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A novel Dynamic Body Weight Support overground co-walker enabling variable unloading ratio and Motion Tracking
Dynamic Body Weight Support (BWS) systems have gained attention in recent years for their potential in gait training. However, maintaining a natural gait and vertical unloading have been less explored. In our previous work, we developed a body Motion Tracking (MT) walker that can move with patients....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10285068/ https://www.ncbi.nlm.nih.gov/pubmed/37360168 http://dx.doi.org/10.3389/fnins.2023.1188776 |
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author | Zhang, Xiaoqian Shang, Peng Li, Bing |
author_facet | Zhang, Xiaoqian Shang, Peng Li, Bing |
author_sort | Zhang, Xiaoqian |
collection | PubMed |
description | Dynamic Body Weight Support (BWS) systems have gained attention in recent years for their potential in gait training. However, maintaining a natural gait and vertical unloading have been less explored. In our previous work, we developed a body Motion Tracking (MT) walker that can move with patients. In this study, we introduce a novel Motion Tracking Variable Body Weight Support (MTVBWS) system for overground walkers. This system utilizes Center of Mass (COM) tracking and gait phase detection to not only dynamically support the user's body weight in the vertical direction but also to facilitate movement in all directions. The system achieves this horizontal omnidirectional movement by employing active Mecanum wheels, guided by COM recognition. The validation experiments were implemented with the MT mode, passive mode, and BWS mode in “static,” “fixed unloading ratio (FUR),” and “variable unloading ratio (VUR)” settings with unloading force of 20 and 30%. The result shows that, compared to other modes, the proposed system in the MTVBWS mode can reduce the dragging effect in the horizontal plane caused by the walker. Moreover, the unloading force can be adjusted automatically to minimize the fluctuations in the force experienced by each lower limb during the rehabilitation walking training process. In comparison to natural walk, this mode presents smaller force fluctuations for each lower limb. |
format | Online Article Text |
id | pubmed-10285068 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102850682023-06-23 A novel Dynamic Body Weight Support overground co-walker enabling variable unloading ratio and Motion Tracking Zhang, Xiaoqian Shang, Peng Li, Bing Front Neurosci Neuroscience Dynamic Body Weight Support (BWS) systems have gained attention in recent years for their potential in gait training. However, maintaining a natural gait and vertical unloading have been less explored. In our previous work, we developed a body Motion Tracking (MT) walker that can move with patients. In this study, we introduce a novel Motion Tracking Variable Body Weight Support (MTVBWS) system for overground walkers. This system utilizes Center of Mass (COM) tracking and gait phase detection to not only dynamically support the user's body weight in the vertical direction but also to facilitate movement in all directions. The system achieves this horizontal omnidirectional movement by employing active Mecanum wheels, guided by COM recognition. The validation experiments were implemented with the MT mode, passive mode, and BWS mode in “static,” “fixed unloading ratio (FUR),” and “variable unloading ratio (VUR)” settings with unloading force of 20 and 30%. The result shows that, compared to other modes, the proposed system in the MTVBWS mode can reduce the dragging effect in the horizontal plane caused by the walker. Moreover, the unloading force can be adjusted automatically to minimize the fluctuations in the force experienced by each lower limb during the rehabilitation walking training process. In comparison to natural walk, this mode presents smaller force fluctuations for each lower limb. Frontiers Media S.A. 2023-06-08 /pmc/articles/PMC10285068/ /pubmed/37360168 http://dx.doi.org/10.3389/fnins.2023.1188776 Text en Copyright © 2023 Zhang, Shang and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Zhang, Xiaoqian Shang, Peng Li, Bing A novel Dynamic Body Weight Support overground co-walker enabling variable unloading ratio and Motion Tracking |
title | A novel Dynamic Body Weight Support overground co-walker enabling variable unloading ratio and Motion Tracking |
title_full | A novel Dynamic Body Weight Support overground co-walker enabling variable unloading ratio and Motion Tracking |
title_fullStr | A novel Dynamic Body Weight Support overground co-walker enabling variable unloading ratio and Motion Tracking |
title_full_unstemmed | A novel Dynamic Body Weight Support overground co-walker enabling variable unloading ratio and Motion Tracking |
title_short | A novel Dynamic Body Weight Support overground co-walker enabling variable unloading ratio and Motion Tracking |
title_sort | novel dynamic body weight support overground co-walker enabling variable unloading ratio and motion tracking |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10285068/ https://www.ncbi.nlm.nih.gov/pubmed/37360168 http://dx.doi.org/10.3389/fnins.2023.1188776 |
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