Non-invasive Seizure Detection Using Wearable Wrist-worn Accelerometry and Deep Learning

Excerpt

arXiv:2610.05919v1 Announce Type: cross Abstract: Seizure monitoring and detection are crucial for reducing the morbidity and mortality associated with seizures. Current epilepsy care, often involving expensive video-electroencephalography (VEEG) monitoring, requires specialized expertise and is limited to in-hospital settings, and intrusive in nature. Seizure diaries, on the other hand, suffer from unreliability due to under-reporting, leading to incorrect therapeutic decisions. Wearable non-in