Epilepsy detection at home

Nowadays, the golden standard for epilepsy detection is based on EEG recordings, measuring the electrical activity of the brain. Often, this is combined with nurses looking to the video recording of the patients. However, measuring and interpreting EEG and video data is time consuming and only possible in a clinical environment. This demo visualizes a research project with as goal to develop a reliable stand-alone system for the detection and classification of nocturnal epileptic seizures (convulsions) based on video images and accelerometer data. The purpose is at one hand to log the epileptic seizures in a database so the neurologist has an objective measure of the number of seizures, and at the other hand to alarm the parents of caregivers when a seizure occurs where care is needed afterwards. Moreover, it is applicable in a home environment and allows long-term recordings.