Author(s)

V. Cabukovski, N. de M. Rudolf & N. Mahmood

Abstract

Measuring the fractal dimension of EEG signals: selection and adaptation of method for real-time analysis V. Cabukovski", N. de M. Rudolf & N. Mahmood& "Institute of Informatics, Faculty of Sciences, University of Skopje, P.O. Box 162, 91000 Skopje, Macedonia Department of Clinical Neurophysiology, Charing Cross Hospital, Charing Cross & Westminster Medical School, University of London, ABSTRACT In this paper we present our results in real-time EEG data analysis. We developed a real-time method for serial fractal dimension estimation of consecutive overlapping small epochs of the EEG signal; it is a modification of the Higuchi method [10] which gives a good approximation to the fractal dimension for a small number of points. Additional analysis for establishing the optimal epoch and overlapping segment sizes was also performed. 1. INTRODUCTION Fractals are mathematical sets with a high degree of geometrical complexity that can model many natural phen

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