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Human Factor Engineering Research for Rehabilitation Robots: A Systematic Review

The application of human factors engineering for rehabilitation robots is based on a “human-centered” design philosophy that strives to provide safe and efficient human-robot interaction training for patients rather than depending on rehabilitation therapists. Human factors engineering for rehabilit...

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Detalles Bibliográficos
Autores principales: Song, Duanshu, Liu, Songyong, Gao, Yixuan, Huang, Yuexin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925240/
https://www.ncbi.nlm.nih.gov/pubmed/36793706
http://dx.doi.org/10.1155/2023/2052231
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author Song, Duanshu
Liu, Songyong
Gao, Yixuan
Huang, Yuexin
author_facet Song, Duanshu
Liu, Songyong
Gao, Yixuan
Huang, Yuexin
author_sort Song, Duanshu
collection PubMed
description The application of human factors engineering for rehabilitation robots is based on a “human-centered” design philosophy that strives to provide safe and efficient human-robot interaction training for patients rather than depending on rehabilitation therapists. Human factors engineering for rehabilitation robots is undergoing preliminary investigation. However, the depth and breadth of current research do not provide a complete human factor engineering solution for developing rehabilitation robots. This study aims to provide a systematic review of research at the intersection of rehabilitation robotics and ergonomics to understand the progress and state-of-the-art research on critical human factors, issues, and corresponding solutions for rehabilitation robots. A total of 496 relevant studies were obtained from six scientific database searches, reference searches, and citation-tracking strategies. After applying the selection criteria and reading the full text of each study, 21 studies were selected for review and classified into four categories based on their human factor objectives: implementation of high safety, implementation of lightweight and high comfort, implementation of high human-robot interaction, and performance evaluation index and system studies. Based on the results of the studies, recommendations for future research are presented and discussed.
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spelling pubmed-99252402023-02-14 Human Factor Engineering Research for Rehabilitation Robots: A Systematic Review Song, Duanshu Liu, Songyong Gao, Yixuan Huang, Yuexin Comput Intell Neurosci Review Article The application of human factors engineering for rehabilitation robots is based on a “human-centered” design philosophy that strives to provide safe and efficient human-robot interaction training for patients rather than depending on rehabilitation therapists. Human factors engineering for rehabilitation robots is undergoing preliminary investigation. However, the depth and breadth of current research do not provide a complete human factor engineering solution for developing rehabilitation robots. This study aims to provide a systematic review of research at the intersection of rehabilitation robotics and ergonomics to understand the progress and state-of-the-art research on critical human factors, issues, and corresponding solutions for rehabilitation robots. A total of 496 relevant studies were obtained from six scientific database searches, reference searches, and citation-tracking strategies. After applying the selection criteria and reading the full text of each study, 21 studies were selected for review and classified into four categories based on their human factor objectives: implementation of high safety, implementation of lightweight and high comfort, implementation of high human-robot interaction, and performance evaluation index and system studies. Based on the results of the studies, recommendations for future research are presented and discussed. Hindawi 2023-02-06 /pmc/articles/PMC9925240/ /pubmed/36793706 http://dx.doi.org/10.1155/2023/2052231 Text en Copyright © 2023 Duanshu Song et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Song, Duanshu
Liu, Songyong
Gao, Yixuan
Huang, Yuexin
Human Factor Engineering Research for Rehabilitation Robots: A Systematic Review
title Human Factor Engineering Research for Rehabilitation Robots: A Systematic Review
title_full Human Factor Engineering Research for Rehabilitation Robots: A Systematic Review
title_fullStr Human Factor Engineering Research for Rehabilitation Robots: A Systematic Review
title_full_unstemmed Human Factor Engineering Research for Rehabilitation Robots: A Systematic Review
title_short Human Factor Engineering Research for Rehabilitation Robots: A Systematic Review
title_sort human factor engineering research for rehabilitation robots: a systematic review
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925240/
https://www.ncbi.nlm.nih.gov/pubmed/36793706
http://dx.doi.org/10.1155/2023/2052231
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