CN114831650A

CN114831650A - Electrocardiogram S point extraction method and device, storage medium and electronic equipment

Info

Publication number: CN114831650A
Application number: CN202210642714.7A
Authority: CN
Inventors: 刘成良; 刘云清; 刘金磊; 陶建峰
Original assignee: Shenzhen Hart Intelligent Technology Co ltd
Current assignee: Shenzhen Hart Intelligent Technology Co ltd
Priority date: 2022-06-08
Filing date: 2022-06-08
Publication date: 2022-08-02

Abstract

The application discloses an electrocardiogram S point extraction method, device, storage medium and electronic equipment, and belongs to the field of portable equipment, wherein the electrocardiogram S point extraction method comprises the following steps: acquiring an electrocardiosignal, extracting a characteristic point R point in the electrocardiosignal, then extracting a characteristic S point according to the characteristic point R point, and classifying a cusp type S point in the characteristic S point to obtain a first S point set; and further performing fine classification on the S points to form a second S point set, a third S point set and a fourth S point set. Therefore, S points in the electrocardiogram signals are subdivided and extracted, the fourth S point set is too high in ST section, the electrocardiogram S points are identified, a high-performance CPU or GPU is not needed, cost is saved, and the method is more suitable for being applied to portable equipment.

Description

Electrocardiogram S point extraction method and device, storage medium and electronic equipment

Technical Field

The application belongs to the technical field of portable electronic equipment, and particularly relates to an electrocardiogram S point extraction method and device, a storage medium and electronic equipment.

Background

In the prior art, a plurality of wearable devices for monitoring human health are available, and generally, physiological information data of a human body is acquired through a sensor and then analyzed to achieve the purpose of detecting the state of the human body. In the processing process of the electrocardiosignals, how to accurately extract the characteristic Point (PQRST) in the electrocardiosignals is particularly important for realizing automatic judgment of the state, wherein P waves represent fluctuation of left and right new atriums, QRS waves represent contraction of ventricles, and T waves represent ventricular repolarization.

The existing technical scheme has high requirements on hardware due to the adoption of a deep learning method, so that the existing technical scheme is difficult to apply to portable equipment or mobile equipment. Therefore, how to extract the features of the S-point of the feature snack electrogram of the portable device becomes an urgent problem to be solved.

Disclosure of Invention

The application aims to provide an electrocardiogram S point extraction method, an electrocardiogram S point extraction device, a storage medium and electronic equipment so as to extract characteristic snack electrocardiogram S points.

According to a first aspect of embodiments of the present application, there is provided an electrocardiogram S-point extraction method, which may include:

acquiring an electrocardiosignal;

extracting a characteristic point R point in the electrocardiosignal;

extracting characteristic S points according to the characteristic points R points, and classifying the cusp type S points in the characteristic S points to obtain a first S point set;

removing S points of which the distances between the S points in the first S point set are larger than a preset distance value of a QRS wave group starting point, extracting first virtual S points by using a difference method, and classifying the first virtual S points to obtain a second S point set;

screening S points out of the first S point set and the second S point set in the characteristic S points, and classifying the S points of which the first amplitude is smaller than the reference line amplitude in the positive direction of the time sequence and which belong to the right branch of the R point to obtain a third S point set;

and classifying S points out of the first S point set, the second S point set and the third S point set in the characteristic S points to obtain a fourth S point set.

In some optional embodiments of the present application, the extracting a feature S point according to the feature point R point includes:

judging the positive and negative of the R point of the characteristic point;

if the value of the R point is positive, extracting a characteristic S point;

and if the value of the R point is negative, determining that the measurement is wrong, discarding the R point, and stopping feature extraction.

In some optional embodiments of the present application, after the acquiring the cardiac electrical signal, the method for extracting an S-point of an electrocardiogram further includes: extracting a first minimum value point Q point before the R point; and determining the distance of the QRS wave waveform according to the position of the Q point.

In some optional embodiments of the present application, the removing S points whose distances from S points in the first set of S points are greater than a preset value of the distance from a QRS complex starting point includes:

and finding an S point according to the first minimum value point after the R point, and removing the S point if the maximum distance of the QRS wave waveform of the S point exceeds 0.2 second.

