An embodiment of the invention discloses an intelligent abnormal ECG-assisted diagnosis method based on deep learning. The method includes preprocessing an ECG signal to obtain a binary image of eachcardiac cycle in the ECG signal; adopting a deep convolutional neural network to extract deep implicit features of each binary image; classifying the heart beat in the ECG according to the features bya classifier.
Intelligent abnormal ECG-assisted diagnosis method based on deep learning