Abstract
The research of ECG diagnosis based on deep learning is a hot topic at present. ECG signals are collected from human body surface electrodes and electrocardiograms are obtained. The research process is to integrate engineering technology into the medical field, reflecting the new direction of interdisciplinary combination. This paper introduces the basic principle of ECG signal and the basic analysis method of ECG. The experimental results show that the application of one-dimensional convolutional neural network is more effective and accurate than the traditional methods. The design of the theoretical method has provided the technical support and theoretical basis for the further study of electrophysiological signals and the clinical diagnosis.
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