According to a second aspect of the embodiments of the present application, there is provided an electrocardiogram S-point extraction apparatus, including:

the acquisition module is used for acquiring electrocardiosignals;

the R point extraction module is used for extracting a characteristic point R point in the electrocardiosignal;

the first classification module is used for extracting characteristic S points according to the characteristic points R points and classifying the cusp type S points in the characteristic S points to obtain a first S point set;

the second classification module is used for removing S points of which the distances between the S points in the first S point set are greater than the preset distance value of the QRS wave group starting point, extracting first virtual S points by using a difference method, and classifying the first virtual S points to obtain a second S point set;

the third classification module is used for screening S points out of the first S point set and the second S point set in the characteristic S points, classifying the S points which belong to the right branch of the R point and have the first amplitude smaller than the amplitude of the reference line according to the positive direction of the time sequence to obtain a third S point set;

and the fourth classification module is used for classifying S points in the characteristic S points except the first S point set, the second S point set and the third S point set to obtain a fourth S point set.

In some optional embodiments of the present application, the first classification module comprises:

a positive and negative judgment unit for judging the positive and negative of the characteristic point R;

the S point extracting unit is used for extracting characteristic S points when the value of the R point is positive; and when the value of the R point is negative, determining that the measurement is wrong, discarding the R point, and stopping feature extraction.

In some optional embodiments of the present application, further comprising: the Q point extraction module is used for extracting a first minimum value point Q point before the R point; and determining the distance of the QRS wave waveform according to the position of the Q point.

In some optional embodiments of the application, the second classification module is specifically configured to find an S point according to a first minimum value point after the R point, and remove the S point if a maximum distance of a QRS wave waveform of the S point exceeds 0.2 seconds.

According to a third aspect of embodiments of the present application, there is provided an electronic apparatus, which may include:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to execute the instructions to implement the electrocardiogram S-point extraction method as shown in any embodiment of the first aspect.

According to a fourth aspect of embodiments of the present application, there is provided a storage medium, when instructions in the storage medium are executed by a processor of an information processing apparatus or a server, to cause the information processing apparatus or the server to implement the electrocardiogram S-point extraction method as shown in any one of the embodiments of the first aspect.

The technical scheme of the application has the following beneficial technical effects:

according to the method, a first S point set is obtained by obtaining an electrocardiosignal, extracting characteristic points R in the electrocardiosignal, then extracting characteristic points S according to the characteristic points R, and classifying cusp type points S in the characteristic points S; further finely classifying the S points, removing the S points of which the distance from the S points in the first S point set is greater than the preset distance value of the QRS wave group starting point, extracting the first virtual S points by using a difference method, and classifying the first virtual S points to obtain a second S point set; screening S points out of a first S point set and a second S point set in the characteristic S points, and classifying the S points which belong to the right branch of the R point and have the first amplitude smaller than the amplitude of the reference line in the positive direction of the time sequence to obtain a third S point set; and classifying S points except the first S point set, the second S point set and the third S point set in the characteristic S points to obtain a fourth S point set. Therefore, S points in the electrocardiogram signals are subdivided and extracted, the fourth S point set is too high in ST section, the electrocardiogram S points are identified, a high-performance CPU or GPU is not needed, cost is saved, and the method is more suitable for being applied to portable equipment.

Drawings

FIG. 1 is a flowchart of a method for extracting S-point of electrocardiogram in an exemplary embodiment of the present application;

FIG. 2 is a schematic structural diagram of an apparatus for extracting an electrocardiogram S-point according to an exemplary embodiment of the present application;

FIG. 3 is a schematic diagram of an electronic device according to an exemplary embodiment of the present application;

fig. 4 is a schematic diagram of a hardware structure of an electronic device in an exemplary embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described in detail below with reference to the accompanying drawings in combination with the detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present application. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present application.

In the drawings, a schematic diagram of a layer structure according to an embodiment of the application is shown. The figures are not drawn to scale, wherein certain details are exaggerated and possibly omitted for clarity. The shapes of various regions, layers, and relative sizes and positional relationships therebetween shown in the drawings are merely exemplary, and deviations may occur in practice due to manufacturing tolerances or technical limitations, and a person skilled in the art may additionally design regions/layers having different shapes, sizes, relative positions, as actually required.

It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

In the description of the present application, it is noted that the terms "first", "second", and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.

In addition, the technical features mentioned in the different embodiments of the present application described below may be combined with each other as long as they do not conflict with each other.

The method for extracting S-point of electrocardiogram provided by the embodiments of the present application is described in detail below with reference to the accompanying drawings.

