Electrocardiosignal QRS wave group identification method based on deep learning

A technology of QRS complexes and ECG signals, applied in the medical field, can solve problems such as noise interference, misunderstanding, and reduce the accuracy of pattern recognition methods, so as to improve accuracy and low noise, improve training accuracy, and maximize application potential and the effect of value
CN110403601AInactive Publication Date: 2019-11-05安徽心之声医疗科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
安徽心之声医疗科技有限公司
Publication Date
2019-11-05
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention brings forward an electrocardiosignal QRS wave group identification method based on deep learning, comprising the following steps: firstly setting a data preprocessing model; normalizingdata sampling rate to a preset frequency threshold, carrying out equal-length splitting on the normalized data to obtain data segments with length d; preprocessing the tagged sample data through thedata preprocessing model, and training according to the preprocessed sample data to obtain a prediction model that outputs probability y containing a QRS wave group in the data segments; preprocessingthe electrocardiosignal data according to the data preprocessing model, and inputting the data segments obtained by preprocessing into the prediction model to obtain probability corresponding to eachdata segment; then selecting data segments corresponding to probability which is greater than the preset frequency threshold to form a QRS wave group. The method is dependent on data and has greaterpotential and value for use in today's rapid development of medical informatization and accumulation of large amounts of data.
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Description

technical field

[0001] The present invention relates to the field of medical technology, in particular to a method for identifying QRS complexes of electrocardiographic signals based on deep learning. Background technique

[0002] Electrocardiogram (ECG) records the electrophysiological signals of heart beating. Each beat can be divided into P wave, QRS complex (QRS-complex), T wave, etc., which correspond to atrial depolarization activity and ventricular depolarization respectively. Atrial repolarization activity, ventricular repolarization activity. Among them, the QRS wave group is the most obvious characteristic band of the electrophysiological signal of heart beating, which reflects the myocardial activity when the ventricle contracts and ejects blood.

[0003] The identification of the QRS complex is the first step in ECG Interpretation. Only by correctly identifying the position of the QRS complex can we: (1) calculate the duration of each heart activity, and then ca...

Claims

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