Literature DB >> 22534213

Shoulder muscles recruitment during a power backward giant swing on high bar: a wavelet-EMG-analysis.

Julien Frère1, Beat Göpfert, Jean Slawinski, Claire Tourny-Chollet.   

Abstract

This study aimed at determining the upper limb muscles coordination during a power backward giant swing (PBGS) and the recruitment pattern of motor units (MU) of co-activated muscles. The wavelet transformation (WT) was applied to the surface electromyographic (EMG) signal of eight shoulder muscles. Total gymnast's body energy and wavelet synergies extracted from the WT-EMG by using a non-negative matrix factorization were analyzed as a function of the body position angle of the gymnast. A cross-correlation analysis of the EMG patterns allowed determining two main groups of co-activated muscles. Two wavelet synergies representing the main spectral features (82% of the variance accounted for) discriminated the recruitment of MU. Although no task-group of MU was found among the muscles, it appeared that a higher proportion of fast MU was recruited within the muscles of the first group during the upper part of the PBGS. The last increase of total body energy before bar release was induced by the recruitment of the muscles of the second group but did not necessitate the recruitment of a higher proportion of fast MU. Such muscle coordination agreed with previous simulations of elements on high bar as well as the findings related to the recruitment of MU.
Copyright © 2012 Elsevier B.V. All rights reserved.

Mesh:

Year:  2012        PMID: 22534213     DOI: 10.1016/j.humov.2012.02.002

Source DB:  PubMed          Journal:  Hum Mov Sci        ISSN: 0167-9457            Impact factor:   2.161


  5 in total

1.  Force balance reconstruction of orbicularis oris in correction of unilateral cleft lip deformity.

Authors:  Yu Chen; Ying Meng Liu; Bi He Zhang; Qian Zheng; Bing Shi; Cheng Hao Li
Journal:  Hua Xi Kou Qiang Yi Xue Za Zhi       Date:  2021-12-01

2.  Estimation of Time-Frequency Muscle Synergy in Wrist Movements.

Authors:  Ping Xie; Qingya Chang; Yuanyuan Zhang; Xiaojiao Dong; Jinxu Yu; Xiaoling Chen
Journal:  Entropy (Basel)       Date:  2022-05-16       Impact factor: 2.738

3.  Muscle Co-Contraction Detection in the Time-Frequency Domain.

Authors:  Francesco Di Nardo; Martina Morano; Annachiara Strazza; Sandro Fioretti
Journal:  Sensors (Basel)       Date:  2022-06-28       Impact factor: 3.847

4.  Between-subject variability of muscle synergies during a complex motor skill.

Authors:  Julien Frère; François Hug
Journal:  Front Comput Neurosci       Date:  2012-12-28       Impact factor: 2.380

5.  The punctum fixum-punctum mobile model: a neuromuscular principle for efficient movement generation?

Authors:  Christoph von Laßberg; Walter Rapp
Journal:  PLoS One       Date:  2015-03-30       Impact factor: 3.240

  5 in total

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