Complete the application form by 20 January to participate in the Challenge:

https://biomedepi.github.io/seizure_detection_challenge/registration/

In this challenge, participants are asked to train Machine Learning (ML) models to accurately detect seizure events in data obtained from more than 200 epilepsy patients using a wearable device. The challenge is based on a unique dataset obtained from wearable devices used by patients of KU Leuven university hospitals.

The challenge will kick off on 3 February with an online workshop, followed by release of the dataset to participants. Throughout the challenge period, regular online Q&A sessions will be organised to provide guidance and foster exchange among participants. In April, participants and Una Europa experts from the fields of neuroscience, machine learning, signal processing and cognitive science will come together in a joint workshop, held in hybrid format. Here, participants will have the chance to present their findings and discuss their results with experts.

High-scoring participants within the first six weeks will be eligible to win a ‘wild card’ to be funded to travel to Leuven for the workshop. Results may be presented internationally at the 2025 EMBC Conference in Copenhagen in July.