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Research Letters in Signal Processing
Volume 2008 (2008), Article ID 293056, 5 pages
http://dx.doi.org/10.1155/2008/293056
Research Letter

Discrimination between Ictal and Seizure-Free EEG Signals Using Empirical Mode Decomposition

Communication Research Centre, International Institute of Information Technology, Hyderabad 500032, India

Received 18 October 2008; Accepted 15 December 2008

Academic Editor: Jiri Jan

Copyright © 2008 Ram Bilas Pachori. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A new method for analysis of electroencephalogram (EEG) signals using empirical mode decomposition (EMD) and Fourier-Bessel (FB) expansion has been presented in this paper. The EMD decomposes an EEG signal into a finite set of band-limited signals termed intrinsic mode functions (IMFs). The mean frequency (MF) for each IMF has been computed using FB expansion. The MF measure of the IMFs has been used as a feature in order to identify the difference between ictal and seizure-free intracranial EEG signals. It has been shown that the MF feature of the IMFs has provided statistically significant difference between ictal and seizure-free EEG signals. Simulation results are included to illustrate the effectiveness of the proposed method.