Medicine and Health Sciences Commons^™

Seizure Detection, Seizure Prediction, And Closed-Loop Warning Systems In Epilepsy, S Ramgopal, S Thome-Souza, M Jackson, N E. Kadish, I Sanchez Fernandez, J Klehm, William Bosl, C Reinsberger, S Schachter, T Loddenkemper

Nursing and Health Professions Faculty Research and Publications

Nearly one-third of patients with epilepsy continue to have seizures despite optimal medication management. Systems employed to detect seizures may have the potential to improve outcomes in these patients by allowing more tailored therapies and might, additionally, have a role in accident and SUDEP prevention. Automated seizure detection and prediction require algorithms which employ feature computation and subsequent classification. Over the last few decades, methods have been developed to detect seizures utilizing scalp and intracranial EEG, electrocardiography, accelerometry and motion sensors, electrodermal activity, and audio/video captures. To date, it is unclear which combination of detection technologies yields the best results, …