Comparative study of parameters of Multifractal Detrended Fluctuation Analysis on EEG bands

Abstract

In this work, we have studied the EEG signals of different persons under same protocol. The aim of the article is to perform a non-linear analysis of the signal to get a pattern due to similar brain activity. The signals' long scaling behaviour is studied by Multifractal Detrended Fluctuation Analysis (MFDFA). Five bands namely, Delta, Theta, Alpha, Beta, Gamma, are first segregated before fractal analysis and results are compiled for each bands on the parameters - spectrum width, skewness and maxima of the multifactral spectra and the generalized Hurst's exponent.