Higher Order Spectral (HOS) Analysis Of Epileptic EEG Signals

Chua, Kuang Chua, Chandran, Vinod, Acharya, Rajendra, & Lim, C. M. (2007) Higher Order Spectral (HOS) Analysis Of Epileptic EEG Signals. In 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007. (EMBS 2007), 22-26 August 2007, Lyon, France.

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Epilepsy is a neurological condition, which affects the nervous system. Automatic seizure detection is very important in clinical practice and has to be achieved by analyzing the electroencephalogram (EEG). Seizures are the clinical manifestations of excessive and hypersynchronous activity of the neurons in the cerebral cortex and represent one of the most frequent malfunctions of the human central nervous system. Therefore, the search for precursors and predictors of a seizure in the human EEG is of utmost clinical relevance and may even lead to a deeper understanding of the seizure generating mechanisms. In this paper, the normal, pre-ictal (background) and ictal (epileptic) EEG signals are studied using higher order spectra. HOS based measures are shown to be able to distinguish epileptic EEG from normal and background EEG with high confident level ( p-value of less than 0.05).

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ID Code: 14322
Item Type: Conference Paper
Refereed: Yes
Keywords: EEG, Epilepsy, bicoherence, bispectrum, electroencephalogram, entropy, seizure
DOI: 10.1109/IEMBS.2007.4353847
ISBN: 9781424407873
ISSN: 1557-170X
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > BIOMEDICAL ENGINEERING (090300) > Biomedical Engineering not elsewhere classified (090399)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2007 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 07 Aug 2008 00:00
Last Modified: 29 Feb 2012 13:32

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