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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...

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Detalles Bibliográficos
Autores principales: Dickmann , Thomas, Wilhelm, Nikolas J., Glowalla , Claudio, Haddadin , Sami, van der Smagt , Patrick, Burgkart , Rainer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
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.
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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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