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Volume 8
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Proceeding Paper

The Influence of Lower Limb Muscle Selection on Synergy Analysis during Running †

by
Yaru Chen
1,
Wenqian Chen
1,
Yongxuan Wang
2,
Hailong Liu
1,
Xiaohong Wang
3 and
Rong Liu
1,*
1
Liaoning Key Laboratory of IC & BME System, School of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China
2
School of Information Engineering, Dalian University, Dalian 116622, China
3
Department of Neurology, Dalian Municipal Central Hospital, Dalian 116024, China
*
Author to whom correspondence should be addressed.
†
Presented at the 2023 Summit of the International Society for the Study of Information (IS4SI 2023), Beijing, China, 14–16 August 2023.
Comput. Sci. Math. Forum 2023, 8(1), 50; https://doi.org/10.3390/cmsf2023008050
Published: 15 August 2023
(This article belongs to the Proceedings of 2023 International Summit on the Study of Information)
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Abstract

Muscle synergies have emerged as a novel framework that offers a deeper understanding of the physiological basis of motor control and have been extensively applied in various fields. This study aims to investigate muscle synergies, involving the selection of the muscles of the lower limb while running, including the deep muscles. The muscle synergies were identified from the 23 muscle activations generated by the OpenSim simulation and experimented EMG, respectively, and these outcomes were compared. Our results revealed an additional synergy required to achieve a comparable variability accounting for (VAF) levels when considering 23 muscles compared to 10 muscles. This study highlights that the potential contribution of deep muscles to explaining the muscle synergies involved in running. These findings provide valuable insights for a comprehensive understanding of muscle synergy during running and the neuromotor control of human locomotion. Further optimization of the experimental protocols and extraction methods is necessary to enhance the results of muscle synergy analyses and promote their broader application across various fields in the future.
Keywords: muscle synergies; electromyography; musculoskeletal simulation; OpenSim muscle synergies; electromyography; musculoskeletal simulation; OpenSim

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MDPI and ACS Style

Chen, Y.; Chen, W.; Wang, Y.; Liu, H.; Wang, X.; Liu, R. The Influence of Lower Limb Muscle Selection on Synergy Analysis during Running. Comput. Sci. Math. Forum 2023, 8, 50. https://doi.org/10.3390/cmsf2023008050

AMA Style

Chen Y, Chen W, Wang Y, Liu H, Wang X, Liu R. The Influence of Lower Limb Muscle Selection on Synergy Analysis during Running. Computer Sciences & Mathematics Forum. 2023; 8(1):50. https://doi.org/10.3390/cmsf2023008050

Chicago/Turabian Style

Chen, Yaru, Wenqian Chen, Yongxuan Wang, Hailong Liu, Xiaohong Wang, and Rong Liu. 2023. "The Influence of Lower Limb Muscle Selection on Synergy Analysis during Running" Computer Sciences & Mathematics Forum 8, no. 1: 50. https://doi.org/10.3390/cmsf2023008050

APA Style

Chen, Y., Chen, W., Wang, Y., Liu, H., Wang, X., & Liu, R. (2023). The Influence of Lower Limb Muscle Selection on Synergy Analysis during Running. Computer Sciences & Mathematics Forum, 8(1), 50. https://doi.org/10.3390/cmsf2023008050

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