Adaptive Nocturnal Seizure Detection Using Heart Rate and Low-Complexity Novelty Detection

An important question in epilepsy is how the quality of life of refractory patients can be improved. One of the most proposed solutions is the use of real-time warning systems, which automatically detect ongoing seizures and warns the patients’ caregivers when such an event occurs [1]. Such a system is of great demand for pediatric patients and their parents, certainly for nocturnal monitoring. It allows the caregivers to give proper treatment to the patient whenever a seizure alarm is generated, leading to an improved quality of life at home.

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