Atrial fibrillation detection based on multi-feature extraction and convolutional neural network for processing ECG signals.

Background And Objective: The incidence of atrial fibrillation is increasing annually. We develop an automatic detection system, which is of great significance for the early detection and treatment of atrial fibrillation. This can lead to the reduction of the incidence of critical illnesses and mortality.