Automatic Identification of Epilepsy by HOS and Power Spectrum parameters using EEG Signals: A comparative study

Chua, Kuang Chua, Chandran, Vinod, Acharya, Rajendra, & Lim, Choo Min (2008) Automatic Identification of Epilepsy by HOS and Power Spectrum parameters using EEG Signals: A comparative study. In 30th Annual International IEEE EMBS Conference, August 20-24, 2008, Vancouver, Canada.


Epilepsy is characterized by the spontaneous and unforeseeable occurrence of seizures, during which the perception or behavior of patients is disturbed. An automatic system that detects seizure onsets would allow patients or the people near them to take appropriate precautions, and could provide more insight into these phenomena. The use of nonlinear features motivated by the higher order spectra (HOS) had been reported to be a promising approach to differentiate between normal, background (pre-ictal) and epileptic EEG signals. In this work, the features are extracted from the power spectrum and the bispectrum. Their performance is studied by feeding them to a Gaussian mixture model (GMM) classifier. Results show that with selected HOS based features, we were able to achieve 93.11% compared to classification accuracy of 88.78% as that of features derived from PSD.

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ID Code: 14787
Item Type: Conference Paper
Refereed: No
Additional URLs:
Keywords: EEG, epilepsy, pre, ictal, entropy, bispectrum, power spectrum, GMM, ROC
ISBN: 9781424418152
ISSN: 1557-170X
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > BIOMEDICAL ENGINEERING (090300)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyrights 2008 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: 08 Sep 2008 00:00
Last Modified: 29 Feb 2012 13:41

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