Literature DB >> 24396811

Robot-assisted Therapy in Stroke Rehabilitation.

Won Hyuk Chang1, Yun-Hee Kim2.   

Abstract

Research into rehabilitation robotics has grown rapidly and the number of therapeutic rehabilitation robots has expanded dramatically during the last two decades. Robotic rehabilitation therapy can deliver high-dosage and high-intensity training, making it useful for patients with motor disorders caused by stroke or spinal cord disease. Robotic devices used for motor rehabilitation include end-effector and exoskeleton types; herein, we review the clinical use of both types. One application of robot-assisted therapy is improvement of gait function in patients with stroke. Both end-effector and the exoskeleton devices have proven to be effective complements to conventional physiotherapy in patients with subacute stroke, but there is no clear evidence that robotic gait training is superior to conventional physiotherapy in patients with chronic stroke or when delivered alone. In another application, upper limb motor function training in patients recovering from stroke, robot-assisted therapy was comparable or superior to conventional therapy in patients with subacute stroke. With end-effector devices, the intensity of therapy was the most important determinant of upper limb motor recovery. However, there is insufficient evidence for the use of exoskeleton devices for upper limb motor function in patients with stroke. For rehabilitation of hand motor function, either end-effector and exoskeleton devices showed similar or additive effects relative to conventional therapy in patients with chronic stroke. The present evidence supports the use of robot-assisted therapy for improving motor function in stroke patients as an additional therapeutic intervention in combination with the conventional rehabilitation therapies. Nevertheless, there will be substantial opportunities for technical development in near future.

Entities:  

Keywords:  Motor disorder; Rehabilitation; Robot-assisted therapy; Stroke

Year:  2013        PMID: 24396811      PMCID: PMC3859002          DOI: 10.5853/jos.2013.15.3.174

Source DB:  PubMed          Journal:  J Stroke        ISSN: 2287-6391            Impact factor:   6.967


  52 in total

1.  Response to upper-limb robotics and functional neuromuscular stimulation following stroke.

Authors:  Janis J Daly; Neville Hogan; Elizabeth M Perepezko; Hermano I Krebs; Jean M Rogers; Kanu S Goyal; Mark E Dohring; Eric Fredrickson; Joan Nethery; Robert L Ruff
Journal:  J Rehabil Res Dev       Date:  2005 Nov-Dec

2.  Repetitive locomotor training and physiotherapy improve walking and basic activities of daily living after stroke: a single-blind, randomized multicentre trial (DEutsche GAngtrainerStudie, DEGAS).

Authors:  M Pohl; C Werner; M Holzgraefe; G Kroczek; J Mehrholz; I Wingendorf; G Hoölig; R Koch; S Hesse
Journal:  Clin Rehabil       Date:  2007-01       Impact factor: 3.477

3.  Robot-based hand motor therapy after stroke.

Authors:  Craig D Takahashi; Lucy Der-Yeghiaian; Vu Le; Rehan R Motiwala; Steven C Cramer
Journal:  Brain       Date:  2007-12-20       Impact factor: 13.501

Review 4.  Stroke rehabilitation.

Authors:  Peter Langhorne; Julie Bernhardt; Gert Kwakkel
Journal:  Lancet       Date:  2011-05-14       Impact factor: 79.321

5.  Effectiveness of gait training using an electromechanical gait trainer, with and without functional electric stimulation, in subacute stroke: a randomized controlled trial.

Authors:  Raymond K Tong; Maple F Ng; Leonard S Li
Journal:  Arch Phys Med Rehabil       Date:  2006-10       Impact factor: 3.966

6.  Effect of gravity on robot-assisted motor training after chronic stroke: a randomized trial.

Authors:  Susan S Conroy; Jill Whitall; Laura Dipietro; Lauren M Jones-Lush; Min Zhan; Margaret A Finley; George F Wittenberg; Hermano I Krebs; Christopher T Bever
Journal:  Arch Phys Med Rehabil       Date:  2011-08-17       Impact factor: 3.966

7.  Does shorter rehabilitation limit potential recovery poststroke?

Authors:  Susan E Fasoli; Hermano I Krebs; Mark Ferraro; Neville Hogan; Bruce T Volpe
Journal:  Neurorehabil Neural Repair       Date:  2004-06       Impact factor: 3.919

8.  Can we improve gait skills in chronic hemiplegics? A randomised control trial with gait trainer.

Authors:  D Dias; J Laíns; A Pereira; R Nunes; J Caldas; C Amaral; S Pires; A Costa; P Alves; M Moreira; N Garrido; L Loureiro
Journal:  Eura Medicophys       Date:  2007-12

9.  Robot-assisted reaching exercise promotes arm movement recovery in chronic hemiparetic stroke: a randomized controlled pilot study.

