Multimodal detection of typical absence seizures in home environment with wearable electrodes

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