Name		Name	Last commit message	Last commit date
biosppy		biosppy
features		features
loading		loading
models		models
physionet_entry		physionet_entry
preprocessing		preprocessing
utils		utils
visualization		visualization
.gitignore		.gitignore
AUTHORS.txt		AUTHORS.txt
LICENSE.txt		LICENSE.txt
README.md		README.md
__init__.py		__init__.py
icon.png		icon.png
main.py		main.py
prepare-entry.sh		prepare-entry.sh
requirements-dev.txt		requirements-dev.txt
requirements.txt		requirements.txt

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The challenge

PhysioNet Computing in Cardiology Challenge 2017: Atrial fibrillation detection from a short single lead ECG recording

https://physionet.org/challenge/2017/

The official results:

https://physionet.org/challenge/2017/results.csv

Our best result is 0.77.

The team

University of Valencia: Computational Multiscale Simulation Lab (CoMMLab).

Team members:

About

AF Classification from a short single lead ECG recording: the PhysioNet/Computing in Cardiology Challenge 2017

atrial-fibrillation ecg machine-learning physionet qrs-detection

GPL-3.0 license

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