FRACTAL ANALYSIS FOR ASSESSMENT OF COMPLEXITY OF ELECTROENCEPHALOGRAPHY SIGNAL DUE TO AUDIO STIMULI
Abstract
Author(s): Archi Banerjee*, Shankha Sanyal, Ranjan Sen Gupta and Dipak Ghosh
Fractal technique has been applied to assess change of brain state when subjected to audio stimuli (in this case a simple music – drone). The Electroencephalography (EEG) time series has been used to perform this study and the corresponding non-linear waveform of EEG was analyzed with the widely used DFA technique. The investigation clearly indicates that FD which is a very sensitive parameter is capable of distinguishing brain state even with an acoustic signal of simple musical structure. Other implications of the results are discussed in detail. Keywords: Acoustic stimuli, drone, EEG, Brain states, Non-linear analysis, DFA, Fractal dimension
