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A public dataset of overground and treadmill walking kinematics and kinetics in healthy individuals
In a typical clinical gait analysis, the gait patterns of pathological individuals are commonly compared with the typically faster, comfortable pace of healthy subjects. However, due to potential bias related to gait speed, this comparison may not be valid. Publicly available gait datasets have fail...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5922232/ https://www.ncbi.nlm.nih.gov/pubmed/29707431 http://dx.doi.org/10.7717/peerj.4640 |
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author | Fukuchi, Claudiane A. Fukuchi, Reginaldo K. Duarte, Marcos |
author_facet | Fukuchi, Claudiane A. Fukuchi, Reginaldo K. Duarte, Marcos |
author_sort | Fukuchi, Claudiane A. |
collection | PubMed |
description | In a typical clinical gait analysis, the gait patterns of pathological individuals are commonly compared with the typically faster, comfortable pace of healthy subjects. However, due to potential bias related to gait speed, this comparison may not be valid. Publicly available gait datasets have failed to address this issue. Therefore, the goal of this study was to present a publicly available dataset of 42 healthy volunteers (24 young adults and 18 older adults) who walked both overground and on a treadmill at a range of gait speeds. Their lower-extremity and pelvis kinematics were measured using a three-dimensional (3D) motion-capture system. The external forces during both overground and treadmill walking were collected using force plates and an instrumented treadmill, respectively. The results include both raw and processed kinematic and kinetic data in different file formats: c3d and ASCII files. In addition, a metadata file is provided that contain demographic and anthropometric data and data related to each file in the dataset. All data are available at Figshare (DOI: 10.6084/m9.figshare.5722711). We foresee several applications of this public dataset, including to examine the influences of speed, age, and environment (overground vs. treadmill) on gait biomechanics, to meet educational needs, and, with the inclusion of additional participants, to use as a normative dataset. |
format | Online Article Text |
id | pubmed-5922232 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59222322018-04-27 A public dataset of overground and treadmill walking kinematics and kinetics in healthy individuals Fukuchi, Claudiane A. Fukuchi, Reginaldo K. Duarte, Marcos PeerJ Bioengineering In a typical clinical gait analysis, the gait patterns of pathological individuals are commonly compared with the typically faster, comfortable pace of healthy subjects. However, due to potential bias related to gait speed, this comparison may not be valid. Publicly available gait datasets have failed to address this issue. Therefore, the goal of this study was to present a publicly available dataset of 42 healthy volunteers (24 young adults and 18 older adults) who walked both overground and on a treadmill at a range of gait speeds. Their lower-extremity and pelvis kinematics were measured using a three-dimensional (3D) motion-capture system. The external forces during both overground and treadmill walking were collected using force plates and an instrumented treadmill, respectively. The results include both raw and processed kinematic and kinetic data in different file formats: c3d and ASCII files. In addition, a metadata file is provided that contain demographic and anthropometric data and data related to each file in the dataset. All data are available at Figshare (DOI: 10.6084/m9.figshare.5722711). We foresee several applications of this public dataset, including to examine the influences of speed, age, and environment (overground vs. treadmill) on gait biomechanics, to meet educational needs, and, with the inclusion of additional participants, to use as a normative dataset. PeerJ Inc. 2018-04-24 /pmc/articles/PMC5922232/ /pubmed/29707431 http://dx.doi.org/10.7717/peerj.4640 Text en ©2018 Fukuchi 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, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioengineering Fukuchi, Claudiane A. Fukuchi, Reginaldo K. Duarte, Marcos A public dataset of overground and treadmill walking kinematics and kinetics in healthy individuals |
title | A public dataset of overground and treadmill walking kinematics and kinetics in healthy individuals |
title_full | A public dataset of overground and treadmill walking kinematics and kinetics in healthy individuals |
title_fullStr | A public dataset of overground and treadmill walking kinematics and kinetics in healthy individuals |
title_full_unstemmed | A public dataset of overground and treadmill walking kinematics and kinetics in healthy individuals |
title_short | A public dataset of overground and treadmill walking kinematics and kinetics in healthy individuals |
title_sort | public dataset of overground and treadmill walking kinematics and kinetics in healthy individuals |
topic | Bioengineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5922232/ https://www.ncbi.nlm.nih.gov/pubmed/29707431 http://dx.doi.org/10.7717/peerj.4640 |
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