A Study of Deep Feature Fusion based Methods for Classifying Multi-lead ECG

6 Aug 2018Bin ChenWei GuoBin LiRober K. F. TengMingjun DaiJianping LuoHui Wang

An automatic classification method has been studied to effectively detect and recognize Electrocardiogram (ECG). Based on the synchronizing and orthogonal relationships of multiple leads, we propose a Multi-branch Convolution and Residual Network (MBCRNet) with three kinds of feature fusion methods for automatic detection of normal and abnormal ECG signals... (read more)

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