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Article ; Online: Effectiveness of Intelligent Control Strategies in Robot-Assisted Rehabilitation-A Systematic Review.

Felix Brown, Dexter / Quan Xie, Sheng

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society

2024  Volume 32, Page(s) 1828–1840

Abstract: This review aims to provide a systematic analysis of the literature focused on the use of intelligent control systems in robotics for physical rehabilitation, identifying trends in recent research and comparing the effectiveness of intelligence used in ... ...

Abstract This review aims to provide a systematic analysis of the literature focused on the use of intelligent control systems in robotics for physical rehabilitation, identifying trends in recent research and comparing the effectiveness of intelligence used in control, with the aim of determining important factors in robot-assisted rehabilitation and how intelligent controller design can improve them. Seven electronic research databases were searched for articles published in the years 2015 - 2022 with articles selected based on relevance to the subject area of intelligent control systems in rehabilitation robotics. It was found that the most common use of intelligent algorithms for control is improving traditional control strategies with optimization and learning techniques. Intelligent algorithms are also commonly used in sensor output mapping, model construction, and for various data learning purposes. Experimental results show that intelligent controllers consistently outperform non-intelligent controllers in terms of transparency, tracking accuracy, and adaptability. Active participation of the patients and lowered interaction forces are consistently mentioned as important factors in improving the rehabilitation outcome as well as the patient experience. However, there are limited examples of studies presenting experimental results with impaired participants suffering limited range of motion, so the effectiveness of therapy provided by these systems is often difficult to quantify. A lack of universal evaluation criteria also makes it difficult to compare control systems outside of articles which use their own comparison criteria.
MeSH term(s) Humans ; Robotics ; Algorithms ; Artificial Intelligence ; Rehabilitation/methods ; Rehabilitation/instrumentation ; Treatment Outcome
Language English
Publishing date 2024-05-10
Publishing country United States
Document type Systematic Review ; Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID 1166307-8
ISSN 1558-0210 ; 1063-6528 ; 1534-4320
ISSN (online) 1558-0210
ISSN 1063-6528 ; 1534-4320
DOI 10.1109/TNSRE.2024.3396065
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