Literature DB >> 21543990

Robot-mediated upper limb physiotherapy: review and recommendations for future clinical trials.

Orsolya Péter1, Gábor Fazekas, Katalin Zsiga, Zoltán Dénes.   

Abstract

Robot-mediated physiotherapy provides a new possibility for improving the outcome of rehabilitation of patients who are recovering from stroke. This study is a review of robot-supported upper limb physiotherapy focusing on the shoulder, elbow, and wrist. A literature search was carried out in PubMed, OVID, and EBSCO for clinical trials with robots providing shoulder, elbow, or wrist therapy. Results concerning motor control, spasticity, functional outcome, and the main features of the studies were evaluated. A total of 178 papers were found. On the basis of inclusion/exclusion criteria, 30 studies remained for evaluation. In these trials, a total of 493 patients received robot-aided therapy. The Fugl-Meyer assessment was the most commonly used motor scale, and in 24 of 27 trials, motor function improved significantly. The application of the Modified Ashworth Scale showed that spasticity decreased significantly in nine of 21 trials. Functional scales were only examined in one-third of the studies with significant changes being found in half of them. The intensity and duration of the interventions as well as the elapsed time poststroke were varied. There are several scales, which were used in only a few trials. Unifying the methodology in robotic trials is desirable. Clarification of the acute/subacute/chronic categories, standardizing the application of certain scales for outcome measure in each trial, use of functional scales, and a clearer description of the interventions are recommended.

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Mesh:

Year:  2011        PMID: 21543990     DOI: 10.1097/MRR.0b013e328346e8ad

Source DB:  PubMed          Journal:  Int J Rehabil Res        ISSN: 0342-5282            Impact factor:   1.479


  13 in total

Review 1.  Interventions for improving upper limb function after stroke.

Authors:  Alex Pollock; Sybil E Farmer; Marian C Brady; Peter Langhorne; Gillian E Mead; Jan Mehrholz; Frederike van Wijck
Journal:  Cochrane Database Syst Rev       Date:  2014-11-12

2.  Decrease of spasticity after hybrid assistive limb® training for a patient with C4 quadriplegia due to chronic SCI.

Authors:  Akira Ikumi; Shigeki Kubota; Yukiyo Shimizu; Hideki Kadone; Aiki Marushima; Tomoyuki Ueno; Hiroaki Kawamoto; Yasushi Hada; Akira Matsumura; Yoshiyuki Sankai; Masashi Yamazaki
Journal:  J Spinal Cord Med       Date:  2016-10-20       Impact factor: 1.985

3.  The Present and Future of Robotic Technology in Rehabilitation.

Authors:  Jeffrey Laut; Maurizio Porfiri; Preeti Raghavan
Journal:  Curr Phys Med Rehabil Rep       Date:  2016-11-19

Review 4.  Robotic technologies and rehabilitation: new tools for stroke patients' therapy.

Authors:  Patrizia Poli; Giovanni Morone; Giulio Rosati; Stefano Masiero
Journal:  Biomed Res Int       Date:  2013-11-20       Impact factor: 3.411

5.  The Effects of Upper-Limb Training Assisted with an Electromyography-Driven Neuromuscular Electrical Stimulation Robotic Hand on Chronic Stroke.

Authors:  Chingyi Nam; Wei Rong; Waiming Li; Yunong Xie; Xiaoling Hu; Yongping Zheng
Journal:  Front Neurol       Date:  2017-12-14       Impact factor: 4.003

6.  Exercising daily living activities in robot-mediated therapy.

Authors:  Orsolya Peter; Ibolya Tavaszi; Andras Toth; Gabor Fazekas
Journal:  J Phys Ther Sci       Date:  2017-05-16

7.  Effects of combining robot-assisted therapy with neuromuscular electrical stimulation on motor impairment, motor and daily function, and quality of life in patients with chronic stroke: a double-blinded randomized controlled trial.

Authors:  Ya-yun Lee; Keh-chung Lin; Hsiao-ju Cheng; Ching-yi Wu; Yu-wei Hsieh; Chih-kuang Chen
Journal:  J Neuroeng Rehabil       Date:  2015-10-31       Impact factor: 4.262

8.  Can force feedback and science learning enhance the effectiveness of neuro-rehabilitation? An experimental study on using a low-cost 3D joystick and a virtual visit to a zoo.

Authors:  Paolo Cappa; Andrea Clerico; Oded Nov; Maurizio Porfiri
Journal:  PLoS One       Date:  2013-12-13       Impact factor: 3.240

9.  Accelerometry measuring the outcome of robot-supported upper limb training in chronic stroke: a randomized controlled trial.

Authors:  Ryanne J M Lemmens; Annick A A Timmermans; Yvonne J M Janssen-Potten; Sanne A N T D Pulles; Richard P J Geers; Wilbert G M Bakx; Rob J E M Smeets; Henk A M Seelen
Journal:  PLoS One       Date:  2014-05-13       Impact factor: 3.240

Review 10.  Training modalities in robot-mediated upper limb rehabilitation in stroke: a framework for classification based on a systematic review.

Authors:  Angelo Basteris; Sharon M Nijenhuis; Arno H A Stienen; Jaap H Buurke; Gerdienke B Prange; Farshid Amirabdollahian
Journal:  J Neuroeng Rehabil       Date:  2014-07-10       Impact factor: 4.262

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