Deep learning-based classification of massive electrocardiography data

Classification is the basis of electrocardiography (ECG) analysis. In the last decades, a large number of methods were proposed to deal with the classification of ECG beats. In this paper a kind of deep learning method is introduced into ECG beats classification. We create a classifier with stacked sparse autoencoder (SAE), and then combine the softmax… CONTINUE READING