Statistical study of the EEG in motor tasks (real and imaginary)

F.M. Oliveira Filho, F.F. Ribeiro, J.A. Leyva Cruz, A.P. Nunes de Castro and G.F. Zebende

Physica A: Statistical Mechanics and its Applications, 2023, vol. 622, issue C

Abstract: EEG is one of the techniques more used to assess the extent of damage from these deficiencies and even to find solutions such as rehabilitation or limb replacement using a bionic prosthesis, through brain-computer interface. That is why it is of vital importance that we understand the functioning of the primary motor cortex of the brain in the control of real/imaginary tasks. From Physionet database, with two-minute EEG recordings in three different experiments (real/imaginary), we applied DFA and DCCA methods to find auto-correlations and cross-correlations. DFA method was capable of quantitatively describing similarities when the brain performs the same motor task, and show there are three time-scales. After, in order to compare the fluctuation amplitude of an EEG signal in relation to the other channels and measure these cross-correlations, we applied ΔlogFDFA function and ρDCCA coefficient. Thus, choosing the F3 channel (front) as the reference, we identified generally that: ΔlogFDFA[F3:xx]≥0 and ρDCCA>0. The channels: Cz, F6, T9, and T10, are those that have a higher level of DCCA cross-correlation, if compared to the channel F3. The time scale II, with 16Keywords: DFA; DCCA cross-correlation coefficient; EEG; Motor/imaginary human tasks (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:622:y:2023:i:c:s0378437123003576

DOI: 10.1016/j.physa.2023.128802

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