Epileptic seizure forecasting with wearable-based nocturnal sleep features.
Tian Yue DingLaura GaglianoAmirhossein JahaniDenahin H ToffaDang K NguyenElie Bou AssiPublished in: Epilepsia open (2024)
Seizure forecasting with wearable devices may improve the quality of life of people living with epilepsy who experience unpredictable, recurrent seizures. In this study, we have developed a seizure forecasting algorithm using sleep characteristics obtained from a smart shirt worn at night by a large number of hospitalized patients with epilepsy (78). A daily seizure forecast was generated following each night using machine learning methods. Our results show that around half of people with epilepsy may benefit from such an approach.