Literature DB >> 9644290

Intrinsic muscle properties facilitate locomotor control - a computer simulation study.

K G Gerritsen1, A J van den Bogert, M Hulliger, R F Zernicke.   

Abstract

The purpose of this study was to investigate, theoretically, to what extent muscle properties could contribute to recovery from perturbations during locomotion. Four models with different actuator properties were created: the FLVT model, which encompassed force-length (FL) and force-velocity (FV) characteristics of human muscles as well as muscle stimulation inputs as functions of time (T); the FLT model, which had muscles without force-velocity characteristics; the FVT model, which had muscles without specific force-length characteristics; and the MT model, which had no muscles but was driven by joint moments (M) as a function of time. Each model was exposed to static and dynamic perturbations and its response was examined. FLVT showed good resistance to both static can dynamic perturbations. FLT was resistant to static perturbation but could not counteract dynamic perturbation, whereas the opposite was found for FVT. MT could not counteract either of the perturbations. Based on the results of the simulations, skeletal muscle force-length-velocity properties, although interactively complex, contribute substantially to the dynamic stability of the musculoskeletal system.

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Year:  1998        PMID: 9644290     DOI: 10.1123/mcj.2.3.206

Source DB:  PubMed          Journal:  Motor Control        ISSN: 1087-1640            Impact factor:   1.422


  20 in total

1.  Integration of intrinsic muscle properties, feed-forward and feedback signals for generating and stabilizing hopping.

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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.  The influence of visual perturbations on the neural control of limb stiffness.

Authors:  Jeremy Wong; Elizabeth T Wilson; Nicole Malfait; Paul L Gribble
Journal:  J Neurophysiol       Date:  2008-07-30       Impact factor: 2.714

Review 4.  Recent developments in understanding the length dependence of contractile response of skeletal muscle.

Authors:  Brian R MacIntosh
Journal:  Eur J Appl Physiol       Date:  2017-03-27       Impact factor: 3.078

5.  Predictive simulation of gait at low gravity reveals skipping as the preferred locomotion strategy.

Authors:  Marko Ackermann; Antonie J van den Bogert
Journal:  J Biomech       Date:  2012-02-24       Impact factor: 2.712

6.  Neural representation of muscle dynamics in voluntary movement control.

Authors:  Christopher J Hasson
Journal:  Exp Brain Res       Date:  2014-03-26       Impact factor: 1.972

7.  Concurrent musculoskeletal dynamics and finite element analysis predicts altered gait patterns to reduce foot tissue loading.

Authors:  Jason P Halloran; Marko Ackermann; Ahmet Erdemir; Antonie J van den Bogert
Journal:  J Biomech       Date:  2010-06-22       Impact factor: 2.712

8.  Adaptive surrogate modeling for efficient coupling of musculoskeletal control and tissue deformation models.

Authors:  Jason P Halloran; Ahmet Erdemir; Antonie J van den Bogert
Journal:  J Biomech Eng       Date:  2009-01       Impact factor: 2.097

9.  A phenomenological model and validation of shortening-induced force depression during muscle contractions.

Authors:  Craig P McGowan; Richard R Neptune; Walter Herzog
Journal:  J Biomech       Date:  2009-10-30       Impact factor: 2.712

10.  Optimality principles for model-based prediction of human gait.

Authors:  Marko Ackermann; Antonie J van den Bogert
Journal:  J Biomech       Date:  2010-01-13       Impact factor: 2.712

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