Recognition of mental task with the analysis of long-range temporal correlations on EEG brain oscillation

The aim of this work is to explore the presence of LongRange Temporal Correlation (LRTC) and scaling the behavior in the brain signal EEG and its brain bands, while the subjects were developing different mental tasks. The statistic differences between the mental tasks will be studied and analyzed. The LRTC was calculated on the EEG signal and its brain bands with a Detrended Fluctuation Analysis (DFA) and the Wilcoxon signed-rank test that were applied for analyzing the statistical difference for each mental task. The EEG signals and the Theta Band reported the presence of long-range power-law correlations and scaling behavior. The Delta Band reported the presence of long-range correlations; however, this one approached the smoothness of the Brownian noise. Our results reported significant differences (p<; 0.05) in 7 out of 10 pair of mental tasks. The presence of (LRTC) and scaling behavior in the Delta and Theta band are reported. DFA has also shown to be a useful tool for discriminating mental tasks.