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Human walking in the real world: Interactions between terrain type, gait parameters, and energy expenditure
Humans often traverse real-world environments with a variety of surface irregularities and inconsistencies, which can disrupt steady gait and require additional effort. Such effects have, however, scarcely been demonstrated quantitatively, because few laboratory biomechanical measures apply outdoors...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806134/ https://www.ncbi.nlm.nih.gov/pubmed/33439858 http://dx.doi.org/10.1371/journal.pone.0228682 |
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author | Kowalsky, Daniel B. Rebula, John R. Ojeda, Lauro V. Adamczyk, Peter G. Kuo, Arthur D. |
author_facet | Kowalsky, Daniel B. Rebula, John R. Ojeda, Lauro V. Adamczyk, Peter G. Kuo, Arthur D. |
author_sort | Kowalsky, Daniel B. |
collection | PubMed |
description | Humans often traverse real-world environments with a variety of surface irregularities and inconsistencies, which can disrupt steady gait and require additional effort. Such effects have, however, scarcely been demonstrated quantitatively, because few laboratory biomechanical measures apply outdoors. Walking can nevertheless be quantified by other means. In particular, the foot’s trajectory in space can be reconstructed from foot-mounted inertial measurement units (IMUs), to yield measures of stride and associated variabilities. But it remains unknown whether such measures are related to metabolic energy expenditure. We therefore quantified the effect of five different outdoor terrains on foot motion (from IMUs) and net metabolic rate (from oxygen consumption) in healthy adults (N = 10; walking at 1.25 m/s). Energy expenditure increased significantly (P < 0.05) in the order Sidewalk, Dirt, Gravel, Grass, and Woodchips, with Woodchips about 27% costlier than Sidewalk. Terrain type also affected measures, particularly stride variability and virtual foot clearance (swing foot’s lowest height above consecutive footfalls). In combination, such measures can also roughly predict metabolic cost (adjusted R(2) = 0.52, partial least squares regression), and even discriminate between terrain types (10% reclassification error). Body-worn sensors can characterize how uneven terrain affects gait, gait variability, and metabolic cost in the real world. |
format | Online Article Text |
id | pubmed-7806134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-78061342021-01-25 Human walking in the real world: Interactions between terrain type, gait parameters, and energy expenditure Kowalsky, Daniel B. Rebula, John R. Ojeda, Lauro V. Adamczyk, Peter G. Kuo, Arthur D. PLoS One Research Article Humans often traverse real-world environments with a variety of surface irregularities and inconsistencies, which can disrupt steady gait and require additional effort. Such effects have, however, scarcely been demonstrated quantitatively, because few laboratory biomechanical measures apply outdoors. Walking can nevertheless be quantified by other means. In particular, the foot’s trajectory in space can be reconstructed from foot-mounted inertial measurement units (IMUs), to yield measures of stride and associated variabilities. But it remains unknown whether such measures are related to metabolic energy expenditure. We therefore quantified the effect of five different outdoor terrains on foot motion (from IMUs) and net metabolic rate (from oxygen consumption) in healthy adults (N = 10; walking at 1.25 m/s). Energy expenditure increased significantly (P < 0.05) in the order Sidewalk, Dirt, Gravel, Grass, and Woodchips, with Woodchips about 27% costlier than Sidewalk. Terrain type also affected measures, particularly stride variability and virtual foot clearance (swing foot’s lowest height above consecutive footfalls). In combination, such measures can also roughly predict metabolic cost (adjusted R(2) = 0.52, partial least squares regression), and even discriminate between terrain types (10% reclassification error). Body-worn sensors can characterize how uneven terrain affects gait, gait variability, and metabolic cost in the real world. Public Library of Science 2021-01-13 /pmc/articles/PMC7806134/ /pubmed/33439858 http://dx.doi.org/10.1371/journal.pone.0228682 Text en © 2021 Kowalsky et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Kowalsky, Daniel B. Rebula, John R. Ojeda, Lauro V. Adamczyk, Peter G. Kuo, Arthur D. Human walking in the real world: Interactions between terrain type, gait parameters, and energy expenditure |
title | Human walking in the real world: Interactions between terrain type, gait parameters, and energy expenditure |
title_full | Human walking in the real world: Interactions between terrain type, gait parameters, and energy expenditure |
title_fullStr | Human walking in the real world: Interactions between terrain type, gait parameters, and energy expenditure |
title_full_unstemmed | Human walking in the real world: Interactions between terrain type, gait parameters, and energy expenditure |
title_short | Human walking in the real world: Interactions between terrain type, gait parameters, and energy expenditure |
title_sort | human walking in the real world: interactions between terrain type, gait parameters, and energy expenditure |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806134/ https://www.ncbi.nlm.nih.gov/pubmed/33439858 http://dx.doi.org/10.1371/journal.pone.0228682 |
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