Convolutional Recurrent Neural Networks for Electrocardiogram Classification

1 code implementation • 17 Oct 2017 • Martin Zihlmann, Dmytro Perekrestenko, Michael Tschannen

We propose two deep neural network architectures for classification of arbitrary-length electrocardiogram (ECG) recordings and evaluate them on the atrial fibrillation (AF) classification data set provided by the PhysioNet/CinC Challenge 2017.

Classification Data Augmentation +1