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Gait dataset of 14 Syrian above-knee amputees and 20 healthy subjects

This Gait dataset is essential for studying motion, evaluating prosthesis effects, and improving the design of prosthetic components to meet the needs for daily life in low-income countries where advanced prosthesis are limited. This dataset contains the gait parameters of 14 above-knee prosthesis u...

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Detalles Bibliográficos
Autores principales: Hussain, Rufaida, Marmar, Zouheir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449166/
https://www.ncbi.nlm.nih.gov/pubmed/34568526
http://dx.doi.org/10.1016/j.dib.2021.107365
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author Hussain, Rufaida
Marmar, Zouheir
author_facet Hussain, Rufaida
Marmar, Zouheir
author_sort Hussain, Rufaida
collection PubMed
description This Gait dataset is essential for studying motion, evaluating prosthesis effects, and improving the design of prosthetic components to meet the needs for daily life in low-income countries where advanced prosthesis are limited. This dataset contains the gait parameters of 14 above-knee prosthesis users (5 female, 9 male) with different passive prosthetic components and 20 healthy participants (10 male, 10 female). The data are spatio-temporal parameters, lower limb joints angles and moments in the sagittal plane, and ground reaction force components. These data were acquired using 6 video cameras (BTS SMART-D) and 2 Kistler force plates in the biomechanics lab at Damascus University. The acquisition process of data follows Davis et al. protocol for clinical gait analysis. It was divided into three main steps: subject preparation, raw data acquisition, and gait parameters calculation. The online repository containing the files is Mendeley Data: [http://dx.doi.org/10.17632/k5y9jkx87y.1]
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spelling pubmed-84491662021-09-24 Gait dataset of 14 Syrian above-knee amputees and 20 healthy subjects Hussain, Rufaida Marmar, Zouheir Data Brief Data Article This Gait dataset is essential for studying motion, evaluating prosthesis effects, and improving the design of prosthetic components to meet the needs for daily life in low-income countries where advanced prosthesis are limited. This dataset contains the gait parameters of 14 above-knee prosthesis users (5 female, 9 male) with different passive prosthetic components and 20 healthy participants (10 male, 10 female). The data are spatio-temporal parameters, lower limb joints angles and moments in the sagittal plane, and ground reaction force components. These data were acquired using 6 video cameras (BTS SMART-D) and 2 Kistler force plates in the biomechanics lab at Damascus University. The acquisition process of data follows Davis et al. protocol for clinical gait analysis. It was divided into three main steps: subject preparation, raw data acquisition, and gait parameters calculation. The online repository containing the files is Mendeley Data: [http://dx.doi.org/10.17632/k5y9jkx87y.1] Elsevier 2021-09-13 /pmc/articles/PMC8449166/ /pubmed/34568526 http://dx.doi.org/10.1016/j.dib.2021.107365 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Hussain, Rufaida
Marmar, Zouheir
Gait dataset of 14 Syrian above-knee amputees and 20 healthy subjects
title Gait dataset of 14 Syrian above-knee amputees and 20 healthy subjects
title_full Gait dataset of 14 Syrian above-knee amputees and 20 healthy subjects
title_fullStr Gait dataset of 14 Syrian above-knee amputees and 20 healthy subjects
title_full_unstemmed Gait dataset of 14 Syrian above-knee amputees and 20 healthy subjects
title_short Gait dataset of 14 Syrian above-knee amputees and 20 healthy subjects
title_sort gait dataset of 14 syrian above-knee amputees and 20 healthy subjects
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449166/
https://www.ncbi.nlm.nih.gov/pubmed/34568526
http://dx.doi.org/10.1016/j.dib.2021.107365
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