Gilson, O, Xie, S orcid.org/0000-0002-8082-9112 and O'Connor, RJ orcid.org/0000-0002-4643-9794 (2022) Design of a Wearable Bilateral Exoskeleton for Arm Stroke Treatment in a Home Environment. In: Proceedings of the 2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP). 2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP), 26-28 Nov 2021, Online. IEEE , pp. 635-640. ISBN 978-1-6654-3154-5
Abstract
With the number of stroke patients increasing every year, it is important that new ways of approaching rehabilitation are explored. This paper introduces a novel design for a bilateral exoskeleton that aims to allow patients more flexibility in how and where they are able to carry out their rehabilitation. The Bilateral Exoskeleton for Arm Stroke Treatment (BEAST), has been designed for patients to use independently in their own home. The focus of BEAST is to allow therapists to oversee the remote rehabilitation of more patients, effectively reducing waiting times and enabling patients more independence in their recovery process. This paper discusses the design of BEAST, including the kinematics, workspace and torque calculations. It also briefly touches on how the needs of patients can be included in the design and optimisation stages of BEAST.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 IEEE. 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. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Institute of Rheumatology & Musculoskeletal Medicine (LIRMM) (Leeds) > Rehabilitation Medicine (Leeds) |
Funding Information: | Funder Grant number Royal Society ICA\R1\180203 |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Apr 2022 14:19 |
Last Modified: | 13 Apr 2022 09:42 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/m2vip49856.2021.9665069 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:185596 |