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An Adaptive Mechatronic Exoskeleton for Force-Controlled Finger Rehabilitation
This paper presents a novel mechatronic exoskeleton architecture for finger rehabilitation. The system consists of an underactuated kinematic structure that enables the exoskeleton to act as an adaptive finger stimulator. The exoskeleton has sensors for motion detection and control. The proposed arc...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8514640/ https://www.ncbi.nlm.nih.gov/pubmed/34660703 http://dx.doi.org/10.3389/frobt.2021.716451 |
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author | Dickmann , Thomas Wilhelm, Nikolas J. Glowalla , Claudio Haddadin , Sami van der Smagt , Patrick Burgkart , Rainer |
author_facet | Dickmann , Thomas Wilhelm, Nikolas J. Glowalla , Claudio Haddadin , Sami van der Smagt , Patrick Burgkart , Rainer |
author_sort | Dickmann , Thomas |
collection | PubMed |
description | This paper presents a novel mechatronic exoskeleton architecture for finger rehabilitation. The system consists of an underactuated kinematic structure that enables the exoskeleton to act as an adaptive finger stimulator. The exoskeleton has sensors for motion detection and control. The proposed architecture offers three main advantages. First, the exoskeleton enables accurate quantification of subject-specific finger dynamics. The configuration of the exoskeleton can be fully reconstructed using measurements from three angular position sensors placed on the kinematic structure. In addition, the actuation force acting on the exoskeleton is recorded. Thus, the range of motion (ROM) and the force and torque trajectories of each finger joint can be determined. Second, the adaptive kinematic structure allows the patient to perform various functional tasks. The force control of the exoskeleton acts like a safeguard and limits the maximum possible joint torques during finger movement. Last, the system is compact, lightweight and does not require extensive peripherals. Due to its safety features, it is easy to use in the home. Applicability was tested in three healthy subjects. |
format | Online Article Text |
id | pubmed-8514640 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85146402021-10-15 An Adaptive Mechatronic Exoskeleton for Force-Controlled Finger Rehabilitation Dickmann , Thomas Wilhelm, Nikolas J. Glowalla , Claudio Haddadin , Sami van der Smagt , Patrick Burgkart , Rainer Front Robot AI Robotics and AI This paper presents a novel mechatronic exoskeleton architecture for finger rehabilitation. The system consists of an underactuated kinematic structure that enables the exoskeleton to act as an adaptive finger stimulator. The exoskeleton has sensors for motion detection and control. The proposed architecture offers three main advantages. First, the exoskeleton enables accurate quantification of subject-specific finger dynamics. The configuration of the exoskeleton can be fully reconstructed using measurements from three angular position sensors placed on the kinematic structure. In addition, the actuation force acting on the exoskeleton is recorded. Thus, the range of motion (ROM) and the force and torque trajectories of each finger joint can be determined. Second, the adaptive kinematic structure allows the patient to perform various functional tasks. The force control of the exoskeleton acts like a safeguard and limits the maximum possible joint torques during finger movement. Last, the system is compact, lightweight and does not require extensive peripherals. Due to its safety features, it is easy to use in the home. Applicability was tested in three healthy subjects. Frontiers Media S.A. 2021-09-30 /pmc/articles/PMC8514640/ /pubmed/34660703 http://dx.doi.org/10.3389/frobt.2021.716451 Text en Copyright © 2021 Dickmann , Wilhelm, Glowalla , Haddadin , van der Smagt and Burgkart . 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 | Robotics and AI Dickmann , Thomas Wilhelm, Nikolas J. Glowalla , Claudio Haddadin , Sami van der Smagt , Patrick Burgkart , Rainer An Adaptive Mechatronic Exoskeleton for Force-Controlled Finger Rehabilitation |
title | An Adaptive Mechatronic Exoskeleton for Force-Controlled Finger Rehabilitation |
title_full | An Adaptive Mechatronic Exoskeleton for Force-Controlled Finger Rehabilitation |
title_fullStr | An Adaptive Mechatronic Exoskeleton for Force-Controlled Finger Rehabilitation |
title_full_unstemmed | An Adaptive Mechatronic Exoskeleton for Force-Controlled Finger Rehabilitation |
title_short | An Adaptive Mechatronic Exoskeleton for Force-Controlled Finger Rehabilitation |
title_sort | adaptive mechatronic exoskeleton for force-controlled finger rehabilitation |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8514640/ https://www.ncbi.nlm.nih.gov/pubmed/34660703 http://dx.doi.org/10.3389/frobt.2021.716451 |
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