EEG Feature Extraction with Fast Fourier Transform for Investigating different Brain regions in Cognitive and Reasoning Activity

HAFEEZ ULLAH AMIN, Yasir Hafeez, Mohammed Faruque Reza, Syed Hasan Adil, Rumaisa Abu Hasan, Syed Saad Azhar Ali

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation, ROMA 2022
Subtitle of host publicationMalacca, Malaysia 6-8 Aug 2022
PublisherIEEE
Pages1-4
Volume1
ISBN (Electronic)9781665459327
ISBN (Print)9781665459334
DOIs
Publication statusPublished - 14 Oct 2022

Publication series

Name2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation, ROMA 2022

Keywords

  • Cognitive and Reasoning Task
  • EEG Signals
  • Fast Fourier Transform (FFT)
  • Feature Extraction
  • Power Spectral Density

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