As shown in fig. 1, in a first aspect of the embodiments of the present application, there is provided an electrocardiogram S-point extraction method, which may include:

step S110: acquiring an electrocardiosignal;

step S120: extracting a characteristic point R point in the electrocardiosignal;

step S130: extracting characteristic S points according to the characteristic points R points, and classifying the cusp type S points in the characteristic S points to obtain a first S point set;

step S140: removing S points of which the distances between the S points in the first S point set are larger than a preset distance value of a QRS wave group starting point, extracting first virtual S points by using a difference method, and classifying the first virtual S points to obtain a second S point set;

step S150: screening S points out of the first S point set and the second S point set in the characteristic S points, and classifying the S points of which the first amplitude is smaller than the reference line amplitude in the positive direction of the time sequence and which belong to the right branch of the R point to obtain a third S point set;

step S160: and classifying S points out of the first S point set, the second S point set and the third S point set in the characteristic S points to obtain a fourth S point set.

The method of the embodiment subdivides and extracts the S points in the electrocardiosignals, wherein the fourth S point set is the ST segment which is too high, and the electrocardiogram S point identification targeting the ST segment elevation condition is added, so that the electrocardiogram S points are identified, a high-performance CPU or GPU is not needed, the cost is saved, and the method is more suitable for being applied to portable equipment. The method can identify the electrocardiogram S point in an iterative mode, and has better interpretability on ST-segment-elevated electrocardiograms in product application.

For the sake of clarity, the following description is made for the above important steps:

first, step S110: acquiring electrocardiosignals.

The central electric signal in the step plays a positive role in realizing user health screening, assisting doctor diagnosis and even improving the resource utilization of the medical system. With the development of society, people pay more attention to health, and the market demand of equipment for the electrocardio portable user health screening of users is continuously improved. The methods that can process the electrocardiosignals by using wavelet transformation include Continuous Wavelet Transformation (CWT) and Discrete Wavelet Transformation (DWT), wherein the CWT processing method generates redundancy, and the amount of computation of the CWT processing method is twice that of the DWT processing method, so the DWT processing method is a common method in the prior art. In the DWT processing method, discrete cosine transform in JPEG image is to compress the image into 8 x 8 small blocks.

Next, step S130: and extracting characteristic S points according to the characteristic points R points, and classifying the cusp type S points in the characteristic S points to obtain a first S point set.

In the step, positive and negative judgment is carried out on the R points, and then the electrocardiogram characteristic points S are extracted based on the judgment result, wherein the S points belong to the cusp class set of the normal electrocardiogram S points.

Next, step S140: and removing S points of which the distance between the S points in the first S point set is greater than the preset distance value of the QRS wave group starting point, extracting a first virtual S point by using a difference method, and classifying the first virtual S point to obtain a second S point set.

The step is misdiagnosis detection, and the extracted S points are taken or rejected: if the distance of the S point extracted in the step S130 is more than 0.2S than the distance of the QRS complex starting point, the point is discarded, and a virtual S point is extracted by using a difference method and named as an ss point, wherein the ss point belongs to an inflection point class set similar to ventricular premature heart electrogram.

Next, step S150: screening S points out of the first S point set and the second S point set in the characteristic S points, and classifying the S points of which the first amplitude is smaller than the reference line amplitude in the positive direction of the time sequence and which belong to the right branch of the R point to obtain a third S point set;

in this step, if the cusp series condition in step S130 does not meet in the S-point extraction process, and the inflection point series condition in step S140 does not meet, the virtual S-point still belongs to this time, which is named as the sss point, and the sss point belongs to the set of points whose first amplitude is smaller than the amplitude of the reference line in the positive direction of the time sequence on the right side of the R-point.

Next, step S160: and classifying S points out of the first S point set, the second S point set and the third S point set in the characteristic S points to obtain a fourth S point set.

In this step, if the series of conditions in step S150 is not satisfied within the range of finding the S point, it is assumed that the S point belongs to the ST elevation, the S point as the electrocardiogram feature point is extracted, and such S point belongs to the set of cusps of the electrocardiogram S point.

