PhysioNet/CinC Challenges


Quick links for this year's Challenge:

Please post questions and comments in the forum. However, if your question reveals information about your entry, then please email challenge at We may post parts of our reply publicly if we feel that all Challengers should benefit from it. We will not answer emails about the Challenge to any other address.

The PhysioNet/Computing in Cardiology Challenges

For the past 21 years, PhysioNet and Computing in Cardiology have co-hosted a series of annual challenges to tackle clinically interesting questions that are either unsolved or not well-solved.

The PhysioNet/Computing in Cardiology Challenge 2020 invites participants to identify clinical diagnoses from 12-lead ECG recordings. We ask participants to design and implement a working, open-source algorithm that can, based only on the clinical data provided, automatically identify the cardiac abnormality or abnormalities present in each 12-lead ECG recording. The winners of the Challenge will be the team whose algorithm achieves the highest score for recordings in the hidden test set.

Current Challenge

Past Challenges