Iruvaram Sudhir Chaitanya Kumar

A deep hybrid CNN–BiGRU model for inter-patient ECG beat classification

The study provides proof of concept for using hybrid deep learning architectures in automated ECG analysis and indicates that combining convolutional neural networks with bidirectional gated recurrent units improves the representation of both morphological and temporal ECG characteristics.