A Perspective on Muscle Synergies and Different Theories Related to Their Adaptation

被引:6
|
作者
Abd, Ashar Turky [1 ]
Singh, Rajat Emanuel [2 ]
Iqbal, Kamran [1 ]
White, Gannon [3 ]
机构
[1] Univ Arkansas Little Rock, Dept Syst Engn, Little Rock, AR 72204 USA
[2] Northwestern Coll, Dept Kinesiol, Orange City, IA 51041 USA
[3] Colorado Mesa Univ, Dept Kinesiol, Grand Junction, CO 81501 USA
来源
BIOMECHANICS | 2021年 / 1卷 / 02期
关键词
central nervous system (CNS); muscle synergy; electromyographic signals (EMG); non-negative matrix factorization algorithm (NNMF); principal component analysis (PCA); INTERNAL-MODELS; MODULAR CONTROL; MOTOR CONTROL; PRIMITIVES; ACTIVATION; COMPLEXITY; GAIT;
D O I
10.3390/biomechanics1020021
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
The human motor system is a complex neuro-musculo sensory system that needs further investigations of neuro-muscular commands and sensory-motor coupling to decode movement execution. Some researchers suggest that the central nervous system (CNS) activates a small set of modules termed muscle synergies to simplify motor control. Further, these modules form functional building blocks of movement as they can explain the neurophysiological characteristics of movements. We can identify and extract these muscle synergies from electromyographic signals (EMG) recorded in the laboratory by using linear decomposition algorithms, such as principal component analysis (PCA) and non-Negative Matrix Factorization Algorithm (NNMF). For the past three decades, the hypothesis of muscle synergies has received considerable attention as we attempt to understand and apply the concept of muscle synergies in clinical settings and rehabilitation. In this article, we first explore the concept of muscle synergies. We then present different strategies of adaptation in these synergies that the CNS employs to accomplish a movement goal.
引用
收藏
页码:253 / 263
页数:11
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