Choi Yoonjin, Kim Yushin, Kim Minhee, Yoon BumChul
a Department of Physical Therapy , College of Health Science, Korea University , Seoul , South Korea.
b Mechanical Technology Research Center , Korea Advanced Institute of Science and Technology , Daejeon , South Korea.
J Mot Behav. 2019;51(1):1-9. doi: 10.1080/00222895.2017.1408558. Epub 2017 Dec 19.
Muscle synergy describes reduced set of functional muscle co-activation patterns. We aimed to identify muscle synergies of turning compared with straight walking. Twelve healthy adults (men: 7, women: 5) performed straight walking (SW), left turning (LT), and right turning (RT) at self-selected speeds. By using non-negative matrix factorization (NMF), we extracted muscle synergies from sixteen electromyography (EMG) signals on the right side and assigned similar muscle synergies among SW, LT, and RT into the same cluster by combining k-means clustering and intraclass correlation coefficient (ICC) analysis. We obtained task-specific clusters of muscle synergies extracted from SW, LT, or RT condition and identified the clusters that share synergies among the conditions. The central nervous system produces specific synergies involving turning behaviors and fundamental synergies for walking.
肌肉协同作用描述了功能上肌肉共同激活模式的减少。我们旨在识别与直行相比转弯时的肌肉协同作用。12名健康成年人（男性7名，女性5名）以自选速度进行直行（SW）、左转（LT）和右转（RT）。通过使用非负矩阵分解（NMF），我们从右侧的16个肌电图（EMG）信号中提取肌肉协同作用，并通过结合k均值聚类和组内相关系数（ICC）分析，将SW、LT和RT之间相似的肌肉协同作用归为同一簇。我们获得了从SW、LT或RT条件中提取的特定任务的肌肉协同作用簇，并识别了在这些条件之间共享协同作用的簇。中枢神经系统产生了涉及转弯行为的特定协同作用以及行走的基本协同作用。