The method increases the electrocardiogram S point of the targeted ST elevation condition, and is an innovation for the traditional electrocardiogram S point which can only be identified below the reference point. The electrocardiogram S point can be identified through a series distributed structure, and the electrocardiogram S point has better interpretability on ST-segment-elevated electrocardiograms in product application. If a threshold method is used for identifying the electrocardiogram S point and is applied to the diagnosis of ST-elevation related diseases, the method also belongs to the scope of the scheme.

In an embodiment, the extracting a feature S point according to the feature point R point includes:

judging the positive and negative of the R point of the characteristic point;

if the value of the R point is positive, extracting a characteristic S point;

In an embodiment, after the acquiring the cardiac electrical signal, the method for extracting the S-point of the electrocardiogram further includes: extracting a first minimum value point Q point before the R point; and determining the distance of the QRS wave waveform according to the position of the Q point.

In an embodiment, the removing S points whose distances from S points in the first set of S points are greater than a preset value of distance from a QRS complex starting point includes: and finding an S point according to the first minimum value point after the R point, and removing the S point if the maximum distance of the QRS wave waveform of the S point exceeds 0.2 second. If the time exceeds 0.2 second, the value is considered to be not in accordance with the characteristics of a common portable health monitoring user, so that the S point found according to the first minimum value after the R point belongs to a misjudgment point.

It should be noted that, in the method for extracting S-point of electrocardiogram provided by the embodiment of the present application, the execution subject may be an apparatus for extracting S-point of electrocardiogram, or a control module in the apparatus for extracting S-point of electrocardiogram. The method for extracting S-point of electrocardiogram by the S-point extracting device is taken as an example in the embodiment of the present application, and the S-point extracting device of electrocardiogram provided by the embodiment of the present application is explained.

an obtaining module 210, configured to obtain an electrocardiographic signal;

an R point extraction module 220, configured to extract a feature point R point in the electrocardiographic signal;

the first classification module 230 is configured to extract a feature S point according to the feature point R point, and classify a cusp class S point in the feature S point to obtain a first S point set;

a second classification module 240, configured to remove S points in the first S point set, where a distance between S points is greater than a preset distance value of a QRS complex starting point, extract a first virtual S point by using a difference method, and classify the first virtual S point to obtain a second S point set;

a third classification module 250, configured to filter S points other than the first S point set and the second S point set in the feature S points, and classify the S point whose first amplitude is smaller than the amplitude of the reference line in the positive direction of the time sequence, which belongs to the right branch of the R point, to obtain a third S point set;

a fourth classification module 260, configured to classify S points in the feature S points other than the first S point set, the second S point set, and the third S point set, so as to obtain a fourth S point set.

In one embodiment, the first classification module includes:

In one embodiment, the method further comprises: the Q point extraction module is used for extracting a first minimum value point Q point before the R point; and determining the distance of the QRS wave waveform according to the position of the Q point.

In an embodiment, the second classification module is specifically configured to find an S point according to a first minimum value point after the R point, and remove the S point if a maximum distance of a QRS wave waveform of the S point exceeds 0.2 seconds.

The electrocardiogram S-point extracting device in the embodiment of the present application may be a device, or may be a component, an integrated circuit, or a chip in a terminal. The device can be mobile electronic equipment or non-mobile electronic equipment. By way of example, the mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a palm top computer, a vehicle-mounted electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a Personal Digital Assistant (PDA), and the like, and the non-mobile electronic device may be a server, a Network Attached Storage (NAS), a Personal Computer (PC), a Television (TV), a teller machine or a self-service machine, and the like, and the embodiments of the present application are not particularly limited.

The device in the embodiment of the present application may be a device having an operating system. The operating system may be an Android (Android) operating system, an ios operating system, or other possible operating systems, and embodiments of the present application are not limited specifically.

The electrocardiogram S-point extraction device provided in the embodiment of the present application can implement each process implemented in the method embodiment of fig. 1, and is not described herein again to avoid repetition.

Optionally, as shown in fig. 3, an electronic device 300 is further provided in this embodiment of the present application, and includes a processor 301, a memory 302, and a program or an instruction stored in the memory 302 and executable on the processor 301, where the program or the instruction is executed by the processor 301 to implement the processes of the above-mentioned embodiment of the method for extracting S-point of electrocardiogram, and can achieve the same technical effects, and no further description is provided here to avoid repetition.

It should be noted that the electronic device in the embodiment of the present application includes the mobile electronic device and the non-mobile electronic device described above.

Drawing (A)4The hardware structure diagram of the electronic device is used for realizing the embodiment of the application.

