We are delighted to announce the opening of the George B. Moody PhysioNet Challenge 2023
. This year’s Challenge invites teams to use electroencephalogram (EEG) recordings to predict the neurological recovery of patients from coma after cardiac arrest.
We have shared example code and scoring code in both MATLAB and Python, and we will open the scoring system later in February, so please be on the lookout for an announcement soon!
As in previous years, we have divided the Challenge into two phases: an unofficial phase and an official phase. The unofficial phase solicits feedback from the research community (i.e., you) to help us to improve the Challenge for the official phase, so we require teams to register and participate in the unofficial phase of the Challenge to be eligible for a prize
. Please enter early and often – we need you to look for quirks in our data, our scoring system, and otherwise. We are imperfect (and bandwidth-limited), so we rely on the community to help us to improve the quality of the Challenge each year.
More information will be posted on the PhysioNet Challenge website
and the Challenge forum
as it becomes available. Please post questions and comments to the Challenge forum as well. However, if your question reveals information about your entry, then please email info [at] physionetchallenge.org
instead to help us safeguard the diversity of approaches to the Challenge. We may post parts of our replies publicly if we feel that all Challengers should benefit from the information contained in our responses. We will not answer emails about the Challenge sent to other email addresses.
Many thanks again for your continued support of this event, and we hope that you enjoy the 2023 Challenge!
Matthew A. Reyna, Edilberto Amorim, Michel J. van Putten, Jeanette Hoffmeijer, Nicolas Gaspard, Adithya Sivaraju, Susan Herman, Jong Woo Lee, M. Brandon Westover, Gari D. Clifford
(On behalf of the Challenge team. )