the corresponding lead positive index indicated as positive is determined, so as to determine the corresponding attention level for reference of the doctor based on the total number, so that the doctor can accurately identify the heart health condition by combining clinical symptoms.

In one embodiment, S116 includes: if the first reference point is in a third time period, the first amplitude descending relative value is greater than or equal to a first preset threshold value, the amplitude ascending relative value is greater than or equal to a second preset threshold value, and the duration of the second reference waveform curve is greater than or equal to a preset duration threshold value, determining the attention level according to the high-frequency QRS waveform curve; or, if the starting point of the second reference waveform curve is in the third time period, the first amplitude descending relative value is greater than or equal to the first preset threshold value, the amplitude ascending relative value is less than the second preset threshold value, and the duration of the second reference waveform curve is greater than or equal to the preset duration threshold value, determining the attention level according to the high-frequency QRS waveform curve.

If the first reference point is within the third time period (and/or the starting point of the second reference waveform curve is within the third time period), the first amplitude decrease relative value is greater than or equal to the first preset threshold value, the amplitude increase relative value is greater than or equal to the second preset threshold value, and the duration of the second reference waveform curve is greater than or equal to the preset duration threshold value, that is, if the first reference point (and/or the starting point of the second reference waveform curve), the first amplitude decrease relative value, the amplitude increase relative value, and the duration of the second reference waveform curve all satisfy the preset conditions, then representing that the corresponding high frequency QRS waveform curve includes a U-shaped wave band, therefore, myocardial ischemia caused mainly by coronary stenosis exists, and therefore a focus level with higher reference value can be obtained through analysis based on the high-frequency QRS waveform curve and is used for reference of doctors.

In the above embodiment, the high-frequency QRS waveform curves with higher reference and analysis values are screened based on the preset conditions, so as to screen out the high-frequency QRS waveform curves representing the myocardial ischemia condition mainly caused by coronary stenosis, and the attention levels with higher reference values are obtained based on the screened high-frequency QRS waveform curves for reference of a doctor, so that the doctor can accurately identify the heart health condition by combining information such as clinical symptoms and/or myocardial ischemia.

In one embodiment, the first preset threshold is determined based on the rms voltage of the first reference point and/or a user profile of the subject; the second preset threshold is determined based on the root mean square voltage of the end point of the second reference waveform curve and/or the user portrait; the preset duration threshold is determined based on the user profile.

The user image comprises at least one of parameters of the tested person such as weight, age, sex, load grade in the load exercise electrocardio detection process and the like.

In one embodiment, the RMS voltage of the first reference point and/or the parameters in the user representation are weighted and summed to obtain a corresponding first predetermined threshold. Or, a first reference threshold is pre-configured, a first correction coefficient is determined according to the root mean square voltage of the first reference point and/or the user portrait dynamics, and the first reference threshold is corrected based on the first correction coefficient to obtain a first preset threshold, for example, the first correction coefficient is multiplied by the first reference threshold to obtain the first preset threshold. Wherein the first correction factor is a function dynamically determined by the root mean square voltage of the first reference point and/or parameters in the user representation. Similarly, the second preset threshold may be determined based on the rms voltage of the end point of the second reference waveform curve and/or the user profile dynamics, and the preset duration threshold may be determined based on the user profile dynamics, which will not be described herein.

In the above embodiment, each threshold in the preset condition is dynamically determined based on the user profile and other information, so as to accurately quantify the waveform change condition of the high-frequency QRS waveform curve based on each dynamically determined threshold, and on the basis of accurately quantifying the waveform change condition of the high-frequency QRS, an attention level with higher matching with the coronary stenosis degree and/or the myocardial ischemia degree under coronary stenosis is accurately analyzed, so that a doctor can accurately identify the heart health condition in a non-invasive manner by combining information such as clinical symptoms and/or myocardial ischemia conditions.

As shown in fig. 3, in an embodiment, a flow chart of a method for analyzing a high frequency QRS waveform curve is provided, which specifically includes the following steps:

and S302, acquiring a high-frequency QRS waveform curve corresponding to the exercise electrocardiogram data.

And S304, selecting the high-frequency QRS waveform curve in the first time period as a first reference waveform curve.

And S306, selecting a point with the maximum root mean square voltage from the first reference wave form curve as a first reference point.

S308, selecting a second reference waveform curve with the amplitude fluctuation amplitude smaller than or equal to the preset fluctuation amplitude from the first reference waveform curve.

S310, a first amplitude decrease relative value is determined based on the root mean square voltage of each of the first reference point and the start point of the second reference wave-shaped curve.

And S312, selecting a point with the maximum root mean square from the high-frequency QRS waveform curve in the second time period as a second reference point.

S314, an amplitude rise relative value is determined based on the root mean square voltage of each of the second reference point and the end point of the second reference waveform curve.

