%K Biomedical signal processing; Brain; Decision making; Electroencephalography; Electrophysiology; Extraction; Feature extraction; Object recognition; Pattern matching; Power spectral density, Brain activity; Brain regions; Cognitive task; Condition; Employing electroencephalography signal; Fast fourier transform; Features extraction; Frontal regions; Pattern-matching; Reasoning tasks, Fast Fourier transforms
%X In this study, cortical brain activity during a pattern matching task (PMT) was measured by employing electroencephalography (EEG). The EEG data were recorded from 128 scalp locations during a pattern-matching task and in rest conditions (eyes open and eyes closed). Spectral Analysis of EEG frequency bands reflected a significant (p<0.025) difference between baseline and PMT task. The EEG activity in slow waves (delta: 0.5 to 3 Hz and theta: 4 to 7 Hz) was high during PMT in frontal regions, while EEG activity in fast waves (Beta: 14 to 20 Hz and Gamma: 21 to 30 Hz) was reduced in parietal and occipital regions as compared to the frontal region. The changes in EEG medium waves (alpha: 8 to 13 Hz) was high in frontal, central, and temporal regions, while depressed in parietal, parieto-occipital and occipital regions. The results show high cortical activations in different brain regions during solving pattern-matching task as compared to baseline resting conditions. The study has implications for thinking and decision-making situation, such as object recognition, visual comparison, and consumer choice. © 2022 IEEE.
%L scholars17460
%J 2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation, ROMA 2022
%O cited By 0; Conference of 5th IEEE International Symposium in Robotics and Manufacturing Automation, ROMA 2022 ; Conference Date: 6 August 0202 Through 8 August 0202; Conference Code:183507
%R 10.1109/ROMA55875.2022.9915664
%D 2022
%I Institute of Electrical and Electronics Engineers Inc.
%A H.U. Amin
%A Y. Hafeez
%A M.F. Reza
%A S.H. Adil
%A R.A. Hasan
%A S.S.A. Ali
%T EEG Feature Extraction with Fast Fourier Transform for Investigating different Brain regions in Cognitive and Reasoning Activity