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Epileptic seizure forecasting with wearable-based nocturnal sleep features.

Tian Yue DingLaura GaglianoAmirhossein JahaniDenahin H ToffaDang K NguyenElie Bou Assi
Published 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.
Keyphrases
  • temporal lobe epilepsy
  • sleep quality
  • physical activity
  • heart rate
  • blood pressure
  • machine learning
  • deep learning
  • obstructive sleep apnea
  • stress induced