Authors:  Leonard E Kahn; Michele L Zygman; W Zev Rymer; David J Reinkensmeyer
Journal:  J Neuroeng Rehabil       Date:  2006-06-21       Impact factor: 4.262

Review 10.  Stroke statistics in Korea: part I. Epidemiology and risk factors: a report from the korean stroke society and clinical research center for stroke.

Authors:  Keun-Sik Hong; Oh Young Bang; Dong-Wha Kang; Kyung-Ho Yu; Hee-Joon Bae; Jin Soo Lee; Ji Hoe Heo; Sun U Kwon; Chang Wan Oh; Byung-Chul Lee; Jong S Kim; Byung-Woo Yoon
Journal:  J Stroke       Date:  2013-01-31       Impact factor: 6.967

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  61 in total

Review 1.  Effects of technology-supported exercise programs on the knee pain, physical function, and quality of life of individuals with knee osteoarthritis and/or chronic knee pain: A systematic review and meta-analysis of randomized controlled trials.

Authors:  Tianrong Chen; Calvin Kalun Or; Jiayin Chen
Journal:  J Am Med Inform Assoc       Date:  2021-02-15       Impact factor: 4.497

2.  Increasing Access to Cost Effective Home-Based Rehabilitation for Rural Veteran Stroke Survivors.

Authors:  S N Housley; A R Garlow; K Ducote; A Howard; T Thomas; D Wu; K Richards; A J Butler
Journal:  Austin J Cerebrovasc Dis Stroke       Date:  2016-08-25

3.  Home-based technologies for stroke rehabilitation: A systematic review.

Authors:  Yu Chen; Kingsley Travis Abel; John T Janecek; Yunan Chen; Kai Zheng; Steven C Cramer
Journal:  Int J Med Inform       Date:  2018-12-11       Impact factor: 4.046

Review 4.  Efficacy of Overground Robotic Gait Training on Balance in Stroke Survivors: A Systematic Review and Meta-Analysis.

Authors:  Matteo Lorusso; Marco Tramontano; Matteo Casciello; Andrea Pece; Nicola Smania; Giovanni Morone; Federica Tamburella
Journal:  Brain Sci       Date:  2022-05-31

5.  Robot-assisted and traditional intensive rehabilitation therapy in the treatment of post-acute stroke patient: the experience of a standard rehabilitation ward.

Authors:  Mehrnaz Hamedani; Valeria Prada; Paola Tognetti; Valeria Leoni; Angelo Schenone
Journal:  Neurol Sci       Date:  2022-04-02       Impact factor: 3.830

6.  The Combined Use of Transcranial Direct Current Stimulation and Robotic Therapy for the Upper Limb.

Authors:  Marcus Yu Bin Pai; Thais Tavares Terranova; Marcel Simis; Felipe Fregni; Linamara Rizzo Battistella
Journal:  J Vis Exp       Date:  2018-09-23       Impact factor: 1.355

7.  Acute Ischemic Stroke: Current Status and Future Directions.

Authors:  Brandi R French; Raja S Boddepalli; Raghav Govindarajan
Journal:  Mo Med       Date:  2016 Nov-Dec

8.  Assist-As-Needed Exoskeleton for Hand Joint Rehabilitation Based on Muscle Effort Detection.

Authors:  Jenny Carolina Castiblanco; Ivan Fernando Mondragon; Catalina Alvarado-Rojas; Julian D Colorado
Journal:  Sensors (Basel)       Date:  2021-06-26       Impact factor: 3.576

9.  Effects of a wearable exoskeleton stride management assist system (SMA®) on spatiotemporal gait characteristics in individuals after stroke: a randomized controlled trial.

Authors:  Carolyn Buesing; Gabriela Fisch; Megan O'Donnell; Ida Shahidi; Lauren Thomas; Chaithanya K Mummidisetty; Kenton J Williams; Hideaki Takahashi; William Zev Rymer; Arun Jayaraman
Journal:  J Neuroeng Rehabil       Date:  2015-08-20       Impact factor: 4.262

10.  On the effect of walking surface stiffness on inter-limb coordination in human walking: toward bilaterally informed robotic gait rehabilitation.

Authors:  Jeffrey Skidmore; Panagiotis Artemiadis
Journal:  J Neuroeng Rehabil       Date:  2016-03-22       Impact factor: 4.262

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