Xu, D, Zhang, M, Sun, Y et al. (5 more authors) (2018) Development of a reconfigurable wrist rehabilitation device with an adaptive forearm holder. In: AIM 2018. 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 09-12 Jul 2018, Auckland, New Zealand. IEEE , pp. 454-459. ISBN 978-1-5386-1854-7
Abstract
This paper presents the development of a new and reconfigurable wrist rehabilitation device(WReD). This device can be reconfigured for various hand orientation trainings, including wrist flexion/extension, radial/ulnar deviation, and a combined motion of them. The WReD employs a motor for actuation of a single degree of freedom (DOFs). Its sensing components consist of an angle sensor and a torque sensor. An adaptive forearm holder is also proposed to compensate potential misalignment between the human wrist and the rotation axis of the device. Preliminary tests were conducted with healthy subjects to evaluate the WReD design and potential as a clinical tool for wrist rehabilitation. Quantitative and qualitative results were obtained from each participant. Results show that the WReD is able to deliver therapy training of wrist flexion/extension, radial/ulnar deviation, or a combined motion of them, with positive feedback from all participants. This demonstrates the great potential of the WReD for wrist rehabilitation in multiple orientations.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 IEEE. This is an author produced version of a paper published in 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Funding Information: | Funder Grant number Royal Academy of Engineering IAPP1R2\100056 |
Depositing User: | Symplectic Publications |
Date Deposited: | 25 Oct 2018 08:43 |
Last Modified: | 12 May 2019 19:47 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/AIM.2018.8452363 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:137529 |