Literature DB >> 8117365

An analytical examination of muscle force estimations using optimization techniques.

J H Challis1, D G Kerwin.   

Abstract

Muscle forces are often estimated during human movement using optimization procedures. The optimization procedures involve the minimization of an objective function relating to the muscle forces. In this study 15 different objective functions were evaluated by examining the analytical solutions to the objective functions and by comparing their force predictions with the forces estimated using a validated muscle model. The muscle forces estimated by the objective functions were shown to give poor correspondence with the muscle model predicted muscle forces. The objective function estimates were criticized for not taking sufficient account of the physiological properties of the muscles. As a consequence of the analysis of the objective functions an alternative, simpler function was presented with which to estimate muscle forces in vivo. This function required that to satisfy a given joint moment, the force exerted by each of the muscles divided by the maximum force possible by the muscle was constant for all muscles. For this function the maximum muscle force was determined using a muscle model assuming maximal activation.

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Year:  1993        PMID: 8117365     DOI: 10.1243/PIME_PROC_1993_207_286_02

Source DB:  PubMed          Journal:  Proc Inst Mech Eng H        ISSN: 0954-4119            Impact factor:   1.617


  5 in total

1.  Reproducibility and variability of the cost functions reconstructed from experimental recordings in multifinger prehension.

Authors:  Xun Niu; Mark L Latash; Vladimir M Zatsiorsky
Journal:  J Mot Behav       Date:  2012-02-24       Impact factor: 1.328

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.  Reconstruction of the unknown optimization cost functions from experimental recordings during static multi-finger prehension.

Authors:  Xun Niu; Alexander V Terekhov; Mark L Latash; Vladimir M Zatsiorsky
Journal:  Motor Control       Date:  2011-11-16       Impact factor: 1.422

4.  The sensitivity of a lower limb model to axial rotation offsets and muscle bounds at the knee.

Authors:  Dominic F L Southgate; Daniel J Cleather; Robert A Weinert-Aplin; Anthony M J Bull
Journal:  Proc Inst Mech Eng H       Date:  2012-09       Impact factor: 1.617

5.  Influence of model complexity and problem formulation on the forces in the knee calculated using optimization methods.

Authors:  Chih-Chung Hu; Tung-Wu Lu; Sheng-Chang Chen
Journal:  Biomed Eng Online       Date:  2013-03-07       Impact factor: 2.819

  5 in total

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