Metabolic cost calculations of gait using musculoskeletal energy models, a comparison study. Koelewijn, A. D., Heinrich, D., & van den Bogert, A. J. PloS One, 14(9):e0222037, 2019. doi abstract bibtex 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.
@article{koelewijn_metabolic_2019,
title = {Metabolic cost calculations of gait using musculoskeletal energy models, a comparison study},
volume = {14},
copyright = {All rights reserved},
issn = {1932-6203},
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.},
language = {eng},
number = {9},
journal = {PloS One},
author = {Koelewijn, Anne D. and Heinrich, Dieter and van den Bogert, Antonie J.},
year = {2019},
pmid = {31532796},
pmcid = {PMC6750598},
keywords = {Biomechanical Phenomena, Gait, Humans, Adult, Algorithms, Energy Metabolism, Female, Healthy Volunteers, Male, Models, Biological, Young Adult},
pages = {e0222037},
file = {Full Text:C\:\\Users\\Ton\\Zotero\\storage\\6WGBU7TN\\Koelewijn et al. - 2019 - Metabolic cost calculations of gait using musculos.pdf:application/pdf},
}
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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. 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