Gallagher, JF orcid.org/0000-0002-3341-175X, Sivan, M orcid.org/0000-0002-0334-2968 and Levesley, M (2022) Making Best Use of Home-Based Rehabilitation Robots. Applied Sciences, 12 (4). 1996. ISSN 2076-3417
Abstract
Large-scale clinical trials have shown that rehabilitation robots are as affective as conventional therapy, but the cost-effectiveness is preventing their uptake. This study investigated whether a low-cost rehabilitation robot could be deployed in a home setting for rehabilitation of people recovering from stroke (n = 16) and whether clinical outcome measures correlated well with kinematic measures gathered by the robot. The results support the feasibility of patients independently using the robot with improvement in both clinical measures and kinematic data. We recommend using kinematic data early in an intervention to detect improvement while using a robotic device. The kinematic measures in the assessment task (hits/minute and normalised jerk) adequately pick up changes within a four-week period, thus allowing the rehabilitation regime to be adapted to suit the user’s needs. Estimating the long-term clinical benefit must be explored in future research.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 by the authors. This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/) |
Keywords: | rehabilitation robotics; kinematics; upper limb; stroke |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Systems and Design (iESD) (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) |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Mar 2022 15:18 |
Last Modified: | 07 Mar 2022 15:18 |
Status: | Published |
Publisher: | MDPI |
Identification Number: | 10.3390/app12041996 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:184360 |