Literature DB >> 12535721

Biomechanics and muscle coordination of human walking: part II: lessons from dynamical simulations and clinical implications.

Felix E Zajac1, Richard R Neptune, Steven A Kautz.   

Abstract

Principles of muscle coordination in gait have been based largely on analyses of body motion, ground reaction force and EMG measurements. However, data from dynamical simulations provide a cause-effect framework for analyzing these measurements; for example, Part I (Gait Posture, in press) of this two-part review described how force generation in a muscle affects the acceleration and energy flow among the segments. This Part II reviews the mechanical and coordination concepts arising from analyses of simulations of walking. Simple models have elucidated the basic multisegmented ballistic and passive mechanics of walking. Dynamical models driven by net joint moments have provided clues about coordination in healthy and pathological gait. Simulations driven by muscle excitations have highlighted the partial stability afforded by muscles with their viscoelastic-like properties and the predictability of walking performance when minimization of metabolic energy per unit distance is assumed. When combined with neural control models for exciting motoneuronal pools, simulations have shown how the integrative properties of the neuro-musculo-skeletal systems maintain a stable gait. Other analyses of walking simulations have revealed how individual muscles contribute to trunk support and progression. Finally, we discuss how biomechanical models and simulations may enhance our understanding of the mechanics and muscle function of walking in individuals with gait impairments.

Entities:  

Mesh:

Year:  2003        PMID: 12535721     DOI: 10.1016/s0966-6362(02)00069-3

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  72 in total

Review 1.  Surface electromyogram signal modelling.

Authors:  K C McGill
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

2.  Stance and swing phase costs in human walking.

Authors:  Brian R Umberger
Journal:  J R Soc Interface       Date:  2010-03-31       Impact factor: 4.118

3.  A novel mouse running wheel that senses individual limb forces: biomechanical validation and in vivo testing.

Authors:  Grahm C Roach; Mangesh Edke; Timothy M Griffin
Journal:  J Appl Physiol (1985)       Date:  2012-06-21

4.  All joint moments significantly contribute to trunk angular acceleration.

Authors:  Cameron R Nott; Felix E Zajac; Richard R Neptune; Steven A Kautz
Journal:  J Biomech       Date:  2010-06-19       Impact factor: 2.712

5.  A case study of gait compensations for hip muscle weakness in idiopathic inflammatory myopathy.

Authors:  Karen Lohmann Siegel; Thomas M Kepple; Steven J Stanhope
Journal:  Clin Biomech (Bristol, Avon)       Date:  2006-12-21       Impact factor: 2.063

6.  Neuromechanics of coordination during swallowing in Aplysia californica.

Authors:  Hui Ye; Douglas W Morton; Hillel J Chiel
Journal:  J Neurosci       Date:  2006-02-01       Impact factor: 6.167

7.  Compliant leg behaviour explains basic dynamics of walking and running.

Authors:  Hartmut Geyer; Andre Seyfarth; Reinhard Blickhan
Journal:  Proc Biol Sci       Date:  2006-11-22       Impact factor: 5.349

8.  Coordinated modulation of locomotor muscle synergies constructs straight-ahead and curvilinear walking in humans.

Authors:  Grégoire Courtine; Charalambos Papaxanthis; Marco Schieppati
Journal:  Exp Brain Res       Date:  2005-11-19       Impact factor: 1.972

9.  Minimizing Postural Demands of Walking While Still Emphasizing Locomotor Force Generation for Nonimpaired Individuals.

Authors:  Sarah A Graham; Christopher P Hurt; David A Brown
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2018-05       Impact factor: 3.802

10.  Merging of healthy motor modules predicts reduced locomotor performance and muscle coordination complexity post-stroke.

Authors:  David J Clark; Lena H Ting; Felix E Zajac; Richard R Neptune; Steven A Kautz
Journal:  J Neurophysiol       Date:  2009-12-09       Impact factor: 2.714

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.