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Electrocardiogram signal classification method, device, program product and storage medium

A technology of electrocardiogram signal and classification method, which is applied in the field of data processing, can solve problems such as inaccurate classification of electrocardiogram signals, and achieve the effect of improving classification accuracy and avoiding interference

Active Publication Date: 2019-08-20
NEUSOFT CORP
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Problems solved by technology

[0005] In view of this, the embodiment of the present application provides a method, device, program product, and storage medium for classifying ECG signals to solve the technical problem of inaccurate ECG signal classification in the prior art

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  • Electrocardiogram signal classification method, device, program product and storage medium
  • Electrocardiogram signal classification method, device, program product and storage medium
  • Electrocardiogram signal classification method, device, program product and storage medium

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Embodiment Construction

[0051] In order to make the above objectives, features, and advantages of the present application more obvious and understandable, the following describes the embodiments of the present application in further detail with reference to the accompanying drawings and specific implementations.

[0052] In the research of the traditional ECG signal processing method, the inventor found that the traditional ECG signal processing-based morphological detection relies on preset thresholds for classification. In fact, the ECG signal of each person is quite different. Using a unified signal processing method combined with a fixed threshold for classification will lead to inaccurate classification results.

[0053] Based on this, the embodiment of the present application provides an ECG signal classification method, specifically, cutting the acquired ECG signal to obtain heartbeat data, and real-time heartbeat data. Then, the heartbeat data is converted to obtain the frequency domain heartbeat ...

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Abstract

The embodiment of the invention discloses an electrocardiogram signal classification method and a device. The method comprises the following steps: carrying out heart beat cutting on electrocardiogramsignals to be classified so as to obtain heart beat data, wherein the heart beat data is time-domain heart beat data; then, converting the heart beat data to obtain frequency-domain heart beat data,and extracting statistical characteristics and sampling characteristics of the heart beat data and the frequency-domain heart beat data as the heart beat characteristics of the heart beat data; identifying invalid heart beat data according to the heart beat characteristics of the heart beat data so as to remove the invalid heart beat data from the heart beat data and to obtain updated heart beat data; and inputting the heart beat characteristics of the updated heart beat data into a heart beat classification model to obtain a classification result of the heart beat data. The invention performsclassification by using the heart beat characteristics peculiar to each heart beat data. Compared with the prior art that classification is carried out by sampling a fixed threshold value, the methodimproves the classification accuracy.

Description

Technical field [0001] This application relates to the technical field of data processing, in particular to an ECG signal classification method, device, program product, and storage medium. Background technique [0002] Before the heart beats, the myocardium is excited first, and a weak current is generated during the excitation process, which is conducted to all parts of the body through the tissues. Since the tissues of each part of the body are different, and the distance between each part and the heart is different, various parts of the body surface of the human body show different potential changes. The surface potential and time generated by the electrical activity in the human heart can constitute the electrocardiogram signal. [0003] ECG signal is an important reference for doctors to judge the condition of the heart, and its processing and analysis are particularly important. With the advancement of computer technology and the development of artificial intelligence theo...

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Application Information

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IPC IPC(8): A61B5/0402A61B5/00
CPCA61B5/7203A61B5/7267A61B5/316A61B5/318
Inventor 李鸣春朱宝峰何光宇
Owner NEUSOFT CORP
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