Literature DB >> 28411488

Inter-joint coordination of posture on a seesaw device.

Frédéric Noé1, Xavier García-Massó2, Thierry Paillard3.   

Abstract

Even though specific adjustments of the multi-joint control of posture have been observed when posture is challenged, multi-joint coordination on a seesaw device has never been accurately assessed. The current study was conducted in order to investigate the multi-joint coordination when subjects were standing on either a seesaw device or on a stable surface, with the eyes open or closed. Eighteen healthy active subjects were recruited. A principal component analysis and a Self-Organizing Maps analysis were performed on the joint angles in order to detect and characterize dominant coordination patterns. Intermuscular EMG coherence was analysed in order to assess the neurophysiological mechanisms associated with these coordination patterns. The results illustrated a multi-joint organization of posture on both stable ground and on the seesaw, with a higher variability among the individual postural responses observed when standing on the seesaw. These findings challenge the classical assumption of ankle mechanisms as dominating control on seesaw devices and confirm that inter-joint coordination in postural control is strongly modulated by stance conditions. When standing on the seesaw without vision, a decrease in intermuscular coherence was observed without any impact on the joint coordination patterns, likely due to an increase dependence on proprioceptive information.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Inter-joint coordination; Intermuscular coherence; Posture; Seesaw

Mesh:

Year:  2017        PMID: 28411488     DOI: 10.1016/j.jelekin.2017.04.003

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  2 in total

1.  Changes in postural strategy of the lower limb under mechanical knee constraint on an unsteady stance surface.

Authors:  Yi-Ying Tsai; Gwo-Ching Chang; Ing-Shiou Hwang
Journal:  PLoS One       Date:  2020-11-30       Impact factor: 3.240

2.  Impact of Visual Biofeedback of Trunk Sway Smoothness on Motor Learning during Unipedal Stance.

Authors:  Carlos Cruz-Montecinos; Antonio Cuesta-Vargas; Cristian Muñoz; Dante Flores; Joseph Ellsworth; Carlos De la Fuente; Joaquín Calatayud; Gonzalo Rivera-Lillo; Verónica Soto-Arellano; Claudio Tapia; Xavier García-Massó
Journal:  Sensors (Basel)       Date:  2020-05-01       Impact factor: 3.576

  2 in total

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