Resources


Challenge Open Access

Classification of 12-lead ECGs: the PhysioNet - Computing in Cardiology Challenge 2020

Erick Andres Perez Alday, Annie Gu, Amit Shah, Chengyu Liu, Ashish Sharma, Salman Seyedi, Ali Bahrami Rad, Matthew Reyna, Gari Clifford

The goal of the 2020 PhysioNet - Computing in Cardiology Challenge is to design and implement a working, open-source algorithm that can automatically identify cardiac abnormalities in 12-lead ECG recordings.

Published: April 23, 2020. Version: 1.0.1


Software Open Access

TWAnalyser - A T-wave Alternans Detector

This software suite consists of Matlab implementations of the widely used Spectral Method (SM) and Modified Moving Average (MMA) for T-wave alternans (TWA) detection. It was initially developed for the PhysioNet/CinC Challenge 2008, in which these a…

ecg

Published: Nov. 18, 2008. Version: 1.0.0


Software Open Access

EVAL_ST Tool

The EVAL_ST tool is an open source tool to evaluate and compare performance and robustness of ST episode detection algorithms. The tool supports all standard and other relevant performance measures, aggregate gross and average statistics, and bootst…

arrhythmia

Published: Sept. 17, 2004. Version: 1.0.0