Literature DB >> 11417055

Biomechanical analysis of movement strategies in human forward trunk bending. II. Experimental study.

A V Alexandrov1, A A Frolov, J Massion.   

Abstract

The large mass of the human upper trunk, its elevated position during erect stance, and the small area limited by the size of the feet, stress the importance of equilibrium control during trunk movements. The objective of the present study was to perform a biomechanical analysis of fast forward trunk movements in order to understand the coordination between movement and posture. The analysis is based on a comparison between experimentally observed bending and hypothetical "optimal bending" performed on an infinitely narrow support, as presented in a companion paper. The experimental data were obtained from 16 subjects who performed fast forward bending while standing on a wide platform or on a narrow beam. The analysis is performed by decomposition of the movement into three dynamically independent components, each representing a movement along one of the three eigenvectors of the motion equation. The eigenmovements are termed "hip", "ankle", and "knee" eigenmovements, according to the dominant joint. The experimentally observed movement is characterized mainly by the hip and ankle eigenmovements, whereas the knee eigenmovement is negligible. Similarly to the "optimal bending" the ankle eigenmovement starts earlier and lasts longer than the hip eigenmovement. An early forward acceleration of the center of gravity in the ankle eigenmovement is caused by anticipatory changes in the ankle joint torque. This clarifies the role of the early tibialis anterior burst and/or soleus inhibition usually observed in electromyographic recordings during forward bending. The results suggest that the hip and the ankle eigenmovements can be treated as independently controlled motion units aimed at functionally different behavioral goals: the bending per se and postural adjustment. It is proposed that the central nervous system has to control these motion units sequentially in order to perform the movement and maintain equilibrium. It is also suggested that the hip and ankle eigenmovements can be regarded as a biomechanical background for the hip and ankle strategies introduced by Horak and Nashner (1986) on the basis of electromyographic recordings and kinematic patterns in response to postural perturbations.

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Year:  2001        PMID: 11417055     DOI: 10.1007/PL00007987

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  16 in total

1.  Kinematic synergy adaptation to an unstable support surface and equilibrium maintenance during forward trunk movement.

Authors:  S Vernazza-Martin; N Martin; A Le Pellec-Muller; V Tricon; J Massion
Journal:  Exp Brain Res       Date:  2006-03-22       Impact factor: 1.972

2.  Effect of aging on the coordination between equilibrium and movement: what changes?

Authors:  S Vernazza-Martin; V Tricon; N Martin; S Mesure; J P Azulay; A Le Pellec-Muller
Journal:  Exp Brain Res       Date:  2008-03-18       Impact factor: 1.972

3.  The role of vestibular and somatosensory systems in intersegmental control of upright stance.

Authors:  Rob Creath; Tim Kiemel; Fay Horak; John J Jeka
Journal:  J Vestib Res       Date:  2008       Impact factor: 2.435

Review 4.  Dimensional reduction in sensorimotor systems: a framework for understanding muscle coordination of posture.

Authors:  Lena H Ting
Journal:  Prog Brain Res       Date:  2007       Impact factor: 2.453

5.  Two stages and three components of the postural preparation to action.

Authors:  Vennila Krishnan; Alexander S Aruin; Mark L Latash
Journal:  Exp Brain Res       Date:  2011-05-03       Impact factor: 1.972

6.  Feedback equilibrium control during human standing.

Authors:  A V Alexandrov; A A Frolov; F B Horak; P Carlson-Kuhta; S Park
Journal:  Biol Cybern       Date:  2005-11-04       Impact factor: 2.086

7.  Effects of joint immobilization on standing balance.

Authors:  Paulo B de Freitas; Sandra M S F Freitas; Marcos Duarte; Mark L Latash; Vladimir M Zatsiorsky
Journal:  Hum Mov Sci       Date:  2009-04-01       Impact factor: 2.161

8.  Identification of the contribution of the ankle and hip joints to multi-segmental balance control.

Authors:  Tjitske Anke Boonstra; Alfred C Schouten; Herman van der Kooij
Journal:  J Neuroeng Rehabil       Date:  2013-02-22       Impact factor: 4.262

9.  Optimization of muscle activity for task-level goals predicts complex changes in limb forces across biomechanical contexts.

Authors:  J Lucas McKay; Lena H Ting
Journal:  PLoS Comput Biol       Date:  2012-04-12       Impact factor: 4.475

10.  Taekwondo training improves balance in volunteers over 40.

Authors:  G Pons van Dijk; A F Lenssen; P Leffers; H Kingma; J Lodder
Journal:  Front Aging Neurosci       Date:  2013-03-13       Impact factor: 5.750

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