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Higher Order Spectral (HOS) Analysis Of Epileptic EEG Signals
- Source :
- 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
- Publication Year :
- 2007
- Publisher :
- IEEE, 2007.
-
Abstract
- 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).
- Subjects :
- Nervous system
seizure
Central nervous system
Electroencephalography
EEG-fMRI
Epilepsy
090399 Biomedical Engineering not elsewhere classified
090609 Signal Processing
medicine
Humans
Ictal
EEG
080109 Pattern Recognition and Data Mining
Bicoherence
Analysis of Variance
medicine.diagnostic_test
electroencephalogram
Neurophysiology
medicine.disease
bispectrum
medicine.anatomical_structure
bicoherence
entropy
Psychology
Neuroscience
Subjects
Details
- ISSN :
- 1557170X
- Database :
- OpenAIRE
- Journal :
- 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
- Accession number :
- edsair.doi.dedup.....77d6a3e3e1b3c7e273e28e1b4634ee84