Combining deep neural networks and engineered features for cardiac arrhythmia detection from ECG recordings

Abstract

ENCASE can benefit from both feature engineering-based methods and recent deep neural networks. It is flexible and can easily assimilate the ability of new cardiac arrhythmia detection methods.