TY - JOUR
T1 - Muscle Synergies for Turning During Human Walking
AU - Choi, Yoonjin
AU - Kim, Yushin
AU - Kim, Minhee
AU - Yoon, Bum Chul
N1 - Funding Information:
This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (HI14C1155), funded by the Ministry of Health & Welfare, Republic of Korea; and by a grant of the mid-level research project through the National Research Foundation of Korea (2017R1A2B4009720), funded by the Ministry of Health & Welfare, Republic of Korea.
Publisher Copyright:
© 2017, Copyright © Taylor & Francis Group, LLC.
PY - 2019/1/2
Y1 - 2019/1/2
N2 - 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.
AB - 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.
KW - curvilinear walking
KW - electromyography
KW - non-negative matrix factorization
KW - synergy
UR - http://www.scopus.com/inward/record.url?scp=85038352231&partnerID=8YFLogxK
U2 - 10.1080/00222895.2017.1408558
DO - 10.1080/00222895.2017.1408558
M3 - Article
C2 - 29257938
AN - SCOPUS:85038352231
VL - 51
SP - 1
EP - 9
JO - Journal of Motor Behavior
JF - Journal of Motor Behavior
SN - 0022-2895
IS - 1
ER -