ANALYSIS OF THE EFFECT OF VARIOUS MENTAL TASKS ON THE EEG SIGNALS’ COMPLEXITY

Najmeh Pakniyat, Ondrej Krejcar, Petra Maresova, Jamaluddin Abdullah and Hamidreza Namazi
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Najmeh Pakniyat: 30 Shore Breeze Drive, Toronto, ON, M8V 0J1, Canada
Ondrej Krejcar: ��Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czechia‡Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia Kuala Lumpur Jalan Sultan, Yahya Petra, Kuala Lumpur 54100, Malaysia
Petra Maresova: ��Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czechia‡Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia Kuala Lumpur Jalan Sultan, Yahya Petra, Kuala Lumpur 54100, Malaysia
Jamaluddin Abdullah: �School of Mechanical Engineering, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang, Malaysia
Hamidreza Namazi: ��Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czechia§School of Mechanical Engineering, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang, Malaysia

FRACTALS (fractals), 2024, vol. 32, issue 03, 1-7

Abstract: Analysis of the brain activity in different mental tasks is an important area of research. We used complexity-based analysis to study the changes in brain activity in four mental tasks: relaxation, Stroop color-word, mirror image recognition, and arithmetic tasks. We used fractal theory, sample entropy, and approximate entropy to analyze the changes in electroencephalogram (EEG) signals between different tasks. Our analysis showed that by moving from relaxation to the Stroop color-word, arithmetic, and mirror image recognition tasks, the complexity of EEG signals increases, respectively, reflecting rising brain activity between these conditions. Furthermore, only the fractal theory could decode the significant changes in brain activity between different conditions. Similar analyses can be done to decode the brain activity in case of other conditions.

Keywords: Mental Tasks; Complexity; EEG Signals; Fractal Theory; Sample Entropy; Approximate Entropy (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0218348X24500683

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