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