ICMR Sponsored Seminar On Deep Learning Techniques and Tools for Medical Applications
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Atrial Fibrillation
Hyper-parameter tuning - DNN
Sleep Apnea
heartsound - PCG
python basics
DeepLearning for Bio-medical Applications.pdf



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/