Literature DB >> 21674393

Robot-assisted upper-limb therapy in acute rehabilitation setting following stroke: Department of Veterans Affairs multisite clinical trial.

Charles G Burgar1, Peter S Lum, A M Erika Scremin, Susan L Garber, H F Machiel Van der Loos, Deborah Kenney, Peggy Shor.   

Abstract

This randomized, controlled, multisite Department of Veterans Affairs clinical trial assessed robot-assisted (RA) upper-limb therapy with the Mirror Image Movement Enabler (MIME) in the acute stroke rehabilitation setting. Hemiparetic subjects (n = 54) received RA therapy using MIME for either up to 15 hours (low-dose) or 30 hours (high-dose) or received up to 15 hours of additional conventional therapy in addition to usual care (control). The primary outcome measure was the Fugl-Meyer Assessment (FMA). The secondary outcome measures were the Functional Independence Measure (FIM), Wolf Motor Function Test, Motor Power, and Ashworth scores at intake, discharge, and 6-month follow-up. Mean duration of study treatment was 8.6, 15.8, and 9.4 hours for the low-dose, high-dose, and control groups, respectively. Gains in the primary outcome measure were not significantly different between groups at follow-up. Significant correlations were found at discharge between FMA gains and the dose and intensity of RA. Intensity also correlated with FMA gain at 6 months. The high-dose group had greater FIM gains than controls at discharge and greater tone but no difference in FIM changes compared with low-dose subjects at 6 months. As used during acute rehabilitation, motor-control changes at follow-up were no less with MIME than with additional conventional therapy. Intensity of training with MIME was positively correlated with motor-control gains.

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Mesh:

Year:  2011        PMID: 21674393     DOI: 10.1682/jrrd.2010.04.0062

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  38 in total

Review 1.  Effects of robot-assisted upper limb rehabilitation in stroke patients: a systematic review with meta-analysis.

Authors:  Rachele Bertani; Corrado Melegari; Maria C De Cola; Alessia Bramanti; Placido Bramanti; Rocco Salvatore Calabrò
Journal:  Neurol Sci       Date:  2017-05-24       Impact factor: 3.307

2.  Rehabilitation: machine recovery.

Authors:  Moheb Costandi
Journal:  Nature       Date:  2014-06-26       Impact factor: 49.962

Review 3.  How a diverse research ecosystem has generated new rehabilitation technologies: Review of NIDILRR's Rehabilitation Engineering Research Centers.

Authors:  David J Reinkensmeyer; Sarah Blackstone; Cathy Bodine; John Brabyn; David Brienza; Kevin Caves; Frank DeRuyter; Edmund Durfee; Stefania Fatone; Geoff Fernie; Steven Gard; Patricia Karg; Todd A Kuiken; Gerald F Harris; Mike Jones; Yue Li; Jordana Maisel; Michael McCue; Michelle A Meade; Helena Mitchell; Tracy L Mitzner; James L Patton; Philip S Requejo; James H Rimmer; Wendy A Rogers; W Zev Rymer; Jon A Sanford; Lawrence Schneider; Levin Sliker; Stephen Sprigle; Aaron Steinfeld; Edward Steinfeld; Gregg Vanderheiden; Carolee Winstein; Li-Qun Zhang; Thomas Corfman
Journal:  J Neuroeng Rehabil       Date:  2017-11-06       Impact factor: 4.262

Review 4.  Robot-assisted Therapy in Stroke Rehabilitation.

Authors:  Won Hyuk Chang; Yun-Hee Kim
Journal:  J Stroke       Date:  2013-09-27       Impact factor: 6.967

5.  Design and Interaction Control of a New Bilateral Upper-Limb Rehabilitation Device.

Authors:  Qing Miao; Mingming Zhang; Yupu Wang; Sheng Q Xie
Journal:  J Healthc Eng       Date:  2017-09-20       Impact factor: 2.682

Review 6.  Clinical application of a modular ankle robot for stroke rehabilitation.

Authors:  Larry W Forrester; Anindo Roy; Ronald N Goodman; Jeremy Rietschel; Joseph E Barton; Hermano Igo Krebs; Richard F Macko
Journal:  NeuroRehabilitation       Date:  2013       Impact factor: 2.138

7.  Is more better? Using metadata to explore dose-response relationships in stroke rehabilitation.

Authors:  Keith R Lohse; Catherine E Lang; Lara A Boyd
Journal:  Stroke       Date:  2014-05-27       Impact factor: 10.170

Review 8.  Electromechanical and robot-assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke.

Authors:  Jan Mehrholz; Marcus Pohl; Thomas Platz; Joachim Kugler; Bernhard Elsner
Journal:  Cochrane Database Syst Rev       Date:  2015-11-07

9.  Unilateral versus bilateral robot-assisted rehabilitation on arm-trunk control and functions post stroke: a randomized controlled trial.

Authors:  Ching-Yi Wu; Chieh-Ling Yang; Ming-de Chen; Keh-Chung Lin; Li-Ling Wu
Journal:  J Neuroeng Rehabil       Date:  2013-04-12       Impact factor: 4.262

10.  A systematic review of bilateral upper limb training devices for poststroke rehabilitation.

Authors:  A Lex E Q van Delden; C Lieke E Peper; Gert Kwakkel; Peter J Beek
Journal:  Stroke Res Treat       Date:  2012-11-29
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