George B. Moody PhysioNet Challenge


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 info 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.

George B. Moody PhysioNet Challenges

For the past 23 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 questions that are either unsolved or not well-solved.

The George B. Moody PhysioNet Challenge 2022 invites participants to identify murmurs and clinical outcomes using heart sound recordings collected from multiple auscultation locations.

We ask participants to design and implement working, open-source algorithms that, based only on the provided recordings and routine demographic data, can determine whether any murmurs are audible from a patient’s recordings, and whether confirmatory diagnostic testing revealed abnormal cardiac function. We have designed a scoring function that reflects the burden of algorithmic pre-screening, expert screening, treatment, and delayed and missed diagnoses. The teams with the best scores for these tasks win the Challenge.

Please check the below links for information about current and past Challenges, including important details about scoring and test data for previous Challenges.

Recent News

Current Challenge

Past Challenges

Supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant number R01EB030362.