Literature DB >> 8373890

The contribution of muscle properties in the control of explosive movements.

A J van Soest1, M F Bobbert.   

Abstract

Explosive movements such as throwing, kicking, and jumping are characterized by high velocity and short movement time. Due to the fact that latencies of neural feedback loops are long in comparison to movement times, correction of deviations cannot be achieved on the basis of neural feedback. In other words, the control signals must be largely preprogrammed. Furthermore, in many explosive movements the skeletal system is mechanically analogous to an inverted pendulum; in such a system, disturbances tend to be amplified as time proceeds. It is difficult to understand how an inverted-pendulum-like system can be controlled on the basis of some form of open loop control (albeit during a finite period of time only). To investigate if actuator properties, specifically the force-length-velocity relationship of muscle, reduce the control problem associated with explosive movement tasks such as human vertical jumping, a direct dynamics modeling and simulation approach was adopted. In order to identify the role of muscle properties, two types of open loop control signals were applied: STIM(t), representing the stimulation of muscles, and MOM(t), representing net joint movements. In case of STIM control, muscle properties influence the joint moments exerted on the skeleton; in case of MOM control, these moments are directly prescribed. By applying perturbations and comparing the deviations from a reference movement for both types of control, the reduction of the effect of disturbances due to muscle properties was calculated. It was found that the system is very sensitive to perturbations in case of MOM control; the sensitivity to perturbations is markedly less in case of STIM control. It was concluded that muscle properties constitute a peripheral feedback system that has the advantage of zero time delay. This feedback system reduces the effect of perturbations during human vertical jumping to such a degree that when perturbations are not too large, the task may be performed successfully without any adaptation of the muscle stimulation pattern.

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Year:  1993        PMID: 8373890     DOI: 10.1007/bf00198959

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


  17 in total

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Authors:  G J Ettema; P A Huijing
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4.  The relation between force and speed in muscular contraction.

Authors:  B Katz
Journal:  J Physiol       Date:  1939-06-14       Impact factor: 5.182

5.  Self-organized control of bipedal locomotion by neural oscillators in unpredictable environment.

Authors:  G Taga; Y Yamaguchi; H Shimizu
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

6.  Does the nervous system use equilibrium-point control to guide single and multiple joint movements?

Authors:  E Bizzi; N Hogan; F A Mussa-Ivaldi; S Giszter
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7.  A model of the human triceps surae muscle-tendon complex applied to jumping.

Authors:  M F Bobbert; P A Huijing; G J van Ingen Schenau
Journal:  J Biomech       Date:  1986       Impact factor: 2.712

8.  The influence of temperature initial length and electrical activity on the force-velocity relationship of the medial gastrocnemius muscle of the cat.

Authors:  J S Petrofsky; C A Phillips
Journal:  J Biomech       Date:  1981       Impact factor: 2.712

9.  The variation in isometric tension with sarcomere length in vertebrate muscle fibres.

Authors:  A M Gordon; A F Huxley; F J Julian
Journal:  J Physiol       Date:  1966-05       Impact factor: 5.182

10.  Response to sudden torques about ankle in man: myotatic reflex.

Authors:  G L Gottlieb; G C Agarwal
Journal:  J Neurophysiol       Date:  1979-01       Impact factor: 2.714

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  31 in total

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3.  Stance and swing phase costs in human walking.

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

4.  Lyapunov function and the basin of attraction for a single-joint muscle-skeletal model.

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Journal:  J Math Biol       Date:  2007-04       Impact factor: 2.259

5.  Robust passive dynamics of the musculoskeletal system compensate for unexpected surface changes during human hopping.

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6.  Control of position and movement is simplified by combined muscle spindle and Golgi tendon organ feedback.

Authors:  Dinant A Kistemaker; Arthur J Knoek Van Soest; Jeremy D Wong; Isaac Kurtzer; Paul L Gribble
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7.  The cost of moving optimally: kinematic path selection.

Authors:  Dinant A Kistemaker; Jeremy D Wong; Paul L Gribble
Journal:  J Neurophysiol       Date:  2014-06-18       Impact factor: 2.714

Review 8.  Validation of Hill-type muscle models in relation to neuromuscular recruitment and force-velocity properties: predicting patterns of in vivo muscle force.

Authors:  Andrew A Biewener; James M Wakeling; Sabrina S Lee; Allison S Arnold
Journal:  Integr Comp Biol       Date:  2014-06-12       Impact factor: 3.326

9.  Integrative Biomimetics of Autonomous Hexapedal Locomotion.

Authors:  Volker Dürr; Paolo P Arena; Holk Cruse; Chris J Dallmann; Alin Drimus; Thierry Hoinville; Tammo Krause; Stefan Mátéfi-Tempfli; Jan Paskarbeit; Luca Patanè; Mattias Schäffersmann; Malte Schilling; Josef Schmitz; Roland Strauss; Leslie Theunissen; Alessandra Vitanza; Axel Schneider
Journal:  Front Neurorobot       Date:  2019-10-23       Impact factor: 2.650

10.  Accuracy of gastrocnemius muscles forces in walking and running goats predicted by one-element and two-element Hill-type models.

Authors:  Sabrina S M Lee; Allison S Arnold; Maria de Boef Miara; Andrew A Biewener; James M Wakeling
Journal:  J Biomech       Date:  2013-07-18       Impact factor: 2.712

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