Method and device for classifying electrocardiographic signals

Abstract

The present application relates to a method and device for classifying electrocardiographic signals. The method includes: acquiring a first electrocardiographic signal, calculating a first derivative sequence corresponding to the first electrocardiographic signal; extracting an R-wave peak point sequence from the first derivative sequence according to a preset R-wave peak detection threshold and a preset length window , and generate a binary image corresponding to the R-wave peak point sequence; input the binary image to the preset abnormal heart rate detection model to obtain the initial abnormal heart rate detection result; judge according to the initial abnormal heart rate detection result and the preset abnormal heart rate type A strategy for determining the abnormal heart rate type of the first ECG signal. Under the premise of ensuring low energy consumption, high detection accuracy and speed can be achieved. Timely detect arrhythmia and confirm its type, improve diagnosis efficiency and save medical resources.

Description

Method and device for classifying electrocardiographic signals technical field [0001] The present application relates to the field of computer technology, in particular to a method and device for classifying electrocardiographic signals. Background technique As a kind of important information reflecting patient's vital signs, electrocardiogram signal has been widely used in the diagnosis of various cardiac abnormalities. It can also be used to predict the morbidity and mortality of cardiovascular disease. History and duration of atrial fibrillation Early diagnosis and treatment of heart disease is crucial. By capturing the early symptoms of these patients with cardiovascular disease, there are Helps to effectively avoid the threat of death in the early stages of disease onset. Thus, early correct diagnosis of cardiac abnormalities can Increase the chance of successful treatment. However, the abnormal heart rate in the ECG signal is mostly intermittent and occasi...

AI Technical Summary

Problems solved by technology

[0003] However, the abnormal heart rate in the ECG signal is mostly intermittent and sporadic. Therefore, it is necessary to continuously monitor the patients with abnormal heart rate for a long time, and transmit the monitored data to the mobile terminal uninterruptedly, and have a long-term consultation with the doctor. Interaction wastes diagnosis and treatment time and medical resources and limits diagnostic efficiency

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