S316, if the first reference point (and/or the starting point of the second reference waveform curve), the first amplitude decrease relative value, the first amplitude increase relative value, and the duration corresponding to the second reference waveform curve satisfy the predetermined condition, selecting a point with the minimum root mean square voltage from the second reference waveform curve as a third reference point.

S318, a second amplitude decrease relative value is determined based on the root mean square voltages of the first reference point and the third reference point.

And S320, selecting a fourth reference point and a fifth reference point from the high-frequency QRS waveform curve, and determining the area of a waveform descending region according to the fourth reference point, the fifth reference point and the high-frequency QRS waveform curve.

In step S322, the attention level is determined based on the second amplitude drop relative value and the area of the waveform drop region.

And S324, screening the high-frequency QRS waveform curve of which the corresponding first reference point (and/or the starting point of the second reference waveform curve), the first amplitude descending relative value, the amplitude ascending relative value and the duration of the second reference waveform curve meet preset conditions.

And S326, determining the attention level according to the total number of the screened high-frequency QRS waveform curves.

And S328, determining a corresponding lead positive index according to the high-frequency QRS waveform curve.

S330, screening the high-frequency QRS waveform curve of which the corresponding lead positive index is indicated to be positive and the corresponding first reference point (and/or the starting point of the second reference waveform curve), the first amplitude descending relative value, the amplitude ascending relative value and the duration of the second reference waveform curve meet preset conditions.

And S332, determining attention levels according to the total number of the screened high-frequency QRS waveform curves.

It can be understood that, in this embodiment, the first reference point (and/or a starting point of the second reference waveform curve), the first amplitude decrease relative value and the amplitude increase relative value, and the duration corresponding to the second reference waveform curve satisfy a preset condition, specifically, the first reference point is located in the third time period (and/or the starting point of the second reference waveform curve is located in the third time period), the first amplitude decrease relative value is greater than or equal to the first preset threshold, the amplitude increase relative value is greater than or equal to the second preset threshold, and the duration of the second reference waveform curve is greater than or equal to the preset duration threshold.

In one or more embodiments of the present application, the number of threshold intervals and corresponding interval values preconfigured for each reference index are merely examples and are not specifically limited when determining the attention level based on the reference index.

It should be understood that although the steps in the flowcharts of fig. 1 and 3 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not limited to being performed in the exact order illustrated and, unless explicitly stated herein, may be performed in other orders. Moreover, at least a portion of the steps in fig. 1 and 3 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a portion of the steps or stages in other steps.

In one embodiment, as shown in fig. 4, there is provided a high frequency QRS waveform analysis apparatus 400 comprising: an obtaining module 401, a selecting module 402, and an attention level determining module 403, wherein:

an obtaining module 401, configured to obtain a high-frequency QRS waveform curve corresponding to the moving electrocardiogram data;

a selecting module 402, configured to select a high-frequency QRS waveform curve in a first time period as a first reference waveform curve;

a selecting module 402, further configured to select a point with the largest root mean square voltage from the first reference waveform curve as a first reference point;

a selecting module 402, configured to select a second reference waveform curve with an amplitude fluctuation amplitude smaller than or equal to a preset fluctuation amplitude from the first reference waveform curve;

a focus level determining module 403, configured to determine a first amplitude decrease relative value based on a root mean square voltage of each of the first reference point and a start point of the second reference waveform curve;

a selecting module 402, configured to select a point with the largest root mean square from the high-frequency QRS waveform curve in the second time period as a second reference point;

a focus level determination module 403, further configured to determine an amplitude rising relative value based on the root mean square voltage of each of the second reference point and the end point of the second reference waveform curve;

the attention level determining module 403 is further configured to determine an attention level according to the high-frequency QRS waveform curve if the first amplitude decrease relative value and the amplitude increase relative value and the duration corresponding to the second reference waveform curve satisfy a preset condition.

In one embodiment, the attention level determining module 403 is further configured to select a point with the minimum root mean square voltage from the second reference waveform curve as a third reference point; determining a second amplitude reduction relative value based on the root mean square voltages of the first reference point and the third reference point respectively; the attention level is determined based on the second amplitude decrease relative value.

In one embodiment, the attention level determining module 403 is further configured to select a fourth reference point and a fifth reference point from the curve of the high-frequency QRS waveform; determining the area of a waveform descending region according to the fourth reference point, the fifth reference point and the high-frequency QRS waveform curve; and determining the attention level according to the second amplitude decline relative value and the area of the waveform decline area.

In one embodiment, the attention level determining module 403 is further configured to screen high-frequency QRS waveforms of which the corresponding first relative amplitude decrease value, relative amplitude increase value and duration of the second reference waveform satisfy the preset condition; and determining attention levels according to the total number of the screened high-frequency QRS waveform curves.

