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Analysis method, device, storage medium and processor of electrocardiographic signal

An electrocardiographic signal and analysis method technology, applied in the direction of sensors, medical science, diagnosis, etc., can solve the problem that the electrocardiographic signal analysis method is difficult to obtain accurate analysis results, and achieve the effect of accurate prediction probability.

Active Publication Date: 2022-06-24
GUANGZHOU SHIYUAN ELECTRONICS CO LTD
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Problems solved by technology

[0006] The main purpose of this application is to provide an analysis method, device, storage medium and processor for electrocardiographic signals, so as to solve the problem that it is difficult to obtain accurate analysis results in the analysis methods of electrocardiographic signals in the prior art

Method used

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  • Analysis method, device, storage medium and processor of electrocardiographic signal
  • Analysis method, device, storage medium and processor of electrocardiographic signal
  • Analysis method, device, storage medium and processor of electrocardiographic signal

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Embodiment 1

[0089] like figure 1 As shown, the analysis process of the ECG signal includes:

[0090] Step S101 , acquiring the heartbeat detection segment of the ECG signal of the subject to be detected.

[0091] In this step, the ECG patch is connected to the electrodes, and the 12-lead ECG signals of the subject to be tested (referred to as 12-lead signals) are collected as the initial ECG signals and stored, and the ECG signals of each lead are not less than 10s. The 12 leads specifically refer to: I, II, III, aVR, aVL, aVF, V1, V2, V3, V4, V5 and V6.

[0092] In order to alleviate the obvious baseline drift, power frequency interference and high-frequency noise of the initial ECG signal, the difficulty of identification is reduced and the accuracy of identification is increased. The ECG signal of each lead was denoised by band-pass filtering. The allowable frequency range of the filter is 0.5 to 49 Hz. Taking the s0433re record of 211 samples of the international public database P...

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Abstract

The present application provides an analysis method, device, storage medium and processor of an electrocardiographic signal. The method includes the steps of: acquiring a heart beat detection segment of an electrocardiographic signal of a subject to be detected; acquiring an analysis model, which is based on a plurality of data The group is obtained by training the self-attention enhanced deep neural network, and each data group is used as a training sample; the analysis model is used to analyze the heart beat detection segment, and the detection result is obtained. The detection result includes whether there is an abnormal signal in the heart beat detection segment. In this method, the analysis model is trained based on self-attention-enhanced deep neural network, which is a self-attention-enhanced deep neural network, which can obtain attention by calculating the correlation between samples Weight, use the weight to highlight the information related to the target, so as to obtain a more accurate analysis model, and then obtain a more accurate analysis result of whether there is an abnormal signal.

Description

technical field [0001] The present application relates to the field of electrocardiographic signal analysis, and in particular, to an electrocardiographic signal analysis method, device, storage medium, and processor. Background technique [0002] Electrocardiogram (ECG) is a means of recording cardiac activity through changes in electromyographic signals. There are many types of ECGs. The 12-lead ECG is the most common clinical ECG. Each lead ECG is the performance of the ECG in different directions of the heart. [0003] Myocardial infarction (MI) is a disease that seriously threatens human life and health, and is the main disease causing human death in recent years. When myocardial infarction occurs, the larger branch of the coronary artery of the heart is completely occluded, forming a thrombus, and myocardial cells are necrotic without blood nutrition. At this time, the electrocardiogram will produce pathological Q waves, ST segment elevation or depression, T wave inve...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/346A61B5/349A61B5/00
CPCA61B5/7267A61B5/7246A61B5/7282A61B5/316A61B5/318A61B5/349
Inventor 王红梅
Owner GUANGZHOU SHIYUAN ELECTRONICS CO LTD
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