Gupta, D., James, C. J. and Gray, W. P. (2008) Phase synchronization with ICA for epileptic seizure onset prediction in the long term EEG. In: 4th IET International Conference on Advances in Medical, Signal and Information Processing (MEDSIP), Santa Margherita Ligure, Italy, Jul 14-16, 2008. Published in: Proceedings of the 4th IET International Conference on Advances in Medical, Signal and Information Processing (MEDSIP) pp. 176-179.

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Abstract

The apparently unpredictable nature of epileptic seizures can be devastating for people with epilepsy. Current medical interventions can help 75% of patients while 25% have to live with uncontrolled seizures. This motivates the search for a seizure prediction prototype using electroencephalograms (electrical signals that capture brain activity). The concept of phase synchrony has attracted much attention recently in the context of seizure prediction but is still in need of further study. The basis of our analysis is to track changes in synchrony in brain signals at and before seizure onset. The novel concept in our analysis is the use of unmixed signals as opposed to scalp EEG signals for phase synchrony analysis. The unmixing is performed by a Blind Source Separation technique called Independent component Analysis (ICA). ICA seeks underlying independent source signals from the EEG and it allows multivariate analysis using spatial as well as temporal information inherent to EEG signals. The present study on long-term continuous EEG data sets indicates that the concept of using phase synchronization with ICA may prove useful for predicting seizures.

Item Type:	Conference Item (Paper)
Subjects:	R Medicine > R Medicine (General) R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title:	Proceedings of the 4th IET International Conference on Advances in Medical, Signal and Information Processing (MEDSIP)
Publisher:	Institute of Engineering and Technology
ISSN:	0537-9989, ISBN: 978-0-86341-934-8
Date:	2008
Page Range:	pp. 176-179
Identification Number:	10.1049/cp:20080427
Status:	Not Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Funder:	Life Sciences Interface, University of Southampton (LSI), Institute of Sound and Vibration Research, University of Southampton (ISVR)
Conference Paper Type:	Paper
Title of Event:	4th IET International Conference on Advances in Medical, Signal and Information Processing (MEDSIP)
Type of Event:	Conference
Location of Event:	Santa Margherita Ligure, Italy
Date(s) of Event:	Jul 14-16, 2008
URI:	http://wrap.warwick.ac.uk/id/eprint/47184

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