The Influence of Lower Limb Muscle Selection on Synergy Analysis during Running
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 runni...
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MDPI AG
2023-08-01
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| author | Yaru Chen Wenqian Chen Yongxuan Wang Hailong Liu Xiaohong Wang Rong Liu |
| author_facet | Yaru Chen Wenqian Chen Yongxuan Wang Hailong Liu Xiaohong Wang Rong Liu |
| author_sort | Yaru Chen |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-763be4c7bd404d1d80d1f785463aa87a |
| institution | OA Journals |
| issn | 2813-0324 |
| language | English |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computer Sciences & Mathematics Forum |
| spelling | doaj-art-763be4c7bd404d1d80d1f785463aa87a2025-08-20T02:11:22ZengMDPI AGComputer Sciences & Mathematics Forum2813-03242023-08-01815010.3390/cmsf2023008050The Influence of Lower Limb Muscle Selection on Synergy Analysis during RunningYaru Chen0Wenqian Chen1Yongxuan Wang2Hailong Liu3Xiaohong Wang4Rong Liu5Liaoning Key Laboratory of IC & BME System, School of Biomedical Engineering, Dalian University of Technology, Dalian 116024, ChinaLiaoning Key Laboratory of IC & BME System, School of Biomedical Engineering, Dalian University of Technology, Dalian 116024, ChinaSchool of Information Engineering, Dalian University, Dalian 116622, ChinaLiaoning Key Laboratory of IC & BME System, School of Biomedical Engineering, Dalian University of Technology, Dalian 116024, ChinaDepartment of Neurology, Dalian Municipal Central Hospital, Dalian 116024, ChinaLiaoning Key Laboratory of IC & BME System, School of Biomedical Engineering, Dalian University of Technology, Dalian 116024, ChinaMuscle 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.https://www.mdpi.com/2813-0324/8/1/50muscle synergieselectromyographymusculoskeletal simulationOpenSim |
| spellingShingle | Yaru Chen Wenqian Chen Yongxuan Wang Hailong Liu Xiaohong Wang Rong Liu The Influence of Lower Limb Muscle Selection on Synergy Analysis during Running Computer Sciences & Mathematics Forum muscle synergies electromyography musculoskeletal simulation OpenSim |
| title | The Influence of Lower Limb Muscle Selection on Synergy Analysis during Running |
| title_full | The Influence of Lower Limb Muscle Selection on Synergy Analysis during Running |
| title_fullStr | The Influence of Lower Limb Muscle Selection on Synergy Analysis during Running |
| title_full_unstemmed | The Influence of Lower Limb Muscle Selection on Synergy Analysis during Running |
| title_short | The Influence of Lower Limb Muscle Selection on Synergy Analysis during Running |
| title_sort | influence of lower limb muscle selection on synergy analysis during running |
| topic | muscle synergies electromyography musculoskeletal simulation OpenSim |
| url | https://www.mdpi.com/2813-0324/8/1/50 |
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