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Atrial Fibrillation-physionet
Hyper-parameter tuning - DNN
PCG-physionet
Sleep Apnea-physionet
heartsound - PCG-database
python basics
FDP-2017.pdf
README.md

README.md

TEQUIP-FDP-TKM-2017

Papers

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/