For the past 25 years, PhysioNet and Computing in Cardiology have co-hosted a series of annual challenges, now called the George B. Moody PhysioNet Challenges, to tackle clinically interesting but unsolved questions.
The George B. Moody PhysioNet Challenge 2024 invites teams to develop algorithms for digitizing and classifying electrocardiograms (ECGs) captured from images or paper printouts. Despite recent advances in digital ECG devices, paper or physical ECGs remain common, especially in the Global South. These paper ECGs document the history and diversity of cardiovascular diseases (CVDs), and algorithms that can digitize and classify these images have the potential to improve our understanding and treatment of CVDs, especially for underrepresented and underserved populations.
We ask participants to design and implement working, open-source algorithms that, based only on the provided ECG images, reconstruct the waveforms and/or classify or diagnose the images. The teams with the best scores for these tasks on the hidden test set win the Challenge.
January 25, 2024: The NIH-funded George B. Moody PhysioNet Challenge 2024 is now open! Please read this website for details and share questions and comments on Challenge forum. This year’s Challenge is generously sponsored by MathWorks and AWS.
Supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant number R01EB030362.
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