A team of our Lab has been awarded the Best PhysioNet/CinC Challenge Poster. The goal of the 2023 Challenge was to use longitudinal EEG and ECG recordings to predict good and poor patient outcomes after cardiac arrest.

Title: “Predicting Comatose Patient’s Outcome Using Brain Functional Connectivity with a Random Forest Model”. 

Authors: Inês W Sampaio, Matteo Leccardi, Cristian Drudi, Jiaying Liu, Francesca Righetti, Anna M. Bianchi, Riccardo Barbieri, Luca Mainardi.