Discrimination between ictal and seizure-free EEG signals using empirical mode decomposition

Authors:
Ram Bilas Pachori
Affiliations:
Communication Research Centre, International Institute of Information Technology, Hyderabad, India
Venue:
Research Letters in Signal Processing
Year:
2008

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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.