Muscle synergies in joystick manipulation

被引:40
作者
Cai, Liming [1 ,2 ]
Yan, Shuhao [2 ,3 ]
Ouyang, Chuanyun [2 ,3 ]
Zhang, Tianxiang [2 ,3 ]
Zhu, Jun [1 ]
Chen, Li [1 ,4 ]
Ma, Xin [1 ,4 ]
Liu, Hui [5 ]
机构
[1] Fudan Univ, Acad Engn & Technol, Shanghai, Peoples R China
[2] Chinese Acad Sci, Suzhou Inst Biomed Engn & Technol, Suzhou, Peoples R China
[3] Univ Sci & Technol China, Sch Biomed Engn Suzhou, Div Life Sci & Med, Suzhou, Peoples R China
[4] Fudan Univ, Huashan Hosp, Dept Orthoped, Shanghai, Peoples R China
[5] Univ Bremen, Cognit Syst Lab, Bremen, Germany
关键词
muscle synergy extraction; muscle synergy similarity; joystick manipulation; maneuvering; electromyography; EMG; POSTURAL RESPONSES; PATTERNS; HAND; MODULES; ARM;
D O I
10.3389/fphys.2023.1282295
中图分类号
Q4 [生理学];
学科分类号
071003 ;
摘要
Extracting muscle synergies from surface electromyographic signals (sEMGs) during exercises has been widely applied to evaluate motor control strategies. This study explores the relationship between upper-limb muscle synergies and the performance of joystick manipulation tasks. Seventy-seven subjects, divided into three classes according to their maneuvering experience, were recruited to perform the left and right reciprocation of the joystick. Based on the motion encoder data, their manipulation performance was evaluated by the mean error, standard deviation, and extreme range of position of the joystick. Meanwhile, sEMG and acceleration signals from the upper limbs corresponding to the entire trial were collected. Muscle synergies were extracted from each subject's sEMG data by non-negative matrix factorization (NMF), based on which the synergy coordination index (SCI), which indicates the size of the synergy space and the variability of the center of activity (CoA), evaluated the temporal activation variability. The synergy pattern space and CoA of all participants were calculated within each class to analyze the correlation between the variability of muscle synergies and the manipulation performance metrics. The correlation level of each class was further compared. The experimental results evidenced a positive correlation between manipulation performance and maneuvering experience. Similar muscle synergy patterns were reflected between the three classes and the structure of the muscle synergies showed stability. In the class of rich maneuvering experience, the correlation between manipulation performance metrics and muscle synergy is more significant than in the classes of trainees and newbies, suggesting that long-term training and practicing can improve manipulation performance, stability of synergy compositions, and temporal activation variability but not alter the structure of muscle synergies determined by a specific task. Our approaches and findings could be applied to 1) reduce manipulation errors, 2) assist maneuvering training and evaluation to enhance transportation safety, and 3) design technical support for sports.
引用
收藏
页数:14
相关论文
共 51 条
[1]   Muscle Synergies Indices to Quantify the Skilled Behavior in Human [J].
Alnajjar, Fady ;
Shimoda, Shingo .
CONVERGING CLINICAL AND ENGINEERING RESEARCH ON NEUROREHABILITATION II, VOLS 1 AND 2, 2017, 15 :959-963
[2]   Muscle synergy space: learning model to create an optimal muscle synergy [J].
Alnajjar, Fady ;
Wojtara, Tytus ;
Kimura, Hidenori ;
Shimoda, Shingo .
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2013, 7
[3]   Modulations of Muscle Modes in Automatic Postural Responses Induced by External Surface Translations [J].
Asaka, Tadayoshi ;
Yahata, Kentaro ;
Mani, Hiroki ;
Wang, Yun .
JOURNAL OF MOTOR BEHAVIOR, 2011, 43 (02) :165-172
[4]  
Barnamehei H, 2018, 2018 25TH IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING AND 2018 3RD INTERNATIONAL IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING (ICBME), P54
[5]   Upper Limb Neuromuscular Activities and Synergies Comparison between Elite and Nonelite Athletics in Badminton Overhead Forehand Smash [J].
Barnamehei, Hamidreza ;
Ghomsheh, Farhad Tabatabai ;
Cherati, Afsaneh Safar ;
Pouladian, Majid .
APPLIED BIONICS AND BIOMECHANICS, 2018, 2018
[6]  
Bezerra T. A. R., 2019, Revitalization of the force simulator and adequacy of joystick loads compatible with toucan t-27 and super toucan at-29 aircraft
[7]   Combining modules for movement [J].
Bizzi, E. ;
Cheung, V. C. K. ;
d'Avella, A. ;
Saltiel, P. ;
Tresch, M. .
BRAIN RESEARCH REVIEWS, 2008, 57 (01) :125-133
[8]   The neural origin of muscle synergies [J].
Bizzi, Emilio ;
Cheung, Vincent C. K. .
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2013, 7 :1-6
[9]   The central nervous system stabilizes unstable dynamics by learning optimal impedance [J].
Burdet, E ;
Osu, R ;
Franklin, DW ;
Milner, TE ;
Kawato, M .
NATURE, 2001, 414 (6862) :446-449
[10]   How Many Muscles? Optimal Muscles Set Search for Optimizing Myocontrol Performance [J].
Camardella, Cristian ;
Junata, Melisa ;
Tse, King Chun ;
Frisoli, Antonio ;
Tong, Raymond Kai-Yu .
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2021, 15