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An Asian-centric human movement database capturing activities of daily living
Assessment of human movement performance in activities of daily living (ADL) is a key component in clinical and rehabilitation settings. Motion capture technology is an effective method for objective assessment of human movement. Existing databases capture human movement and ADL performance primaril...
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/PMC7479610/ https://www.ncbi.nlm.nih.gov/pubmed/32901007 http://dx.doi.org/10.1038/s41597-020-00627-7 |
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author | Liang, Phyllis Kwong, Wai Hang Sidarta, Ananda Yap, Choon Kong Tan, Wee Kiat Lim, Lek Syn Chan, Pui Yee Kuah, Christopher Wee Keong Wee, Seng Kwee Chua, Karen Quek, Colin Ang, Wei Tech |
author_facet | Liang, Phyllis Kwong, Wai Hang Sidarta, Ananda Yap, Choon Kong Tan, Wee Kiat Lim, Lek Syn Chan, Pui Yee Kuah, Christopher Wee Keong Wee, Seng Kwee Chua, Karen Quek, Colin Ang, Wei Tech |
author_sort | Liang, Phyllis |
collection | PubMed |
description | Assessment of human movement performance in activities of daily living (ADL) is a key component in clinical and rehabilitation settings. Motion capture technology is an effective method for objective assessment of human movement. Existing databases capture human movement and ADL performance primarily in the Western population, and there are no Asian databases to date. This is despite the fact that Asian anthropometrics influence movement kinematics and kinetics. This paper details the protocol in the first phase of the largest Asian normative human movement database. Data collection has commenced, and this paper reports 10 healthy participants. Twelve tasks were performed and data was collected using Qualisys motion capture system, force plates and instrumented table and chair. In phase two, human movement of individuals with stroke and knee osteoarthritis will be captured. This can have great potential for benchmarking with the normative human movement captured in phase one and predicting recovery and progression of movement for patients. With individualised progression, it will offer the development of personalised therapy protocols in rehabilitation. |
format | Online Article Text |
id | pubmed-7479610 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74796102020-09-21 An Asian-centric human movement database capturing activities of daily living Liang, Phyllis Kwong, Wai Hang Sidarta, Ananda Yap, Choon Kong Tan, Wee Kiat Lim, Lek Syn Chan, Pui Yee Kuah, Christopher Wee Keong Wee, Seng Kwee Chua, Karen Quek, Colin Ang, Wei Tech Sci Data Data Descriptor Assessment of human movement performance in activities of daily living (ADL) is a key component in clinical and rehabilitation settings. Motion capture technology is an effective method for objective assessment of human movement. Existing databases capture human movement and ADL performance primarily in the Western population, and there are no Asian databases to date. This is despite the fact that Asian anthropometrics influence movement kinematics and kinetics. This paper details the protocol in the first phase of the largest Asian normative human movement database. Data collection has commenced, and this paper reports 10 healthy participants. Twelve tasks were performed and data was collected using Qualisys motion capture system, force plates and instrumented table and chair. In phase two, human movement of individuals with stroke and knee osteoarthritis will be captured. This can have great potential for benchmarking with the normative human movement captured in phase one and predicting recovery and progression of movement for patients. With individualised progression, it will offer the development of personalised therapy protocols in rehabilitation. Nature Publishing Group UK 2020-09-08 /pmc/articles/PMC7479610/ /pubmed/32901007 http://dx.doi.org/10.1038/s41597-020-00627-7 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 Liang, Phyllis Kwong, Wai Hang Sidarta, Ananda Yap, Choon Kong Tan, Wee Kiat Lim, Lek Syn Chan, Pui Yee Kuah, Christopher Wee Keong Wee, Seng Kwee Chua, Karen Quek, Colin Ang, Wei Tech An Asian-centric human movement database capturing activities of daily living |
title | An Asian-centric human movement database capturing activities of daily living |
title_full | An Asian-centric human movement database capturing activities of daily living |
title_fullStr | An Asian-centric human movement database capturing activities of daily living |
title_full_unstemmed | An Asian-centric human movement database capturing activities of daily living |
title_short | An Asian-centric human movement database capturing activities of daily living |
title_sort | asian-centric human movement database capturing activities of daily living |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7479610/ https://www.ncbi.nlm.nih.gov/pubmed/32901007 http://dx.doi.org/10.1038/s41597-020-00627-7 |
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