Investigation of the Intra- and Inter-Limb Muscle Coordination of Hands-and-Knees Crawling in Human Adults by Means of Muscle Synergy Analysis

To investigate the intra- and inter-limb muscle coordination mechanism of human hands-and-knees crawling by means of muscle synergy analysis, surface electromyographic (sEMG) signals of 20 human adults were collected bilaterally from 32 limb related muscles during crawling with hands and knees at di...

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Main Authors: Xiang Chen, Xiaocong Niu, De Wu, Yi Yu, Xu Zhang
Format: Article
Language:English
Published: MDPI AG 2017-05-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/19/5/229
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author Xiang Chen
Xiaocong Niu
De Wu
Yi Yu
Xu Zhang
author_facet Xiang Chen
Xiaocong Niu
De Wu
Yi Yu
Xu Zhang
author_sort Xiang Chen
collection DOAJ
description To investigate the intra- and inter-limb muscle coordination mechanism of human hands-and-knees crawling by means of muscle synergy analysis, surface electromyographic (sEMG) signals of 20 human adults were collected bilaterally from 32 limb related muscles during crawling with hands and knees at different speeds. The nonnegative matrix factorization (NMF) algorithm was exerted on each limb to extract muscle synergies. The results showed that intra-limb coordination was relatively stable during human hands-and-knees crawling. Two synergies, one relating to the stance phase and the other relating to the swing phase, could be extracted from each limb during a crawling cycle. Synergy structures during different speeds kept good consistency, but the recruitment levels, durations, and phases of muscle synergies were adjusted to adapt the change of crawling speed. Furthermore, the ipsilateral phase lag (IPL) value which was used to depict the inter-limb coordination changed with crawling speed for most subjects, and subjects using the no-limb-pairing mode at low speed tended to adopt the trot-like mode or pace-like mode at high speed. The research results could be well explained by the two-level central pattern generator (CPG) model consisting of a half-center rhythm generator (RG) and a pattern formation (PF) circuit. This study sheds light on the underlying control mechanism of human crawling.
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spelling doaj.art-25d2ee8d26094b66808988b6a4427ff42022-12-22T03:19:30ZengMDPI AGEntropy1099-43002017-05-0119522910.3390/e19050229e19050229Investigation of the Intra- and Inter-Limb Muscle Coordination of Hands-and-Knees Crawling in Human Adults by Means of Muscle Synergy AnalysisXiang Chen0Xiaocong Niu1De Wu2Yi Yu3Xu Zhang4Department of Electronic Science and Technology, University of Science and Technology of China (USTC), Hefei 230026, ChinaDepartment of Electronic Science and Technology, University of Science and Technology of China (USTC), Hefei 230026, ChinaDepartment of Pediatrics, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, ChinaDepartment of Electronic Science and Technology, University of Science and Technology of China (USTC), Hefei 230026, ChinaDepartment of Electronic Science and Technology, University of Science and Technology of China (USTC), Hefei 230026, ChinaTo investigate the intra- and inter-limb muscle coordination mechanism of human hands-and-knees crawling by means of muscle synergy analysis, surface electromyographic (sEMG) signals of 20 human adults were collected bilaterally from 32 limb related muscles during crawling with hands and knees at different speeds. The nonnegative matrix factorization (NMF) algorithm was exerted on each limb to extract muscle synergies. The results showed that intra-limb coordination was relatively stable during human hands-and-knees crawling. Two synergies, one relating to the stance phase and the other relating to the swing phase, could be extracted from each limb during a crawling cycle. Synergy structures during different speeds kept good consistency, but the recruitment levels, durations, and phases of muscle synergies were adjusted to adapt the change of crawling speed. Furthermore, the ipsilateral phase lag (IPL) value which was used to depict the inter-limb coordination changed with crawling speed for most subjects, and subjects using the no-limb-pairing mode at low speed tended to adopt the trot-like mode or pace-like mode at high speed. The research results could be well explained by the two-level central pattern generator (CPG) model consisting of a half-center rhythm generator (RG) and a pattern formation (PF) circuit. This study sheds light on the underlying control mechanism of human crawling.http://www.mdpi.com/1099-4300/19/5/229surface EMGmuscle synergyhands-and-knees crawlingtwo-level CPG
spellingShingle Xiang Chen
Xiaocong Niu
De Wu
Yi Yu
Xu Zhang
Investigation of the Intra- and Inter-Limb Muscle Coordination of Hands-and-Knees Crawling in Human Adults by Means of Muscle Synergy Analysis
Entropy
surface EMG
muscle synergy
hands-and-knees crawling
two-level CPG
title Investigation of the Intra- and Inter-Limb Muscle Coordination of Hands-and-Knees Crawling in Human Adults by Means of Muscle Synergy Analysis
title_full Investigation of the Intra- and Inter-Limb Muscle Coordination of Hands-and-Knees Crawling in Human Adults by Means of Muscle Synergy Analysis
title_fullStr Investigation of the Intra- and Inter-Limb Muscle Coordination of Hands-and-Knees Crawling in Human Adults by Means of Muscle Synergy Analysis
title_full_unstemmed Investigation of the Intra- and Inter-Limb Muscle Coordination of Hands-and-Knees Crawling in Human Adults by Means of Muscle Synergy Analysis
title_short Investigation of the Intra- and Inter-Limb Muscle Coordination of Hands-and-Knees Crawling in Human Adults by Means of Muscle Synergy Analysis
title_sort investigation of the intra and inter limb muscle coordination of hands and knees crawling in human adults by means of muscle synergy analysis
topic surface EMG
muscle synergy
hands-and-knees crawling
two-level CPG
url http://www.mdpi.com/1099-4300/19/5/229
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