Assessment of electrocardiograms with pretraining and shallow networks

Objective: Clinical Decision Support Systems normally resort to annotated signals for the automatic assessment of ECG signals. In this paper we put forward a new method for the assessment of normal/abnormal heart function from raw ECG signals (i.e. signals without annotation) based on shallow neural networks with pretraining.