AUTHOR=Chatzichristos Christos , Swinnen Lauren , Macea Jaiver , Bhagubai Miguel , Van Paesschen Wim , De Vos Maarten TITLE=Multimodal detection of typical absence seizures in home environment with wearable electrodes JOURNAL=Frontiers in Signal Processing VOLUME=2 YEAR=2022 URL=https://www.frontiersin.org/journals/signal-processing/articles/10.3389/frsip.2022.1014700 DOI=10.3389/frsip.2022.1014700 ISSN=2673-8198 ABSTRACT=

Patients with absence epilepsy fail to report almost 90% of their seizures. The clinical gold standard to assess absence seizures is video-electroencephalography (vEEG) recorded in the hospital, an expensive and obtrusive procedure which requires also extended reviewing time. Wearable sensors, which allow the recording of electroencephalography (EEG), accelerometer and gyroscope have been used to monitor epileptic patients in their home environment for the first time. We developed a pipeline for accurate and robust absence seizure detection while reducing the review time of the long recordings. Our results show that multimodal analysis of absence seizures can improve the robustness to false alarms, while retaining a high sensitivity in seizure detection.