Literature DB >> 9645538

Standard mechanical energy analyses do not correlate with muscle work in cycling.

R R Neptune1, A J van den Bogert.   

Abstract

The goal of this study was to assess the utility of experimental methods to quantify mechanical energy expenditure (MEE) in human movement. To achieve this goal, a theoretical model of steady-state cycling driven by individual muscle actuators was used to produce two distinct pedal simulations. The simulations yielded the same pedaling rate and power output, but one reduced the MEE by avoiding eccentric muscle contractions. Contractile element force and length change in the individual muscles was used to quantify the total positive and negative work produced by the muscles. Three methods using external measurements were applied to the simulated movement. The three methods to quantify MEE were based on: (1) segment kinematic measurements, (2) work done by total joint powers and (3) intercompensated joint powers, i.e. negative work from one joint is transferred to an adjacent joint where energy is being generated (positive work) via biarticular muscles. The results showed that none of the MEE analyses were correlated to the MEE of the individual muscles, with errors reaching 40%. Errors were mainly attributed to the inability of the MEE methods to account for co-contractions of antagonistic muscle groups. This phenomenon occurred primarily when one muscle generated force during activation while the antagonist generated force during deactivation.

Entities:  

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Year:  1998        PMID: 9645538     DOI: 10.1016/s0021-9290(97)00129-2

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


  11 in total

1.  The relationships between muscle, external, internal and joint mechanical work during normal walking.

Authors:  Kotaro Sasaki; Richard R Neptune; Steven A Kautz
Journal:  J Exp Biol       Date:  2009-03       Impact factor: 3.312

2.  Exploring the mechanical basis for acceleration: pelvic limb locomotor function during accelerations in racing greyhounds (Canis familiaris).

Authors:  S B Williams; J R Usherwood; K Jespers; A J Channon; A M Wilson
Journal:  J Exp Biol       Date:  2009-02       Impact factor: 3.312

3.  Flexing computational muscle: modeling and simulation of musculotendon dynamics.

Authors:  Matthew Millard; Thomas Uchida; Ajay Seth; Scott L Delp
Journal:  J Biomech Eng       Date:  2013-02       Impact factor: 2.097

4.  Author's Response to Comment on "Contributions of the individual ankle plantar flexors to support, forward progression and swing initiation during walking" (Neptune et al., 2001) and "Muscle mechanical work requirements during normal walking: The energetic cost of raising the body's center-of-mass is significant" ().

Authors:  Richard R Neptune; Felix E Zajac; Steven A Kautz
Journal:  J Biomech       Date:  2009-08-07       Impact factor: 2.712

5.  Cycling with Short Crank Lengths Improved Economy in Novices.

Authors:  Boe M Burrus; Jessie Armendariz; Brian M Moscicki
Journal:  Int J Exerc Sci       Date:  2021-09-01

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

Authors:  Richard R Neptune; Craig P McGowan; Steven A Kautz
Journal:  Exerc Sport Sci Rev       Date:  2009-10       Impact factor: 6.230

7.  Impaired interlimb coordination is related to asymmetries during pedaling after stroke.

Authors:  Brice T Cleland; Tamicah Gelting; Brett Arand; Jan Struhar; Sheila Schindler-Ivens
Journal:  Clin Neurophysiol       Date:  2019-06-21       Impact factor: 3.708

8.  Lower-limb muscle function is influenced by changing mechanical demands in cycling.

Authors:  Adrian K M Lai; Taylor J M Dick; Nicholas A T Brown; Andrew A Biewener; James M Wakeling
Journal:  J Exp Biol       Date:  2021-02-02       Impact factor: 3.312

9.  A biomechanical cause of low power production during FES cycling of subjects with SCI.

Authors:  Johann Szecsi; Andreas Straube; Che Fornusek
Journal:  J Neuroeng Rehabil       Date:  2014-08-16       Impact factor: 4.262

10.  Do Surface Slope and Posture Influence Lower Extremity Joint Kinetics during Cycling?

Authors:  Yunqi Tang; Donghai Wang; Yong Wang; Keyi Yin; Cui Zhang; Limin Zou; Yu Liu
Journal:  Int J Environ Res Public Health       Date:  2020-04-21       Impact factor: 3.390

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