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Biomarkers of seizure severity derived from wearable devices
Author(s) -
Beniczky Sándor,
Arbune Anca A.,
Jeppesen Jesper,
Ryvlin Philippe
Publication year - 2020
Publication title -
epilepsia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.687
H-Index - 191
eISSN - 1528-1167
pISSN - 0013-9580
DOI - 10.1111/epi.16492
Subject(s) - epilepsy , wearable computer , medicine , ambulatory , heart rate variability , electroencephalography , wearable technology , physical medicine and rehabilitation , heart rate , computer science , psychiatry , blood pressure , embedded system
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.