Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/153179
Title: Exoskeletal devices for hand assistance and rehabilitation : a comprehensive analysis of state-of-the-art technologies
Authors: Noronha, Bernardo
Accoto, Dino
Keywords: Engineering::Mechanical engineering::Robots
Issue Date: 2021
Source: Noronha, B. & Accoto, D. (2021). Exoskeletal devices for hand assistance and rehabilitation : a comprehensive analysis of state-of-the-art technologies. IEEE Transactions On Medical Robotics and Bionics, 3(2), 525-538. https://dx.doi.org/10.1109/TMRB.2021.3064412
Project: SERC1922500046
001587-00001
Journal: IEEE Transactions on Medical Robotics and Bionics
Abstract: Robots are effective tools for aiding in the restoration of hand function through rehabilitation programs or by providing in-task assistance. To date, a multitude of exoskeletal devices employing distinct technologies have been proposed, making navigating this field a challenging task. To this end, we propose a set of classification criteria to help categorize devices. In this review, a set of 97 publications representing 72 active exoskeletal devices for hand assistance and rehabilitation is analysed. Furthermore, the distribution over the years within each of the criteria is presented. Results show clear trends, such as preferring underactuated devices, electrical transducers with flexible transmission or the more recent uptake of soft technologies. Lastly, the readiness level of hand exoskeleton technology is presented in terms of the whole device and each of the identified sub-classifications. Most of the devices are still in laboratory testing phase, undergoing healthy subject trials or limited clinical trials, with very few having actually reached the market. We hope to provide researchers with a comprehensive analysis of currently employed design choices in hand exoskeletons, highlighting the most developed avenues of research and the latest emerging ones.
URI: https://hdl.handle.net/10356/153179
ISSN: 2576-3202
DOI: 10.1109/TMRB.2021.3064412
Schools: School of Mechanical and Aerospace Engineering 
Research Centres: Robotics Research Centre 
Rights: © 2021 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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