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Will Your Next Therapist Be a Robot?-A Review of the Advancements in Robotic Upper Extremity Rehabilitation

Overview
Journal Sensors (Basel)
Publisher MDPI
Specialty Biotechnology
Date 2023 Jun 10
PMID 37299781
Authors
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Abstract

Several recent studies have indicated that upper extremity injuries are classified as a top common workplace injury. Therefore, upper extremity rehabilitation has become a leading research area in the last few decades. However, this high number of upper extremity injuries is viewed as a challenging problem due to the insufficient number of physiotherapists. With the recent advancements in technology, robots have been widely involved in upper extremity rehabilitation exercises. Although robotic technology and its involvement in the rehabilitation field are rapidly evolving, the literature lacks a recent review that addresses the updates in the robotic upper extremity rehabilitation field. Thus, this paper presents a comprehensive review of state-of-the-art robotic upper extremity rehabilitation solutions, with a detailed classification of various rehabilitative robots. The paper also reports some experimental robotic trials and their outcomes in clinics.

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References
1.
Schabowsky C, Godfrey S, Holley R, Lum P . Development and pilot testing of HEXORR: hand EXOskeleton rehabilitation robot. J Neuroeng Rehabil. 2010; 7:36. PMC: 2920290. DOI: 10.1186/1743-0003-7-36. View

2.
Pohl P, McDowd J, Filion D, Richards L, Stiers W . Implicit learning of a motor skill after mild and moderate stroke. Clin Rehabil. 2006; 20(3):246-53. DOI: 10.1191/0269215506cr916oa. View

3.
Rodgers H, Bosomworth H, Krebs H, van Wijck F, Howel D, Wilson N . Robot assisted training for the upper limb after stroke (RATULS): a multicentre randomised controlled trial. Lancet. 2019; 394(10192):51-62. PMC: 6620612. DOI: 10.1016/S0140-6736(19)31055-4. View

4.
Collin C, Wade D, Davies S, Horne V . The Barthel ADL Index: a reliability study. Int Disabil Stud. 1988; 10(2):61-3. DOI: 10.3109/09638288809164103. View

5.
Mali U, Goljar N, Munih M . Application of haptic interface for finger exercise. IEEE Trans Neural Syst Rehabil Eng. 2006; 14(3):352-60. DOI: 10.1109/TNSRE.2006.881535. View