Jaebin Cha

Multi-Label Abnormality Classification from 12-Lead ECG Using A 2D Residual U-Net

This paper proposes a two-dimensional (2D) deep neural network (DNN) model for the electrocardiogram (ECG) abnormality classification, which effectively utilizes the inter and intra-lead information comprised in the 12-lead ECG. The proposed model is designed using a stack of residual U-shaped (ResU…