ANALYSIS OF THE CORRELATION BETWEEN MUSCLE REACTION AND STRIDE INTERVAL VARIABILITY IN SINGLE-TASK AND DUAL-TASK WALKING

Norazryana Mat Dawi, Balamurali Ramakrishnan, Filip Maly, Kamil Kuca and Hamidreza Namazi
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Norazryana Mat Dawi: Sunway University Business School, Sunway University, No. 5, Jalan Universiti, Bandar Sunway, 47500 Selangor Darul Ehsan, Malaysia
Balamurali Ramakrishnan: ��Centre for Materials Research, Chennai Institute of Technology, Kundrathur, Chennai 600069, Tamil Nadu, India
Filip Maly: ��Faculty of Informatics and Management, University of Hradec Kralove, Rokitanského 62, 500 03 Hradec Kralove III, Czech Republic
Kamil Kuca: �Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, Rokitanského 62, 500 03 Hradec Kralove III, Czech Republic
Hamidreza Namazi: �Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, Rokitanského 62, 500 03 Hradec Kralove III, Czech Republic¶College of Engineering & Science, Victoria University, P. O. Box 14428, Melbourne, VIC 8001, Australia

FRACTALS (fractals), 2021, vol. 29, issue 07, 1-10

Abstract: Analysis of leg muscle activation and gait variability during locomotion is an important area of research in physiological and sport sciences. In this paper, we analyzed the coupling between the alterations of leg muscle activation and gait variability in single-task and dual-task walking. Since leg muscle activation in the form of electromyogram (EMG) signals and gait variability in the form of stride interval time series have complex structures, fractal theory and approximate entropy were used to evaluate their correlation at various walking conditions. Sixty subjects walked at their preferred speed for 10 min under the single-task condition and for 90s under the cognitive dual-task condition, and we evaluated the variations of the fractal dimension and approximate entropy of EMG signals and stride interval time series. According to the results, dual-task walking caused reductions in the complexity of EMG signals and stride interval time series than single-task walking. This technique can be used to evaluate the correlation between other organs during different locomotion.

Keywords: Muscle Activation; Gait Variability; Walking; Complexity; Fractal Theory; Approximate Entropy (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:fracta:v:29:y:2021:i:07:n:s0218348x21502728

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DOI: 10.1142/S0218348X21502728

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