Forecasting Seizure Likelihood With Wearable Technology

Forecasting Seizure Likelihood With Wearable Technology

The unpredictability of epileptic seizures exposes people with epilepsy to potential physical harm, restricts day-to-day activities, and impacts mental well-being. Accurate seizure forecasters would reduce the uncertainty associated with seizures but need to be feasible and accessible in the long-te...

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Bibliographic Details
Main Authors: Rachel E. Stirling, David B. Grayden, Wendyl D'Souza, Mark J. Cook, Ewan Nurse, Dean R. Freestone, Daniel E. Payne, Benjamin H. Brinkmann, Tal Pal Attia, Pedro F. Viana, Mark P. Richardson, Philippa J. Karoly
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Neurology
Subjects:
seizure forecasting
cycles (cyclical)
seizure cycles
circadian rhythms
multiday rhythms
wearable sensors
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2021.704060/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2021.704060/full

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