Seizure forecasting using minimally invasive, ultra‐long‐term subcutaneous electroencephalography: individualized intrapatient models

• Published in: Epilepsia (Copenhagen) Vol. 64; no. S4; pp. S124 - S133
• Main Authors: Viana, Pedro, Pal Attia, Tal, Nasseri, Mona, Duun‐Henriksen, Jonas, Biondi, Andrea, Winston, Joel S., Pavão Martins, Isabel, Nurse, Ewan S., Dümpelmann, Matthias, Schulze‐Bonhage, Andreas, Freestone, Dean R., Kjaer, Troels W., Richardson, Mark P., Brinkmann, Benjamin H.
• Format: Journal Article
• Language: English
• Published: United States Wiley 01.12.2023; Wiley Subscription Services, Inc
• Subjects: Circadian rhythms; Convulsions & seizures; Deep learning; Drug Resistant Epilepsy - diagnosis; EEG; Electroencephalography; Epilepsy; Forecasting; Humans; Mobile health; Periodicity; Prospective Studies; ROC Curve; Seizure forecasting; Seizure prediction; Seizures; Seizures - diagnosis; Subcutaneous EEG; epilepsy; deep learning; seizure prediction; mobile health; subcutaneous EEG; seizure forecasting

© 2022 International League Against Epilepsy Objective: One of the most disabling aspects of living with chronic epilepsy is the unpredictability of seizures. Cumulative research in the past decades has advanced our understanding of the dynamics of seizure risk. Technological advances have recently...