Literature DB >> 16249892

Can co-activation reduce kinematic variability? A simulation study.

Luc P J Selen1, Peter J Beek, Jaap H van Dieën.   

Abstract

Impedance modulation has been suggested as a means to suppress the effects of internal 'noise' on movement kinematics. We investigated this hypothesis in a neuro-musculo-skeletal model. A prerequisite is that the muscle model produces realistic force variability. We found that standard Hill-type models do not predict realistic force variability in response to variability in stimulation. In contrast, a combined motor-unit pool model and a pool of parallel Hill-type motor units did produce realistic force variability as a function of target force, largely independent of how the force was transduced to the tendon. To test the main hypothesis, two versions of the latter model were simulated as an antagonistic muscle pair, controlling the position of a frictionless hinge joint, with a distal segment having realistic inertia relative to the muscle strength. Increasing the impedance through co-activation resulted in less kinematic variability, except for the lowest levels of co-activation. Model behavior in this region was affected by the noise amplitude and the inertial properties of the model. Our simulations support the idea that muscular co-activation is in principle an effective strategy to meet accuracy demands.

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Year:  2005        PMID: 16249892     DOI: 10.1007/s00422-005-0015-y

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


  36 in total

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4.  Impedance is modulated to meet accuracy demands during goal-directed arm movements.

Authors:  Luc P J Selen; Peter J Beek; Jaap H van Dieën
Journal:  Exp Brain Res       Date:  2005-12-22       Impact factor: 1.972

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8.  Error variability affects the after effects following motor learning of lateral balance control during walking in people with spinal cord injury.

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9.  How is precision regulated in maintaining trunk posture?

Authors:  Nienke W Willigenburg; Idsart Kingma; Jaap H van Dieën
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10.  A computational model of limb impedance control based on principles of internal model uncertainty.

Authors:  Djordje Mitrovic; Stefan Klanke; Rieko Osu; Mitsuo Kawato; Sethu Vijayakumar
Journal:  PLoS One       Date:  2010-10-26       Impact factor: 3.240

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