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Title: Seizure Forecasting Systems: Brain-Computer Interfaces BCIs for Predicting Seizures in Children with Epilepsy

Speaker:  Dr. Areej Al-Wabil

Abstract: Seizure Forecasting Systems hold promise for improving the quality of life for patients with Epilepsy. Epilepsy afflicts nearly 1% of the world's population, and is characterized by the occurrence of spontaneous seizures. Seizure Forecasting Systems have the potential to help patients with epilepsy lead more normal lives. In order for BCI-based epilepsy prediction systems to work effectively, computational algorithms must reliably identify periods of increased probability of seizure occurrence. If these seizure-permissive brain states can be identified, devices designed to warn patients of impeding seizures would be possible, and they could avoid potentially dangerous activities like swimming, biking (or driving in adults). Moreover, medications could be administered only when needed to prevent impending seizures, reducing overall side effects. In this talk, we look at the state-of-the art in Seizure Forecasting Systems and present SKERG's work-in progress for seizure forecasting developed in collaboration with local medical centers.

 

Speaker's Bio: Dr Areej is the coordinator of the Software and Knowledge Engineering Research Group. Her research focuses on application-driven approaches to Ubiquitous Computing concerning Human-Computer Interaction (HCI), Brain-Computer Interaction (BCI) and Software Engineering (SWE) in the domain of assistive technologies for people with disabilities.

 

Date/Time: Tuesday, Oct 14 12-1pm

Location: CCIS Auditorium, F49 in Building 6 (Broadcast to Room 2079 in CCIS Building 31)