The electronic device 400 includes, but is not limited to: radio unit 401, network module 402, audio output unit 403, input unit 404, sensor 405, display unit 406, user input unit 407, interface unit 408, memory 409, and processor 410.

Those skilled in the art will appreciate that the electronic device 400 may further include a power source (e.g., a battery) for supplying power to various components, and the power source may be logically connected to the processor 410 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system. The electronic device structure shown in fig. 4 does not constitute a limitation of the electronic device, and the electronic device may include more or less components than those shown, or combine some components, or arrange different components, and thus, the description is omitted here.

It should be understood that in the embodiment of the present application, the input Unit 404 may include a Graphics Processing Unit (GPU) 4041 and a microphone 4042, and the Graphics processor 4041 processes image data of a still picture or a video obtained by an image capturing device (such as a camera) in a video capturing mode or an image capturing mode. The display unit 406 may include a display panel 4061, and the display panel 4061 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 407 includes a touch panel 4071 and other input devices 4072. A touch panel 4071, also referred to as a touch screen. The touch panel 4071 may include two parts, a touch detection device and a touch controller. Other input devices 4072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described in detail herein. The memory 409 may be used to store software programs as well as various data including, but not limited to, application programs and an operating system. The processor 410 may integrate an application processor, which primarily handles operating systems, user interfaces, applications, etc., and a modem processor, which primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 410.

The embodiment of the present application further provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or the instruction is executed by a processor, the program or the instruction implements each process of the above-mentioned method for extracting an S-point of an electrocardiogram, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here.

The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and so on.

The embodiment of the present application further provides a chip, where the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to execute a program or an instruction to implement each process of the above-mentioned embodiment of the method for extracting S-point of electrocardiogram, and can achieve the same technical effect, and in order to avoid repetition, the description is omitted here.

It should be understood that the chips mentioned in the embodiments of the present application may also be referred to as system-on-chip, system-on-chip or system-on-chip, etc.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Further, it should be noted that the scope of the methods and apparatus of the embodiments of the present application is not limited to performing the functions in the order illustrated or discussed, but may include performing the functions in a substantially simultaneous manner or in a reverse order based on the functions involved, e.g., the methods described may be performed in an order different than that described, and various steps may be added, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present application.

While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the present embodiments are not limited to those precise embodiments, which are intended to be illustrative rather than restrictive, and that various changes and modifications may be effected therein by one skilled in the art without departing from the scope of the appended claims.

Claims

1. An electrocardiogram S point extraction method is characterized by comprising the following steps:

acquiring an electrocardiosignal;

extracting a characteristic point R point in the electrocardiosignal;

2. The method for extracting S-point of electrocardiogram according to claim 1, wherein said extracting S-point of feature from said R-point of feature comprises:

judging the positive and negative of the R point of the characteristic point;

if the value of the R point is positive, extracting a characteristic S point;

3. The electrocardiogram S-point extracting method according to claim 1, wherein after said acquiring the electrocardiosignals, the electrocardiogram S-point extracting method further comprises:

extracting a first minimum value point Q point before the R point;

and determining the distance of the QRS wave waveform according to the position of the Q point.

4. The method for extracting S point of electrocardiogram according to claim 3, wherein said removing S points whose distance between S points in said first set of S points is greater than the preset value of distance between the start points of QRS complexes comprises:

5. An electrocardiogram S-point extraction device, comprising:

the acquisition module is used for acquiring electrocardiosignals;

6. The apparatus for extracting S point of electrocardiogram according to claim 5, wherein said first classification module comprises:

7. The apparatus according to claim 5, further comprising:

the Q point extraction module is used for extracting a first minimum value point Q point before the R point; and determining the distance of the QRS wave waveform according to the position of the Q point.

8. The apparatus according to claim 5, wherein the second classification module is specifically configured to find an S point according to a first minimum value point after the R point, and remove the S point if a maximum distance of a QRS wave waveform of the S point exceeds 0.2 seconds.

9. An electronic device, comprising: processor, memory and a program or instructions stored on the memory and executable on the processor, which when executed by the processor implement the steps of the method of extracting S-points of electrocardiograms according to any one of claims 1 to 4.

10. A readable storage medium, characterized in that it stores thereon a program or instructions which, when executed by a processor, implement the steps of the method for extracting S-points of electrocardiograms according to any one of claims 1 to 4.