Detection of spectral instability in EEG recordings during the preictal period
Details
Serval ID
serval:BIB_93F440B4B925
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Detection of spectral instability in EEG recordings during the preictal period
Journal
Journal of Neural Engineering
ISSN
1741-2560
Publication state
Published
Issued date
09/2007
Peer-reviewed
Oui
Volume
4
Number
3
Pages
173-178
Language
english
Notes
Aksenova2007173
Abstract
The study of EEG recordings during the interval prior to an epileptic seizure onset-the preictal period-is likely to detect changes in the ongoing brain activity consistent with seizure anticipation. A novel index of spectral instability (ISpI) based on multiple abrupt changes of EEG spectral features is presented here. Based on the analysis of control records, robust M-estimates are used to calculate the threshold and avoid false warnings. The results obtained with a small data set (three patients, ten preictal records per patient) have shown that the ISpI index provided a warning flag that anticipated the seizure onset by 13.1 (SD = 4.0) min on average.
Keywords
Epileptic seizures, Synchronization changes, Scalp EEG, Prediction, Anticipation, Predictability, System
Web of science
Create date
23/08/2010 15:52
Last modification date
20/08/2019 14:56