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A full-body motion capture gait dataset of 138 able-bodied adults across the life span and 50 stroke survivors
This reference dataset contains biomechanical data of 138 able-bodied adults (21–86 years) and 50 stroke survivors walking bare-footed at their preferred speed. It is unique due to its size, and population, including adults across the life-span and over 70 years, as well as stroke survivors. Full-bo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10692332/ https://www.ncbi.nlm.nih.gov/pubmed/38040770 http://dx.doi.org/10.1038/s41597-023-02767-y |
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author | Van Criekinge, Tamaya Saeys, Wim Truijen, Steven Vereeck, Luc Sloot, Lizeth H. Hallemans, Ann |
author_facet | Van Criekinge, Tamaya Saeys, Wim Truijen, Steven Vereeck, Luc Sloot, Lizeth H. Hallemans, Ann |
author_sort | Van Criekinge, Tamaya |
collection | PubMed |
description | This reference dataset contains biomechanical data of 138 able-bodied adults (21–86 years) and 50 stroke survivors walking bare-footed at their preferred speed. It is unique due to its size, and population, including adults across the life-span and over 70 years, as well as stroke survivors. Full-body kinematics (PiG-model), kinetics and muscle activity of 14 back and lower limbs muscles was collected with a Vicon motion capture system, ground-embedded force plates, and a synchronized surface EMG system. The data is reliable to compare within and between groups as the same methodology and infrastructure were used to gather all data. Both source files (C3D) and post-processed ready-to-use stride-normalized kinematics, kinetics and EMG data (MAT-file, Excel file) are available, allowing high flexibility and accessibility of analysis for both researchers and clinicians. These records are valuable to examine ageing, typical and hemiplegic gait, while also offering a wide range of reference data which can be utilized for age-matched controls during normal walking. |
format | Online Article Text |
id | pubmed-10692332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106923322023-12-03 A full-body motion capture gait dataset of 138 able-bodied adults across the life span and 50 stroke survivors Van Criekinge, Tamaya Saeys, Wim Truijen, Steven Vereeck, Luc Sloot, Lizeth H. Hallemans, Ann Sci Data Data Descriptor This reference dataset contains biomechanical data of 138 able-bodied adults (21–86 years) and 50 stroke survivors walking bare-footed at their preferred speed. It is unique due to its size, and population, including adults across the life-span and over 70 years, as well as stroke survivors. Full-body kinematics (PiG-model), kinetics and muscle activity of 14 back and lower limbs muscles was collected with a Vicon motion capture system, ground-embedded force plates, and a synchronized surface EMG system. The data is reliable to compare within and between groups as the same methodology and infrastructure were used to gather all data. Both source files (C3D) and post-processed ready-to-use stride-normalized kinematics, kinetics and EMG data (MAT-file, Excel file) are available, allowing high flexibility and accessibility of analysis for both researchers and clinicians. These records are valuable to examine ageing, typical and hemiplegic gait, while also offering a wide range of reference data which can be utilized for age-matched controls during normal walking. Nature Publishing Group UK 2023-12-01 /pmc/articles/PMC10692332/ /pubmed/38040770 http://dx.doi.org/10.1038/s41597-023-02767-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Van Criekinge, Tamaya Saeys, Wim Truijen, Steven Vereeck, Luc Sloot, Lizeth H. Hallemans, Ann A full-body motion capture gait dataset of 138 able-bodied adults across the life span and 50 stroke survivors |
title | A full-body motion capture gait dataset of 138 able-bodied adults across the life span and 50 stroke survivors |
title_full | A full-body motion capture gait dataset of 138 able-bodied adults across the life span and 50 stroke survivors |
title_fullStr | A full-body motion capture gait dataset of 138 able-bodied adults across the life span and 50 stroke survivors |
title_full_unstemmed | A full-body motion capture gait dataset of 138 able-bodied adults across the life span and 50 stroke survivors |
title_short | A full-body motion capture gait dataset of 138 able-bodied adults across the life span and 50 stroke survivors |
title_sort | full-body motion capture gait dataset of 138 able-bodied adults across the life span and 50 stroke survivors |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10692332/ https://www.ncbi.nlm.nih.gov/pubmed/38040770 http://dx.doi.org/10.1038/s41597-023-02767-y |
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