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A kinematic and kinetic dataset of 18 above-knee amputees walking at various speeds
Motion capture is necessary to quantify gait deviations in individuals with lower-limb amputations. However, access to the patient population and the necessary equipment is limited. Here we present the first open biomechanics dataset for 18 individuals with unilateral above-knee amputations walking...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7242470/ https://www.ncbi.nlm.nih.gov/pubmed/32439980 http://dx.doi.org/10.1038/s41597-020-0494-7 |
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author | Hood, Sarah Ishmael, Marshall K. Gunnell, Andrew Foreman, K. B. Lenzi, Tommaso |
author_facet | Hood, Sarah Ishmael, Marshall K. Gunnell, Andrew Foreman, K. B. Lenzi, Tommaso |
author_sort | Hood, Sarah |
collection | PubMed |
description | Motion capture is necessary to quantify gait deviations in individuals with lower-limb amputations. However, access to the patient population and the necessary equipment is limited. Here we present the first open biomechanics dataset for 18 individuals with unilateral above-knee amputations walking at different speeds. Based on their ability to comfortably walk at 0.8 m/s, subjects were divided into two groups, namely K2 and K3. The K2 group walked at [0.4, 0.5, 0.6, 0.7, 0.8] m/s; the K3 group walked at [0.6, 0.8, 1.0, 1.2, 1.4] m/s. Full-body biomechanics was collected using a 10-camera motion capture system and a fully instrumented treadmill. The presented open dataset will enable (i) clinicians to understand the biomechanical demand required to walk with a knee and ankle prosthesis at various speeds, (ii) researchers in biomechanics to gain new insights into the gait deviations of individuals with above-knee amputations, and (iii) engineers to improve prosthesis design and function. |
format | Online Article Text |
id | pubmed-7242470 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72424702020-06-04 A kinematic and kinetic dataset of 18 above-knee amputees walking at various speeds Hood, Sarah Ishmael, Marshall K. Gunnell, Andrew Foreman, K. B. Lenzi, Tommaso Sci Data Data Descriptor Motion capture is necessary to quantify gait deviations in individuals with lower-limb amputations. However, access to the patient population and the necessary equipment is limited. Here we present the first open biomechanics dataset for 18 individuals with unilateral above-knee amputations walking at different speeds. Based on their ability to comfortably walk at 0.8 m/s, subjects were divided into two groups, namely K2 and K3. The K2 group walked at [0.4, 0.5, 0.6, 0.7, 0.8] m/s; the K3 group walked at [0.6, 0.8, 1.0, 1.2, 1.4] m/s. Full-body biomechanics was collected using a 10-camera motion capture system and a fully instrumented treadmill. The presented open dataset will enable (i) clinicians to understand the biomechanical demand required to walk with a knee and ankle prosthesis at various speeds, (ii) researchers in biomechanics to gain new insights into the gait deviations of individuals with above-knee amputations, and (iii) engineers to improve prosthesis design and function. Nature Publishing Group UK 2020-05-21 /pmc/articles/PMC7242470/ /pubmed/32439980 http://dx.doi.org/10.1038/s41597-020-0494-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Hood, Sarah Ishmael, Marshall K. Gunnell, Andrew Foreman, K. B. Lenzi, Tommaso A kinematic and kinetic dataset of 18 above-knee amputees walking at various speeds |
title | A kinematic and kinetic dataset of 18 above-knee amputees walking at various speeds |
title_full | A kinematic and kinetic dataset of 18 above-knee amputees walking at various speeds |
title_fullStr | A kinematic and kinetic dataset of 18 above-knee amputees walking at various speeds |
title_full_unstemmed | A kinematic and kinetic dataset of 18 above-knee amputees walking at various speeds |
title_short | A kinematic and kinetic dataset of 18 above-knee amputees walking at various speeds |
title_sort | kinematic and kinetic dataset of 18 above-knee amputees walking at various speeds |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7242470/ https://www.ncbi.nlm.nih.gov/pubmed/32439980 http://dx.doi.org/10.1038/s41597-020-0494-7 |
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