PhysioNet/CinC Challenge 2017

News from: AF Classification from a Short Single Lead ECG Recording: The PhysioNet/Computing in Cardiology Challenge 2017 v1.0.0.

Feb. 1, 2017

We are excited to announce the opening of the annual PhysioNet/Computing in Cardiology Challenge for 2017: AF Classification from a short single lead ECG recording. A database of over 10,000 ECG recordings is being made freely available exclusively for this competition by AliveCor, and represent a serendipitous sample of patient-initiated recordings of one minute or less. They have all been labeled for rhythm by hand into one of four categories: Normal, Atrial Fibrillation, Other Rhythm or Too Noisy to Process. We challenge the public to develop the most accurate classifier of these data into these four categories. As usual, a portion of these data have been hidden from the public to allow us to objectively assess your algorithms.

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