Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 Dec 20:2018:6067807.
doi: 10.1155/2018/6067807. eCollection 2018.

Upper Limb Neuromuscular Activities and Synergies Comparison between Elite and Nonelite Athletics in Badminton Overhead Forehand Smash

Hamidreza Barnamehei  1 , Farhad Tabatabai Ghomsheh  2 , Afsaneh Safar Cherati  3 , Majid Pouladian  1
Affiliations

Upper Limb Neuromuscular Activities and Synergies Comparison between Elite and Nonelite Athletics in Badminton Overhead Forehand Smash

Hamidreza Barnamehei et al. Appl Bionics Biomech. .

Abstract

This study is aimed at comparing muscle activations and synergies in badminton forehand overhead smash (BFOS) between elite and nonelite players to clarify how the central nervous system (CNS) controls neuromuscular synergy and activation to generate complex overhead movements. EMG of five upper limb muscles was recorded through surface electromyography (EMG) electrodes from twenty players. Athletics is divided into two groups: elite and nonelite. Eventually, nonnegative matrix factorization (NNMF) was utilized to the calculated electromyography signals for muscle synergy comparison. Similarities between elite and nonelite groups were calculated by scalar product method. Results presented that three muscles synergies could sufficiently delineate the found electromyography signals for elite and nonelite players. Individual muscle patterns were moderately to highly similar between elite and nonelite groups (between-group similarity range: 0.52 to 0.90). In addition, high similarities between groups were found for the shape of synergy activation coefficients (range: 0.85 to 0.89). These results indicate that the synergistic organization of muscle coordination during badminton forehand overhead smash is not profoundly affected by expertise.

PubMed Disclaimer

Figures

Figure 1
Figure 1
The different phase of badminton forehand overhead smash (BFOS): acceleration phase (before contact point), follow through (after contact point).
Figure 2
Figure 2
Experimental setup and 39 reflect markers and EMG electrodes were placed on the subject's bodies.
Figure 3
Figure 3
Mean muscle activity (MVC %) and standard deviation for supraspinatus muscle (SS), biceps brachii muscle (BB), infraspinatus muscle (IS), middle deltoid muscle (DL), and serratus anterior muscle (SA) for (a) elite and (b) nonelite groups are shown. Red line and red dash line present the mean contact point and standard deviation.
Figure 4
Figure 4
The relationship between the number of synergies and mean VAF (%) after applying synergy analysis with standard deviations for elite and nonelite subjects.
Figure 5
Figure 5
Comparison of five muscle synergies between (a) elite and (b) nonelite groups with their standard deviations.
Figure 6
Figure 6
Comparison of coactivation coefficients between (a) elite and (b) nonelite groups with standard deviations.
See this image and copyright information in PMC

References

    1. Koike S., Hashiguchi T. Dynamic contribution analysis of badminton-smash-motion with consideration of racket shaft deformation (a model consisted of racket-side upper limb and a racket) Procedia Engineering. 2014;72:496–501. doi: 10.1016/j.proeng.2014.06.135. - DOI
    1. Arora M., Shetty S. H., Khedekar R. G., Kale S. Over half of badminton players suffer from shoulder pain: is impingement to blame? Journal of Arthroscopy and Joint Surgery. 2015;2(1):33–36. doi: 10.1016/j.jajs.2014.12.006. - DOI
    1. Serrien B., Baeyens J.-P. The proximal-to-distal sequence in upper-limb motions on multiple levels and time scales. Human Movement Science. 2017;55:156–171. doi: 10.1016/j.humov.2017.08.009. - DOI - PubMed
    1. VencesBrito A. M., Rodrigues Ferreira M. A., Cortes N., Fernandes O., Pezarat-Correia P. Kinematic and electromyographic analyses of a karate punch. Journal of Electromyography and Kinesiology. 2011;21(6):1023–1029. doi: 10.1016/j.jelekin.2011.09.007. - DOI - PubMed
    1. Rusydi M. I., Sasaki M., Sucipto M. H., Zaini, Windasari N. Local Euler angle pattern recognition for smash and backhand in badminton based on arm position. Procedia Manufacturing. 2015;3:898–903. doi: 10.1016/j.promfg.2015.07.125. - DOI

LinkOut - more resources