Literature DB >> 21330135

Mind your step: metabolic energy cost while walking an enforced gait pattern.

D Wezenberg1, A de Haan, C A M van Bennekom, H Houdijk.   

Abstract

The energy cost of walking could be attributed to energy related to the walking movement and energy related to balance control. In order to differentiate between both components we investigated the energy cost of walking an enforced step pattern, thereby perturbing balance while the walking movement is preserved. Nine healthy subjects walked three times at comfortable walking speed on an instrumented treadmill. The first trial consisted of unconstrained walking. In the next two trials, subject walked while following a step pattern projected on the treadmill. The steps projected were either composed of the averaged step characteristics (periodic trial), or were an exact copy including the variability of the steps taken while walking unconstrained (variable trial). Metabolic energy cost was assessed and center of pressure profiles were analyzed to determine task performance, and to gain insight into the balance control strategies applied. Results showed that the metabolic energy cost was significantly higher in both the periodic and variable trial (8% and 13%, respectively) compared to unconstrained walking. The variation in center of pressure trajectories during single limb support was higher when a gait pattern was enforced, indicating a more active ankle strategy. The increased metabolic energy cost could originate from increased preparatory muscle activation to ensure proper foot placement and a more active ankle strategy to control for lateral balance. These results entail that metabolic energy cost of walking can be influenced significantly by control strategies that do not necessary alter global gait characteristics.
Copyright © 2011 Elsevier B.V. All rights reserved.

Mesh:

Year:  2011        PMID: 21330135     DOI: 10.1016/j.gaitpost.2011.01.007

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  10 in total

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2.  Synchronization dynamics modulates stride-to-stride fluctuations when walking to an invariant but not to a fractal-like stimulus.

Authors:  João R Vaz; Boman R Groff; Douglas A Rowen; Brian A Knarr; Nicholas Stergiou
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3.  Do kinematic metrics of walking balance adapt to perturbed optical flow?

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4.  Contributions of muscles to mediolateral ground reaction force over a range of walking speeds.

Authors:  Chand T John; Ajay Seth; Michael H Schwartz; Scott L Delp
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5.  Postural threat during walking: effects on energy cost and accompanying gait changes.

Authors:  Trienke IJmker; Claudine J Lamoth; Han Houdijk; Lucas H V van der Woude; Peter J Beek
Journal:  J Neuroeng Rehabil       Date:  2014-04-22       Impact factor: 4.262

6.  Shotgun approaches to gait analysis: insights & limitations.

Authors:  Ronald G Kaptein; Daphne Wezenberg; Trienke IJmker; Han Houdijk; Peter J Beek; Claudine J C Lamoth; Andreas Daffertshofer
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7.  Muscle contributions to the acceleration of the whole body centre of mass during recovery from forward loss of balance by stepping in young and older adults.

Authors:  David F Graham; Christopher P Carty; David G Lloyd; Rod S Barrett
Journal:  PLoS One       Date:  2017-10-25       Impact factor: 3.240

8.  Altering Compliance of a Load Carriage Device in the Medial-Lateral Direction Reduces Peak Forces While Walking.

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Journal:  Sci Rep       Date:  2018-09-13       Impact factor: 4.379

Review 9.  Control of human gait stability through foot placement.

Authors:  Sjoerd M Bruijn; Jaap H van Dieën
Journal:  J R Soc Interface       Date:  2018-06       Impact factor: 4.118

10.  Outside testing of wearable robots for gait assistance shows a higher metabolic benefit than testing on treadmills.

Authors:  Florian Leander Haufe; Eléonore Gascou Duroyon; Peter Wolf; Robert Riener; Michele Xiloyannis
Journal:  Sci Rep       Date:  2021-07-21       Impact factor: 4.379

  10 in total

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