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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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.
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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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