Associating Endpoint Accuracy and Similarity of Muscle Synergies

Liming Cai, Liming Cai, Shuhao Yan, Shuhao Yan, Chuanyun Ouyang, Chuanyun Ouyang, Tianxiang Zhang, Tianxiang Zhang, Jun Zhu, Li Chen, Li Chen, Hui Liu

2024

Abstract

Recently, Extracting the muscle synergy from surface electromyographic (sEMG) signals has become a standard method for evaluating motor control strategies during exercise. The synergy of the upper extremity in various stretch and reach tasks has been described in many studies, but few of them have analyzed the relationship between task performance and muscle synergy. This study provides an experimental device and analysis method for muscle coordination in the joystick task for the specific action of the pilots’ joystick manipulation. Eight healthy subjects performed the joystick manipulation. For upper limbs, the task content included isotonic tasks with three load levels and recorded ten muscles’ EMG and acceleration information. The muscle synergy effect was extracted and the correlation between muscle synergy similarity and manipulation performance and interaction load was studied. The experiment data showed that the manipulation performance varied under different loading conditions, but did not show significant changes in synergistic muscle structure. We found significant correlations between the similarity of some synergistic muscle structures and manipulation performance. However, between single-action performance and the average of their likeness, there was no strong correlation. Through the analysis of muscle synergy, we can determine that there is a fixed muscle synergy pattern during rocker manipulation, of which the structure is independent of the rocker load level, and muscle synergy similarity was negatively correlated with manipulation performance. The results of this study help improve the ergonomics of the flight stick and propose targeted muscle training methods to improve the precision of flight maneuvering.

Paper Citation

in Harvard Style

Cai L., Yan S., Ouyang C., Zhang T., Zhu J., Chen L. and Liu H. (2024). Associating Endpoint Accuracy and Similarity of Muscle Synergies. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOSIGNALS; ISBN 978-989-758-688-0, SciTePress, pages 683-694. DOI: 10.5220/0012586800003657

in Bibtex Style

@conference{biosignals24,
author={Liming Cai and Shuhao Yan and Chuanyun Ouyang and Tianxiang Zhang and Jun Zhu and Li Chen and Hui Liu},
title={Associating Endpoint Accuracy and Similarity of Muscle Synergies},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOSIGNALS},
year={2024},
pages={683-694},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012586800003657},
isbn={978-989-758-688-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOSIGNALS
TI - Associating Endpoint Accuracy and Similarity of Muscle Synergies
SN - 978-989-758-688-0
AU - Cai L.
AU - Yan S.
AU - Ouyang C.
AU - Zhang T.
AU - Zhu J.
AU - Chen L.
AU - Liu H.
PY - 2024
SP - 683
EP - 694
DO - 10.5220/0012586800003657
PB - SciTePress