Literature DB >> 8809618

Estimating the contribution of muscles to joint torque based on motor-unit activity.

M Theeuwen1, C C Gielen, B M van Bolhuis.   

Abstract

Because most joints in the human arm are crossed by a number of muscles which exceeds the number of degrees of freedom for those joints, the motor system can use a variety of muscle activation patterns for the same torque in each joint. We have developed a mode to estimate the contribution of individual muscles to the total torque in a joint based on intramuscular EMG recordings. EMG activity recorded with surface electrodes may be contaminated with cross-talk from other muscles. Moreover, it may not be representative for the activation of a muscle when there are several subpopulations of motor units in the muscle. We derive a relation between the recruitment threshold of a motor unit in a subpopulation for force in various directions and the relative contribution by that subpopulation to joint torque. A set of linear equations can then be constructed which relates the contribution of each subpopulation (and therefore of each muscle) to the total joint torque. If the activition of individual subpopulations is modulated differently for forces in various directions, the relative contribution of the individual subpopulations to the total joint torque can be estimated.

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Year:  1996        PMID: 8809618     DOI: 10.1016/0021-9290(95)00158-1

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  3 in total

1.  Activation patterns of mono- and bi-articular arm muscles as a function of force and movement direction of the wrist in humans.

Authors:  B M Bolhuis; C C Gielen; G J van Ingen Schenau
Journal:  J Physiol       Date:  1998-04-01       Impact factor: 5.182

Review 2.  The use of electromyography for the noninvasive prediction of muscle forces. Current issues.

Authors:  J J Dowling
Journal:  Sports Med       Date:  1997-08       Impact factor: 11.136

3.  Robust and accurate decoding of motoneuron behaviour and prediction of the resulting force output.

Authors:  Christopher K Thompson; Francesco Negro; Michael D Johnson; Matthew R Holmes; Laura Miller McPherson; Randall K Powers; Dario Farina; Charles J Heckman
Journal:  J Physiol       Date:  2018-06-09       Impact factor: 5.182

  3 in total

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