Metabolic cost calculations of gait using musculoskeletal energy models, a comparison study

Koelewijn A, Heinrich D, van den Bogert AJ (2019)

Publication Type: Journal article

Publication year: 2019

Journal

PLoS ONE Public Library of Science

Book Volume: 14

Article Number: e0222037

Journal Issue: 9

DOI: 10.1371/journal.pone.0222037

Abstract

This paper compares predictions of metabolic energy expenditure in gait using seven metabolic energy expenditure models to assess their correlation with experimental data. Ground reaction forces, marker data, and pulmonary gas exchange data were recorded for six walking trials at combinations of two speeds, 0.8 m/s and 1.3 m/s, and three inclines, -8% (downhill), level, and 8% (uphill). The metabolic cost, calculated with the metabolic energy models was compared to the metabolic cost from the pulmonary gas exchange rates. A repeated measures correlation showed that all models correlated well with experimental data, with correlations of at least 0.9. The model by Bhargava et al. (J Biomech, 2004: 81-88) and the model by Lichtwark and Wilson (J Exp Biol, 2005: 2831-3843) had the highest correlation, 0.95. The model by Margaria (Int Z Angew Physiol Einschl Arbeitsphysiol, 1968: 339-351) predicted the increase in metabolic cost following a change in dynamics best in absolute terms.

Authors with CRIS profile

Anne Koelewijn Juniorprofessur für Informatik (Stiftungsprofessur)

Additional Organisation(s)

Juniorprofessur für Computational Movement Science (Stiftungsprofessur)

Involved external institutions

Cleveland State University US United States (USA) (US) Leopold-Franzens-Universität Innsbruck / University of Innsbruck AT Austria (AT)

How to cite

APA:

Koelewijn, A., Heinrich, D., & van den Bogert, A.J. (2019). Metabolic cost calculations of gait using musculoskeletal energy models, a comparison study. PLoS ONE, 14(9). https://dx.doi.org/10.1371/journal.pone.0222037

MLA:

Koelewijn, Anne, Dieter Heinrich, and Antonie J. van den Bogert. "Metabolic cost calculations of gait using musculoskeletal energy models, a comparison study." PLoS ONE 14.9 (2019).

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