Convolutional Recurrent Neural Networks for Electrocardiogram Classification

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) classif…