In one embodiment, the attention level determining module 403 is further configured to determine a corresponding lead positive indicator according to the high frequency QRS waveform curve; screening a high-frequency QRS waveform curve of which the corresponding lead positive index is indicated to be positive and the duration of the corresponding first amplitude falling relative value, amplitude rising relative value and second reference waveform curve meets a preset condition; and determining attention levels according to the total number of the screened high-frequency QRS waveform curves.

In one embodiment, the attention level determining module 403 is further configured to determine an attention level according to the high-frequency QRS waveform curve if the first reference point is within the third time period, the first amplitude decrease relative value is greater than or equal to a first preset threshold, the amplitude increase relative value is greater than or equal to a second preset threshold, and the duration of the second reference waveform curve is greater than or equal to a preset duration threshold; or, if the starting point of the second reference waveform curve is in the third time period, the first amplitude descending relative value is greater than or equal to the first preset threshold value, the amplitude ascending relative value is less than the second preset threshold value, and the duration of the second reference waveform curve is greater than or equal to the preset duration threshold value, determining the attention level according to the high-frequency QRS waveform curve.

For specific limitations of the high frequency QRS waveform curve analysis apparatus, reference may be made to the above limitations of the high frequency QRS waveform curve analysis method, and details are not repeated here. All or part of the modules in the high-frequency QRS waveform curve analysis device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent of a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

In one embodiment, a computer device is provided, which may be a server, and the internal structure thereof may be as shown in fig. 5. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing the high-frequency QRS waveform curve corresponding to the exercise electrocardiogram data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of high frequency QRS waveform curve analysis.

Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is further provided, which includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above method embodiments when executing the computer program.

In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. A method of high frequency QRS waveform curve analysis, the method comprising:

selecting a second reference waveform curve with amplitude fluctuation amplitude smaller than or equal to a preset fluctuation amplitude from the first reference waveform curve;

2. The method of claim 1, wherein said determining a level of interest from said high frequency QRS waveform profile comprises:

determining a second relative amplitude droop value based on the respective root mean square voltages of the first reference point and the third reference point;

3. The method of claim 2, wherein said determining a level of interest from said second relative value of amplitude drop comprises:

and determining the attention level according to the second amplitude decline relative value and the area of the waveform decline area.

4. The method of claim 1, wherein said determining a level of interest from said high frequency QRS waveform profile comprises:

5. The method of claim 1, wherein said determining a level of interest from said high frequency QRS waveform profile comprises:

and determining the attention level according to the total number of the screened high-frequency QRS waveform curves.

6. An apparatus for high frequency QRS waveform curve analysis, the apparatus comprising:

the selection module is used for selecting the high-frequency QRS waveform curve in a first time period as a first reference waveform curve;

the selection module is further used for selecting a second reference waveform curve with amplitude fluctuation amplitude smaller than or equal to a preset fluctuation amplitude from the first reference waveform curve;

the selecting module is further configured to select a point with the largest root mean square from the high-frequency QRS waveform curve in the second time period as a second reference point;

7. The apparatus of claim 6, wherein the attention level determining module is further configured to select a point with the minimum root mean square voltage from the second reference waveform curve as a third reference point; determining a second relative amplitude droop value based on the respective root mean square voltages of the first reference point and the third reference point; determining a focus level according to the second relative value of amplitude decrease.

8. The apparatus of claim 7, wherein the attention level determining module is further configured to select a fourth reference point and a fifth reference point from the curve of the high frequency QRS waveform; determining the area of a waveform descending region according to the fourth reference point, the fifth reference point and the high-frequency QRS waveform curve; and determining the attention level according to the second amplitude decline relative value and the area of the waveform decline region.

9. The apparatus according to claim 6, wherein the attention level determining module is further configured to screen the high frequency QRS waveform profile in which the duration of the corresponding first relative amplitude decrease value and amplitude increase value and the second reference waveform profile satisfies a preset condition; and determining attention levels according to the total number of the screened high-frequency QRS waveform curves.

10. The apparatus of claim 6, wherein the attention level determining module is further configured to determine a corresponding lead positive indicator from the high frequency QRS waveform curve; screening a high-frequency QRS waveform curve of which the corresponding lead positive index is indicated to be positive and the duration of the corresponding first amplitude falling relative value, amplitude rising relative value and second reference waveform curve meets a preset condition; and determining attention levels according to the total number of the screened high-frequency QRS waveform curves.

11. A computer device comprising a memory and a processor, said memory storing a computer program, characterized in that said processor when executing said computer program implements the steps of the method of high frequency QRS waveform curve analysis according to any one of claims 1 to 5.

12. A computer-readable storage medium, having stored thereon a computer program, wherein the computer program, when being executed by a processor, is adapted to carry out the steps of the method of high frequency QRS waveform curve analysis according to any one of the claims 1 to 5.