Evaluation of Lower Limb Muscles Fatigue and Force during Running 400-Meters Using Learning Machine

Abstract:

The main goal of this research work is to study and evaluate the muscles force and fatigue of Gastrocnemius Medialis (GMS), Gluteus Maximus (GM), and Gastrocnemius Lateralis (GL) during running for 400-meters based on surface Electromyography (sEMG) signals. The sEMG signals of the selected muscles from the right leg have been collected by using bipolar electrodes from 15 subjects during the run on the tartan athletic track with two pacing strategies. The first strategy: 1^st 200-meters running 87% - 94% of full speed and last 200-meters sprinting (full speed). The second strategy: 1^st 300-meters running 87% - 94% of sprinting and last 100-meters sprinting. The rate of fatigue has been calculated by using Root Mean Square (RMS) and Median Frequency (MDF) features. Then, the slopes of linear regression were calculated from both RMS and MDF at each 100-meters. The linear slope values represented the rate of fatigue and force. From the results of 1^st and 2^nd running strategies, the force of GM and GL muscles increased during the 4^th 100-meters of the 1^st strategy and decreased with GM and GMS muscles during the 4^th 100-meters of the 2^nd strategy. The less index fatigues were during the 1^st strategy for most selected muscles. Finally, it can be concluded the running with the 1^st strategy get less fatigues and the force of most selected muscles increased compared with the 2^nd strategy based on the results of time and frequency domain features (RMS and MDF).

• Periodical: Journal of Biomimetics, Biomaterials and Biomedical Engineering (Volume 43)
• Pages: 39-53
• DOI: https://doi.org/10.4028/www.scientific.net/JBBBE.43.39
• Online since: November 2019
• Authors: Hayder A. Yousif*, Abdul Rahim Norasmadi, Ahmad Faizal Bin Salleh, Ammar Zakaria
• Keywords: 400-Meters Running Strategies, MDF, Muscles Fatigue, Muscles Force, RMS, SEMG

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