CN-116807490-B - Electrocardiogram processing method, electrocardiogram processing device, medical equipment and storage medium

CN116807490BCN 116807490 BCN116807490 BCN 116807490BCN-116807490-B

Abstract

The application provides an electrocardiogram processing method, an electrocardiogram processing device, medical equipment and a storage medium. The method comprises the steps of drawing an electrocardiograph scatter diagram according to a target electrocardiograph, analyzing electrocardiograph waveforms of the electrocardiograph on the target electrocardiograph according to the electrocardiograph scatter diagram to obtain waveform parameters of the electrocardiograph, and superposing the waveform parameters on the electrocardiograph to display the waveform parameters on the target electrocardiograph. According to the method, the electrocardiographic wave analysis can be accurately performed on the electrocardiograph, and a doctor does not need to manually perform electrocardiographic wave parameter measurement operation when analyzing the dynamic electrocardiograph, so that the analysis time of the doctor is shortened, and the workload of the doctor can be reduced through the method.

Inventors

Fan Xiaobiao
OuYang Zhuoran
LING FENG

Assignees

深圳市理邦精密仪器股份有限公司

Dates

Publication Date: 20260505
Application Date: 20220317

Claims (8)

1. A method of processing an electrocardiogram, comprising: Drawing an electrocardiographic scatter diagram according to the target electrocardiogram; Carrying out electrocardiographic waveform analysis on a heart beat on a target electrocardiogram according to the electrocardiograph scatter diagram to obtain waveform parameters of the heart beat; Superimposing the waveform parameters onto the beat for display on a target electrocardiogram; the electrocardiographic waveform analysis is performed on the electrocardiograph on the target electrocardiograph according to the electrocardiograph scatter diagram to obtain waveform parameters of the electrocardiograph, and the method comprises the following steps: classifying all cardiac beats on a target electrocardiogram into template classes or non-template classes according to the electrocardiograph scatter diagram; Determining the offset of each heart beat in templates corresponding to the heart beat templates and the heart beat templates, and determining the heart wave form segmentation result of each heart beat in the templates according to the coordinates of the heart beat, the offset and the template segmentation result; performing artifact identification on each heart beat in the non-template class to obtain a non-artifact heart beat and an artifact heart beat, and performing electrocardiographic waveform segmentation on each non-artifact heart beat; Determining the electrocardio waveform characteristic points of each heart beat according to the electrocardio waveform segmentation result of each heart beat; and obtaining waveform parameters of the heart beat according to the electrocardio waveform characteristic points.
2. The method of claim 1, wherein the drawing an electrocardiographic scattergram from the target electrocardiogram comprises: Performing signal noise reduction on the target electrocardiogram; R wave positioning is carried out on the target electrocardiogram after the signal noise reduction, and an RR interval sequence is generated; And drawing an electrocardiographic scatter diagram according to the RR interval sequence.
3. The method of claim 2, wherein said signal denoising the target electrocardiogram comprises: and removing baseline drift and power frequency interference in the target electrocardiogram, and carrying out band-pass filtering on the target electrocardiogram to obtain the target electrocardiogram after signal noise reduction.
4. The method of claim 1, wherein classifying all beats on a target electrocardiogram as either template or non-template classes according to the electrocardiographic scatter plot comprises: Dividing the electrocardiograph scatter diagram to obtain a plurality of corresponding dividing areas; superposing heart beats corresponding to scattered points in each divided area to generate a superposition waveform chart; decomposing the superimposed waveform diagram, classifying N heart beats into a template according to the morphological similarity to obtain M template classes, wherein N is greater than a preset threshold K; classifying the heart beats corresponding to each segmentation area on the electrocardiograph scatter diagram, and classifying all heart beats into template classes or non-template classes.
5. The method according to claim 1, wherein the method further comprises: And storing correction marks of the user on the electrocardiograph scatter diagram or the waveform parameters.
6. An electrocardiogram processing apparatus, comprising: the drawing module is used for drawing an electrocardiographic scatter diagram according to the target electrocardiogram; The analysis module is used for carrying out electrocardiographic waveform analysis on the cardiac beat on the target electrocardiogram according to the electrocardiograph scatter diagram to obtain waveform parameters of the cardiac beat; A visualization module for superimposing the waveform parameters onto the heart beat for display on a target electrocardiogram; The analysis module is specifically configured to: classifying all cardiac beats on a target electrocardiogram into template classes or non-template classes according to the electrocardiograph scatter diagram; Determining the offset of each heart beat in templates corresponding to the heart beat templates and the heart beat templates, and determining the heart wave form segmentation result of each heart beat in the templates according to the coordinates of the heart beat, the offset and the template segmentation result; performing artifact identification on each heart beat in the non-template class to obtain a non-artifact heart beat and an artifact heart beat, and performing electrocardiographic waveform segmentation on each non-artifact heart beat; Determining the electrocardio waveform characteristic points of each heart beat according to the electrocardio waveform segmentation result of each heart beat; and obtaining waveform parameters of the heart beat according to the electrocardio waveform characteristic points.
7. A medical device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the method of any one of claims 1 to 5.
8. A computer readable medium having stored thereon computer readable instructions executable by a processor to implement the method of any one of claims 1 to 5.

