Jesper Jeppesen

Biomarkers of seizure severity derived from wearable devices

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review


  • Sándor Beniczky
  • Anca A. Arbune, Carol Davila University of Medicine and Pharmacy, Department of Clinical Neurophysiology, Danish Epilepsy Center, Dianalund
  • ,
  • Jesper Jeppesen
  • Philippe Ryvlin, Department of Clinical Neurosciences, Vaud University Hospital Center, Lausanne, Switzerland

Besides triggering alarms, wearable seizure detection devices record a variety of biosignals that represent biomarkers of seizure severity. There is a need for automated seizure characterization, to identify high-risk seizures. Wearable devices can automatically identify seizure types with the highest associated morbidity and mortality (generalized tonic-clonic seizures), quantify their duration and frequency, and provide data on postictal position and immobility, autonomic changes derived from electrocardiography/heart rate variability, electrodermal activity, respiration, and oxygen saturation. In this review, we summarize how these biosignals reflect seizure severity, and how they can be monitored in the ambulatory outpatient setting using wearable devices. Multimodal recording of these biosignals will provide valuable information for individual risk assessment, as well as insights into the mechanisms and prevention of sudden unexpected death in epilepsy.

Sider (fra-til)S61-S66
Antal sider6
StatusUdgivet - nov. 2020

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