COMPLEXITY-BASED ANALYSIS OF THE VARIATIONS OF THE BRAIN’S REACTIONS IN DIFFERENT TYPES OF LOCOMOTIONS

Najmeh Pakniyat, Norazryana Mat Dawi, Ondrej Krejcar, Robert Frischer and Hamidreza Namazi
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Najmeh Pakniyat: 30 Shore Breeze Drive, Toronto, ON, Canada M8V 0J1, Canada
Norazryana Mat Dawi: ��525 West 8th Avenue, Vancouver, BC, Canada V5Z 1C6, Canada
Ondrej Krejcar: ��Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, Rokitanskeho 62, 50003 Hradec Kralove III, Czech Republic§Institute of Technology and Business in Ceske Budejovice, Okruzni 517/10, 37001 Ceske Budejovice, Czech Republic¶Department of Biomedical Engineering and Measurement, Faculty of Mechanical Engineering, Technical University of Kosice, Letna 1/9, 04200 Kosice-Sever, Slovak Republic
Robert Frischer: �Institute of Technology and Business in Ceske Budejovice, Okruzni 517/10, 37001 Ceske Budejovice, Czech Republic
Hamidreza Namazi: ��Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, Rokitanskeho 62, 50003 Hradec Kralove III, Czech Republic∥School of Engineering, Monash University, Bandar Sunway, 47500 Subang Jaya, Selangor, Malaysia

FRACTALS (fractals), 2023, vol. 31, issue 03, 1-7

Abstract: In this research, we apply complexity-based techniques to study the activations of the brain while the subjects perform different types of locomotion, including walking, jogging, and running. Therefore, we can study the effect of locomotion speed (or toughness level) on brain’s reactions. For this purpose, we analyzed the fractal dimension and approximate entropy of electroencephalogram (EEG) signals recorded from subjects while they walked, jogged, and ran for 20 s in the case of each activity. The analysis of 21 recorded samples showed that the complexity of EEG signals increases by increasing the locomotion speed. This result indicates a higher level of processing in the brain while the subjects perform a harder task. This analysis can be extended to the case of other physiological signals to study the effect of the level of exercise on different organs’ activations.

Keywords: Brain; Locomotion; Fractal Dimension; Approximate Entropy; Complexity; Electroencephalogram (EEG) Signals (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1142/S0218348X23500317

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