Description

Electrocardiogram processing method, electrocardiogram processing device, medical equipment and storage medium Technical Field The present application relates to the field of medical technology, and in particular, to a method and apparatus for processing an electrocardiogram, a medical device, and a computer readable storage medium. Background The electrocardiosignals can effectively reflect the electrical activity and the health state of the heart, can be easily obtained from an electrocardiogram, and can be observed by a doctor through the waveform of the electrocardiogram. The characteristic points of the electrocardio waveforms are accurately positioned, and the calculation of the relevant parameters of the electrocardio waveforms can help doctors to carry out disease analysis and pathological research, reduce the workload of the doctors and help the doctors to carry out auxiliary diagnosis. The existing dynamic electrocardiograph diagnosis mode is that heart beats of different categories are obtained by classifying the heart beats, and then heart beats of each category are divided into a plurality of different templates, and a doctor performs diagnosis analysis according to the heart beat categories and the templates. The classification of the templates of the heart beats refers to classifying heart beats with similar forms into the same type of heart beats in a certain dynamic electrocardiogram, wherein the heart beats are heart beat templates, and heart beats with different forms are classified into different templates. The analysis mode has high accuracy requirements on heart beat classification, and if the heart beat classification accuracy is low, doctors can only manually classify one by one, so that time and labor are wasted, and the efficiency is low. In addition, the overall accuracy of the current heart beat classification algorithm is not high, and a great deal of time is consumed in the process of diagnosis in the process of traditional Chinese medicine reading. In addition, the current auxiliary diagnostic tool generally only outputs heart beat types, and other auxiliary analysis parameters need to be measured manually by a doctor, so that the working efficiency of the doctor is further reduced. Disclosure of Invention The application aims to provide an electrocardiogram processing method, an electrocardiogram processing device, medical equipment and a computer readable storage medium, which can accurately analyze an electrocardiogram and reduce the workload of doctors. The first aspect of the present application provides a method for processing an electrocardiogram, including: Drawing an electrocardiographic scatter diagram according to the target electrocardiogram; Carrying out electrocardiographic waveform analysis on a heart beat on a target electrocardiogram according to the electrocardiograph scatter diagram to obtain waveform parameters of the heart beat; The waveform parameters are superimposed on the heart beat for display on a target electrocardiogram. In a possible implementation manner, in the method provided by the present application, the drawing an electrocardiographic scattergram according to a target electrocardiogram includes: Performing signal noise reduction on the target electrocardiogram; R wave positioning is carried out on the target electrocardiogram after the signal noise reduction, and an RR interval sequence is generated; And drawing an electrocardiographic scatter diagram according to the RR interval sequence. In a possible implementation manner, in the method provided by the present application, the performing signal noise reduction on the target electrocardiogram includes: and removing baseline drift and power frequency interference in the target electrocardiogram, and carrying out band-pass filtering on the target electrocardiogram to obtain the target electrocardiogram after signal noise reduction. In a possible implementation manner, in the method provided by the present application, the performing, according to the electrocardiograph scatter diagram, electrocardiographic waveform analysis on a cardiac beat on a target electrocardiogram to obtain waveform parameters of the cardiac beat includes: classifying all cardiac beats on a target electrocardiogram into template classes or non-template classes according to the electrocardiograph scatter diagram; determining a heart beat from each type of template as a heart beat template of the type of template, and dividing the electrocardiographic waveform of each heart beat in the type of template according to the heart beat template; performing artifact identification on each heart beat in the non-template class to obtain a non-artifact heart beat and an artifact heart beat, and performing electrocardiographic waveform segmentation on each non-artifact heart beat; Determining the electrocardio waveform characteristic points of each heart beat according to the electrocardio waveform segmentation result of each hea