INVESTIGATION OF THE EFFECT OF WALKING SPEED ON LEG MUSCLE REACTION BY COMPLEXITY-BASED ANALYSIS OF ELECTROMYOGRAM (EMG) SIGNALS

Hamidreza Namazi and Najmeh Pakniyat
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Hamidreza Namazi: Incubator of Kinanthropology Research, Faculty of Sports Studies, Masaryk University, Brno, Czech Republic†College of Engineering & Science, Victoria University, Melbourne, VIC 8001, Australia
Najmeh Pakniyat: ��30 Shore Breeze Drive, Toronto, ON, Canada M8V 0J1, Canada

FRACTALS (fractals), 2021, vol. 29, issue 07, 1-9

Abstract: An important research area in physiological and sport sciences is the analysis of the variations of the muscle reaction due to changes in walking speed. In this paper, we investigated the effect of walking speed variations on leg muscle reaction by the analysis of Electromyogram (EMG) signals at different walking inclines. For this purpose, we benefited from fractal theory and sample entropy to analyze how the complexity of EMG signals changes at different walking speeds. According to the results, although fractal theory could not show a clear trend between the variations of the complexity of EMG signals and the variations of the walking speed, however, based on the results, increasing the speed of walking in the case of different inclines is mapped on to the decrement of the sample entropy of EMG signals. Therefore, sample entropy could decode the effect of walking speed on the reaction of leg muscle. This analysis method could be applied to analyze the variations of other physiological signals of humans durin walking.

Keywords: Walking; Incline; Speed; EMG Signals; Complexity; Fractal Theory; Sample Entropy (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1142/S0218348X21502546

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