Rehmat, N, Zuo, J, Meng, W orcid.org/0000-0003-0209-8753 et al. (3 more authors) (2018) Upper limb rehabilitation using robotic exoskeleton systems: a systematic review. International Journal of Intelligent Robotics and Applications, 2 (3). pp. 283-295. ISSN 2366-5971
Abstract
Exoskeleton assisted therapy has been reported as a significant reduction in impairment and gain in functional abilities of stroke patients. In this paper, we conduct a systematic review on the upper limb rehabilitation using robotic exoskeleton systems. This review is based on typical mechanical structures and control strategies for exoskeletons in clinical rehabilitation conditions. A variety of upper limb exoskeletons are classified and reviewed according to their rehabilitation joints. Special attentions are paid to the performance control strategies and mechanism designs in clinical trials and to promote the adaptability to different patients and conditions. Finally, we analyze and highlight the current research gaps and the future directions in this field. We intend to offer informative resources and reliable guidance for relevant researcher’s further studies, and exert a far-reaching influence on the development of advanced upper limb exoskeleton robotic systems.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © Springer Nature Singapore Pte Ltd. 2018. This is an author produced version of a paper published in International Journal of Intelligent Robotics and Applications. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Robot-assisted rehabilitation; Upper limb exoskeleton; Clinical trials |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) |
Funding Information: | Funder Grant number Royal Society ICA\R1\180203 |
Depositing User: | Symplectic Publications |
Date Deposited: | 23 Nov 2018 18:15 |
Last Modified: | 17 Aug 2019 01:05 |
Status: | Published |
Publisher: | Springer Nature |
Identification Number: | 10.1007/s41315-018-0064-8 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:137558 |