George B. Moody PhysioNet Challenges

Since December 2021, I have been part of the organizing team for the George B. Moody PhysioNet Challenges. Hosted annually by PhysioNet in cooperation with the Computing in Cardiology conference, these challenges focus on advancing biomedical research by addressing unsolved problems in clinical and basic science. The challenges are supported by major institutions such as the NIH, Google, and the Gordon and Betty Moore Foundation. PhysioNet offers open access to large physiological data sets and related open-source software to drive research and education.

Related Publications

• Reyna, M.A., Deepanshi, Weigle, J., Koscova, Z., Campbell, K., Kodthalu Shivashankara, K., Saghafi, S., Nikookar, S., Motie-Shirazi, M., Kiarashi, Y., Seyedi, S., Clifford, G.D. & Sameni, R., 2024. ECG-Image-Database: A Dataset of ECG Images with Real-World Imaging and Scanning Artifacts; A Foundation for Computerized ECG Image Digitization and Analysis. arXiv. Link
• Reyna, M.A., Kiarashi, Y., Elola, A., Oliveira, J., Renna, F., Gu, A., Perez-Alday, E.A., Sadr, N., Sharma, A., Mattos, S. and Coimbra, M.T., 2022. Heart murmur detection from phonocardiogram recordings: The George B. Moody PhysioNet Challenge 2022. medRxiv, 11, p.278688. Link
• Reyna, M.A., Kiarashi, Y., Elola, A., Oliveira, J., Renna, F., Gu, A., Perez-Alday, E.A., Sadr, N., Sharma, A., Mattos, S. and Coimbra, M.T., 2022. Heart murmur detection from phonocardiogram recordings: The George B. Moody PhysioNet Challenge 2022. Computing in Cardiology 2022. Link