Hui Lu und Julia Yip of the Friedrich-Alexander-University Erlangen-Nürnberg not only won the Poster Challenge of the Physionet-Challenge (https://moody-challenge.physionet.org/2022/), but now also were awarded the first place in the overall rating for the best algorithm for the automated detection of heart murmurs with the aid of machine learning!

For this years Physionet Challenge „Heart Murmur Detection from Phonocardiogram Recordings“ heart sound needed to be automatically registered from withing acusticly measured data. The algorithms designed by Hui and Julia provide the basis to recognize heartdefects in stethoscope data.

For the Best Poster Award 89 teams competed, which all presented their approaches the the jury. Congratulations to our PhD students for their winning algorithm!