SeizeIT: a multimodal wearable to detect epileptic seizures

Video-electroencephalography (video-EEG) is currently the gold standard for diagnosing and detecting seizures in people with epilepsy. However, its use is often limited to a hospital setting because of the sizeable equipment. Preliminary evidence shows that an unobtrusive wearable, which can be worn long-term at home, could be a promising tool in improving the quality of care for epilepsy patients. The aim of this multicentre study is to determine the accuracy of seizure annotations based on data from a 2-channel biopotential (ExG) and motion recording wearable (Byteflies Sensor Dot) and compare this to data from video-EEG or seizure diaries. This will be evaluated in an in-hospital phase (n=500) as well as in an outpatient/home-based phase (n=200). Secondly, usability of the wearable and duration and severity of the seizures will be assessed. We hypothesize that this wearable can be sufficient to objectively monitor seizures in patients with particular types of epilepsy (focal impaired awareness, absence, and/or tonic-clonic seizures), both in a hospital as in a home environment. Moreover, the seizure annotations will be stored in a database, which will be a valuable tool for further epilepsy research.