Autonomic nervous system changes detected with peripheral sensors in the setting of epileptic seizures.
Adolescent
Autonomic Nervous System
/ physiopathology
Child
Child, Preschool
Cohort Studies
Electroencephalography
/ instrumentation
Female
Heart Rate
Humans
Infant
Male
Models, Statistical
Monitoring, Ambulatory
/ instrumentation
Peripheral Nervous System
/ physiopathology
ROC Curve
Seizures
/ physiopathology
Sensitivity and Specificity
Skin
/ pathology
Temperature
Video Recording
Wearable Electronic Devices
Young Adult
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
14 07 2020
14 07 2020
Historique:
received:
06
02
2020
accepted:
15
06
2020
entrez:
16
7
2020
pubmed:
16
7
2020
medline:
23
1
2021
Statut:
epublish
Résumé
A better understanding of the early detection of seizures is highly desirable as identification of an impending seizure may afford improved treatments, such as antiepileptic drug chronotherapy, or timely warning to patients. While epileptic seizures are known to often manifest also with autonomic nervous system (ANS) changes, it is not clear whether ANS markers, if recorded from a wearable device, are also informative about an impending seizure with statistically significant sensitivity and specificity. Using statistical testing with seizure surrogate data and a unique dataset of continuously recorded multi-day wristband data including electrodermal activity (EDA), temperature (TEMP) and heart rate (HR) from 66 people with epilepsy (9.9 ± 5.8 years; 27 females; 161 seizures) we investigated differences between inter- and preictal periods in terms of mean, variance, and entropy of these signals. We found that signal mean and variance do not differentiate between inter- and preictal periods in a statistically meaningful way. EDA signal entropy was found to be increased prior to seizures in a small subset of patients. Findings may provide novel insights into the pathophysiology of epileptic seizures with respect to ANS function, and, while further validation and investigation of potential causes of the observed changes are needed, indicate that epilepsy-related state changes may be detectable using peripheral wearable devices. Detection of such changes with wearable devices may be more feasible for everyday monitoring than utilizing an electroencephalogram.
Identifiants
pubmed: 32665704
doi: 10.1038/s41598-020-68434-z
pii: 10.1038/s41598-020-68434-z
pmc: PMC7360606
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
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