ArticleOpen Access

COMPLEXITY-BASED ANALYSIS OF MUSCLE ACTIVATION DURING WALKING AT DIFFERENT SPEEDS

Centre for Computational Modelling, Chennai Institute of Technology, Tamil Nadu, India

Centre for Nonlinear Systems, Chennai Institute of Technology, Tamil Nadu, India

Department of Electronics and Communications Engineering, University Centre for Research & Development, Chandigarh University, Mohali 140413, Punjab, India

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ONDREJ KREJCAR

Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, 50003 Hradec Kralove, Czechia

Institute of Technology and Business in Ceske Budejovice, Ceske Budejovice, Czechia

Department of Biomedical Engineering and Measurement, Faculty of Mechanical Engineering, Technical University of Kosice, Slovakia

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ROBERT FRISCHER

Institute of Technology and Business in Ceske Budejovice, Ceske Budejovice, Czechia

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, and

HAMIDREZA NAMAZI

https://orcid.org/0000-0001-7178-455X

Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, 50003 Hradec Kralove, Czechia

School of Engineering, Monash University, Selangor, Malaysia

E-mail Address: hrn_mechanic@yahoo.com

Corresponding author.

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https://doi.org/10.1142/S0218348X23500329Cited by:10 (Source: Crossref)

Abstract

In this research, we investigated the effect of changes in walking speed on variations of the complexity of electromyogram (EMG) signals recorded from the right and left legs of subjects. We specifically employed fractal theory and approximate entropy to analyze the changes in the complexity of EMG signals recorded from 13 subjects walked at 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, and 4.0 km/h on a flat surface. The results showed that by increasing of walking speed, the complexity of EMG signals decreases. The statistical analysis also indicated the significant effect of variations in walking speed on the variations of the complexity of EMG signals. This method analysis can be applied to other physiological signals of humans (e.g. electroencephalogram (EEG) signals) to investigate the effect of walking speed on other organs’ activations (e.g. brain).

Keywords:

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Vol. 31, No. 03

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Received 15 November 2022

Accepted 24 February 2023

Published: April 15, 2023

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This is an Open Access article published by World Scientific Publishing Company. It is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 (CC BY-NC-ND) License which permits use, distribution and reproduction, provided that the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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COMPLEXITY-BASED ANALYSIS OF MUSCLE ACTIVATION DURING WALKING AT DIFFERENT SPEEDS

Abstract

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