| abstract |
A system performs concurrent detection and early detection of epileptic seizure episodes, based on scalp electroencephalogram (EEG) of a patient collected through a data acquisition device in the course of the patient's normal daily activities. An early detection model, which is trained and retrained applying machine learning techniques at predetermined intervals on the collected data, enables issuing of an early warning of an upcoming seizure episode to allow the patient to take necessary preparatory actions (e.g., seeking a safe location for the episode to happen and alerting care-givers). |