PhysioNet Challenge

Will Two Do? Varying Dimensions in Electrocardiography: the PhysioNet - Computing in Cardiology Challenge 2021

The goal of the 2021 PhysioNet Challenge is to identify clinical diagnoses from twelve-lead, six-lead (I, II, III, aVL, aVR, and aVF), three-lead (I, II, and V2) and two-lead (II and V5) ECG recordings. 

Participants are asked to design and implement a working algorithm that, based only on the provided twelve-lead ECG recordings and routine demographic data, can automatically identify any cardiac abnormalities present in the recording. Prizes are awarded for the top performing twelve-lead algorithm and the top performing two-lead and six-lead algorithms.

For more details, data and latest updates about the objectives of this year’s Challenge, please see:

Complimentary Software

MathWorks provides complimentary software for this competition. If your team is participating in this competition and needs software, fill out the software request form.

Request software

Student Tutorials and Videos

Learn how to use MATLAB and Simulink to design algorithms, create simulations, deploy code, and speed up software development for your projects.

Competition Resources

Video Tutorials for Your Team

Interactive Online Tutorials

Learn by doing! Our two-hour online courses provide a hands-on learning environment where you will interact with a web-based version of MATLAB and receive instant and contextual feedback.

View all tutorials

Learn to Code with MATLAB

Learn to Code is an online, interactive one-hour tutorial that teaches the basics of programming using MATLAB for ages 12+.