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.

中文翻译：

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基于深度学习的心电疾病诊断新方法

基于深度学习的心电图诊断研究是当前的热门话题。从人体表面电极采集心电图信号并获得心电图。研究过程是将工程技术融入医学领域，体现跨学科结合的新方向。本文介绍了心电信号的基本原理和心电信号的基本分析方法。实验结果表明，一维卷积神经网络的应用比传统方法更有效、更准确。理论方法的设计为电生理信号的进一步研究和临床诊断提供了技术支持和理论依据。