Please cite the following papers, if you use the code as part of your research
Real-Time Detection of Atrial Fibrillation from Short Time Single Lead ECG Traces Using Recurrent Neural Networks
Instantaneous Heart Rate as a Robust Feature for Sleep Apnea Severity Detection using Deep Learning
Single Sensor Techniques for Sleep Apnea Diagnosis using Deep Learning
Anomaly detection in Phonocardiogram employing Deep learning
Deep models for Phonocardiography (PCG) classification
Atrial Fibrillation: Data set is from https://physionet.org/physiobank/database/afdb/
PCG-physionet: Data set is from https://physionet.org/challenge/2016/
Sleep Apnea: Data set is from https://www.physionet.org/physiobank/database/apnea-ecg/
heartsound - PCG: Data set is from http://www.peterjbentley.com/heartchallenge/