Literature DB >> 15671332

Mechanics and energetics of swinging the human leg.

Jiro Doke1, J Maxwell Donelan, Arthur D Kuo.   

Abstract

We measured how much metabolic energy is expended to swing a human leg. A previous dynamical model of walking predicted that increasing metabolic costs for walking with step length and step frequency trade-off against each other to determine the optimum step combination at a given speed. Simple pendulum dynamics indicate that the cost of walking at high step frequencies could be associated with driving the legs back and forth relative to the body, at a rate increasing approximately with the fourth power of frequency, possibly due to the low economy of producing muscle force for short durations. A similar cost would be expected for isolated swinging of a leg at faster than its natural frequency. We constructed an apparatus to measure work performed on the leg, and measured metabolic cost as human subjects (N=12) swung one leg at frequencies 0.5-1.1 Hz and fixed amplitude. Rate of mechanical work ranged from 0.02-0.27 W kg(-1) over these frequencies. Net metabolic rate for leg swinging (subtracting that for quiet standing) increased from 0.41-2.10 W kg(-1), approximately with the fourth power of frequency (R(2)=0.92) and in proportion to a hypothesized cost of force production for short durations. The costs of producing force and work could account for the increase. In a crude comparison, moving the legs back and forth at a typical stride frequency of 0.9 Hz, might consume about one-third of the net energy (2.8+/-0.8 W kg(-1)) needed for walking at 1.3 m s(-1).

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Year:  2005        PMID: 15671332     DOI: 10.1242/jeb.01408

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  58 in total

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8.  Elastic coupling of limb joints enables faster bipedal walking.

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9.  Mechanical and energetic consequences of rolling foot shape in human walking.

Authors:  Peter G Adamczyk; Arthur D Kuo
Journal:  J Exp Biol       Date:  2013-04-11       Impact factor: 3.312

10.  Forward dynamics simulations provide insight into muscle mechanical work during human locomotion.

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