【摘要】 我们综述了深度学习在心电图(electrocardiogram, ECG)诊断应用中的最新研究进展,详细阐述了卷积神经网络、循环神经网络、深度信念网络、深度残差网络的应用实例,比较了基于不同神经网络的心电图模型,并对各种计算机辅助诊断模型的具体临床应用进行分析,总结了深度学习在心电图诊断中面临的问题及未来发展趋势。更多还原

【Abstract】 We summarize the latest research progress of deep learning in electrocardiogram(ECG) diagnostic applications, and elaborate the application examples of convolutional neural networks, recursive neural networks, deep belief networks,and deep residual networks.By comparing the ECG models based on different neural networks and analyzing the specific clinical applications of various computer-aided diagnosis models,we summarize the problems of deep learning in ECG diagnosis and the development trends in the future.更多还原