Meng, W. orcid.org/0000-0003-0209-8753, Zhu, C., Liu, H. orcid.org/0009-0005-2000-9859 et al. (2 more authors) (2024) Soft Ankle-Foot Exoskeleton for Rehabilitation: A Systematic Review of Actuation, Sensing, Mechanical Design, and Control Strategy. IEEE Transactions on Medical Robotics and Bionics, 6 (2). 384 -398. ISSN 2576-3202
Abstract
Robot-assisted rehabilitation therapy has become a mainstream trend for the treatment of stroke patients. It can not only relieve physiotherapists from heavy physical duties, but also provide patients with effective ankle-foot rehabilitation and walking assistance. Soft ankle-foot exoskeletons have rapidly evolved in the last decade. This article presents a compressive review of soft ankle-foot exoskeletons in terms of robot actuation, wearable sensor, mechanical design, and control strategy. Representative commercial and laboratory ankle-foot exoskeletons are demonstrated. Special attention is paid to the emerging soft actuators, wearable sensing techniques, and human-in-the-loop and hierarchical control methods. Finally, essential challenges and possible future directions are also analyzed and highlighted in this paper, which can provide reliable guidance on the development of next-generation soft ankle-foot exoskeletons.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 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. |
Keywords: | Soft ankle-foot exoskeleton, actuation, mechanical design, control strategy |
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) |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 May 2024 09:14 |
Last Modified: | 03 May 2024 09:14 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Identification Number: | 10.1109/tmrb.2024.3385798 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:212203 |