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 in heart sound recordings collected from multiple auscultation locations.
We ask participants to design and implement a working, open-source algorithm that, based only on the provided recordings and routine demographic data, can determine whether any murmurs are audible from a patient’s recordings. We have designed a scoring function that reflects the burden of algorithmic pre-screening, expert screening, treatment, and missed diagnoses. The team with the lowest score wins the Challenge.
Supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant R01EB030362.