Online Prediction of Lead Seizures from iEEG Data

Online Prediction of Lead Seizures from iEEG Data

We describe a novel system for online prediction of lead seizures from long-term intracranial electroencephalogram (iEEG) recordings for canines with naturally occurring epilepsy. This study adopts new specification of lead seizures, reflecting strong clustering of seizures in observed data. This cl...

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Bibliographic Details
Main Authors: Hsiang-Han Chen, Han-Tai Shiao, Vladimir Cherkassky
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Brain Sciences
Subjects:
iEEG
non-stationarity
lead seizure
seizure prediction
support vector machines
unbalanced classification
Online Access:https://www.mdpi.com/2076-3425/11/12/1554

Internet

https://www.mdpi.com/2076-3425/11/12/1554

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