Higher Order Spectral (HOS) Analysis Of Epileptic EEG Signals

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 ne...

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Bibliographic Details
Published in:2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2007-01, p.6495-6498
Main Authors: Chua, K.C., Chandran, V., Acharya, R., Lim, C.M.
Format: Article
Language:English
Subjects:
Analysis of variance
bicoherence
bispectrum
EEG
electroencephalogram
Electroencephalography
Entropy
Epilepsy
Event detection
Humans
Neurons
seizure
Signal analysis
Signal processing
Spectral analysis
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Summary: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).
ISSN:1094-687X
1558-4615
DOI:10.1109/IEMBS.2007.4353847