Seizure prediction for epilepsy using a multi-stage phase synchrony based system.

TitleSeizure prediction for epilepsy using a multi-stage phase synchrony based system.
Publication TypeJournal Article
Year of Publication2009
AuthorsJames, CJ, Gupta, D
JournalConf Proc IEEE Eng Med Biol Soc
Volume2009
Pagination25-8
Date Published09/2009
ISSN1557-170X
KeywordsAlgorithms, Artificial Intelligence, Diagnosis, Computer-Assisted, Electroencephalography, Epilepsy, Humans, Pattern Recognition, Automated, Reproducibility of Results, Sensitivity and Specificity
Abstract

Seizure onset prediction in epilepsy is a challenge which is under investigation using many and varied signal processing techniques. Here we present a multi-stage phase synchrony based system that brings to bear the advantages of many techniques in each substage. The 1(st) stage of the system unmixes continuous long-term (2-4 days) multichannel scalp EEG using spatially constrained Independent Component Analysis and estimates the long term significant phase synchrony dynamics of narrowband (2-8 Hz and 8-14 Hz) seizure components. It then projects multidimensional features onto a 2-D map using Neuroscale and evaluates the probability of predictive events using Gaussian Mixture Models. We show the possibility of seizure onset prediction within a prediction window of 35-65 minutes with a sensitivity of 65-100% and specificity of 65-80% across epileptic patients.

URLhttp://www.ncbi.nlm.nih.gov/pubmed/19965104
DOI10.1109/IEMBS.2009.5334898
Alternate JournalConf Proc IEEE Eng Med Biol Soc
PubMed ID19965104
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