Literature DB >> 10675808

Energy-minimizing choices of muscles and patterns of movement.

R M Alexander1.   

Abstract

Prilutsky (1999, target paper) reports that Crowninshield and Brand's (1981) criterion, minimization of the sum of the cubes of muscle stresses, works well as a predictor of the division of labor between muscles, for various tasks. However, no direct benefit from minimizing this particular sum is apparent, and it seems likely that it is merely a correlate of the criterion that actually drives muscle choice. In many tasks, there would be a clear, direct benefit from minimizing metabolic energy costs, as Prilutsky (1999) points out. Alexander (1997a, 1997b) and Minetti and Alexander (1997) have shown how the metabolic energy costs of muscle contraction can be estimated, and used to predict optimum muscle properties or optimal patterns of movement. This article explores the feasibility of using the same approach to predict optimum division of labor between one- and two-joint muscles.

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Year:  2000        PMID: 10675808     DOI: 10.1123/mcj.4.1.45

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


  4 in total

Review 1.  Optimization-based models of muscle coordination.

Authors:  Boris I Prilutsky; Vladimir M Zatsiorsky
Journal:  Exerc Sport Sci Rev       Date:  2002-01       Impact factor: 6.230

2.  Predictability, force, and (anti)resonance in complex object control.

Authors:  Pauline Maurice; Neville Hogan; Dagmar Sternad
Journal:  J Neurophysiol       Date:  2018-04-18       Impact factor: 2.714

3.  Rhythmic manipulation of objects with complex dynamics: predictability over chaos.

Authors:  Bahman Nasseroleslami; Christopher J Hasson; Dagmar Sternad
Journal:  PLoS Comput Biol       Date:  2014-10-23       Impact factor: 4.475

4.  Movement Strategies for Countermovement Jumping are Potentially Influenced by Elastic Energy Stored and Released from Tendons.

Authors:  Logan Wade; Glen Lichtwark; Dominic James Farris
Journal:  Sci Rep       Date:  2018-02-02       Impact factor: 4.379

  4 in total

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