Literature DB >> 19629252

Robot-assisted upper and lower limb rehabilitation after stroke: walking and arm/hand function.

Stefan Hesse, Jan Mehrholz, Cordula Werner.   

Abstract

INTRODUCTION: Robots help to intensify motor rehabilitation of the upper and lower limbs after stroke. This article presents controlled studies relating to this topic, and an overview.
METHODS: A search was carried out for relevant randomized controlled trials, published between 1980 and 2007, on Medline (PubMed), Embase, and CINHAL.
RESULTS: Two studies showed benefit for an electromechanical gait trainer, with significantly more patients resuming walking as compared to conventional physiotherapy. Two studies showed no evidence of benefit for an exoskeleton-based system. A pooled analysis was not conducted due to the small numbers of studies and high heterogeneity. In arm/hand rehabilitation a number of unilateral or bilateral end-effector based systems proved effective in patients with stroke, and a simple one-dimensional system and a passive exoskeleton system proved effective in patients with chronic symptoms. DISCUSSION: Robot-assisted motor rehabilitation after stroke appears promising. More trials, including comparative studies, are mandatory. The robot cannot be considered a substitute for the patient-therapist relationship.

Entities:  

Keywords:  hemiparesis; physiotherapy; rehabilitation; robotics; stroke

Year:  2008        PMID: 19629252      PMCID: PMC2707632          DOI: 10.3238/arztebl.2008.0330

Source DB:  PubMed          Journal:  Dtsch Arztebl Int        ISSN: 1866-0452            Impact factor:   5.594


  23 in total

1.  Computerized arm training improves the motor control of the severely affected arm after stroke: a single-blinded randomized trial in two centers.

Authors:  S Hesse; C Werner; M Pohl; S Rueckriem; J Mehrholz; M L Lingnau
Journal:  Stroke       Date:  2005-08-18       Impact factor: 7.914

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.  Robotic-assisted rehabilitation of the upper limb after acute stroke.

Authors:  Stefano Masiero; Andrea Celia; Giulio Rosati; Mario Armani
Journal:  Arch Phys Med Rehabil       Date:  2007-02       Impact factor: 3.966

4.  Restoration of gait in nonambulatory hemiparetic patients by treadmill training with partial body-weight support.

Authors:  S Hesse; C Bertelt; A Schaffrin; M Malezic; K H Mauritz
Journal:  Arch Phys Med Rehabil       Date:  1994-10       Impact factor: 3.966

5.  Development of an advanced mechanised gait trainer, controlling movement of the centre of mass, for restoring gait in non-ambulant subjects.

Authors:  S Hesse; T Sarkodie-Gyan; D Uhlenbrock
Journal:  Biomed Tech (Berl)       Date:  1999 Jul-Aug       Impact factor: 1.411

6.  Randomized, controlled trial to evaluate increased intensity of physiotherapy treatment of arm function after stroke.

Authors:  N B Lincoln; R H Parry; C D Vass
Journal:  Stroke       Date:  1999-03       Impact factor: 7.914

7.  Effect of constraint-induced movement therapy on upper extremity function 3 to 9 months after stroke: the EXCITE randomized clinical trial.

Authors:  Steven L Wolf; Carolee J Winstein; J Philip Miller; Edward Taub; Gitendra Uswatte; David Morris; Carol Giuliani; Kathye E Light; Deborah Nichols-Larsen
Journal:  JAMA       Date:  2006-11-01       Impact factor: 56.272

8.  Prospective, blinded, randomized crossover study of gait rehabilitation in stroke patients using the Lokomat gait orthosis.

Authors:  Andreas Mayr; Markus Kofler; Ellen Quirbach; Heinz Matzak; Katrin Fröhlich; Leopold Saltuari
Journal:  Neurorehabil Neural Repair       Date:  2007-05-02       Impact factor: 3.919

9.  Robot-assisted movement training compared with conventional therapy techniques for the rehabilitation of upper-limb motor function after stroke.

Authors:  Peter S Lum; Charles G Burgar; Peggy C Shor; Matra Majmundar; Machiel Van der Loos
Journal:  Arch Phys Med Rehabil       Date:  2002-07       Impact factor: 3.966

10.  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

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  12 in total

1.  [Arm laboratory for the severly affected arm after stroke: concept and first results].

Authors:  R Buschfort; A Hess; S Hesse
Journal:  Z Gerontol Geriatr       Date:  2009-08-16       Impact factor: 1.281

2.  The Improvement of Walking Ability Following Stroke.

Authors:  Jan Mehrholz; Marcus Pohl; Joachim Kugler; Bernhard Elsner
Journal:  Dtsch Arztebl Int       Date:  2018-09-28       Impact factor: 5.594

3.  A Single Session of Robot-Controlled Proprioceptive Training Modulates Functional Connectivity of Sensory Motor Networks and Improves Reaching Accuracy in Chronic Stroke.

Authors:  Shahabeddin Vahdat; Mohammed Darainy; Alexander Thiel; David J Ostry
Journal:  Neurorehabil Neural Repair       Date:  2018-12-29       Impact factor: 3.919

Review 4.  Robot-assisted gait training for stroke patients: current state of the art and perspectives of robotics.

Authors:  Giovanni Morone; Stefano Paolucci; Andrea Cherubini; Domenico De Angelis; Vincenzo Venturiero; Paola Coiro; Marco Iosa
Journal:  Neuropsychiatr Dis Treat       Date:  2017-05-15       Impact factor: 2.570

Review 5.  Systematic review with network meta-analysis of randomized controlled trials of robotic-assisted arm training for improving activities of daily living and upper limb function after stroke.

Authors:  Jan Mehrholz; Alex Pollock; Marcus Pohl; Joachim Kugler; Bernhard Elsner
Journal:  J Neuroeng Rehabil       Date:  2020-06-30       Impact factor: 4.262

6.  Introducing a feedback training system for guided home rehabilitation.

Authors:  Fabian Kohler; Thomas Schmitz-Rode; Catherine Disselhorst-Klug
Journal:  J Neuroeng Rehabil       Date:  2010-01-15       Impact factor: 4.262

7.  Active robotic training improves locomotor function in a stroke survivor.

Authors:  Chandramouli Krishnan; Rajiv Ranganathan; Shailesh S Kantak; Yasin Y Dhaher; William Z Rymer
Journal:  J Neuroeng Rehabil       Date:  2012-08-20       Impact factor: 4.262

8.  Decoding Sensorimotor Rhythms during Robotic-Assisted Treadmill Walking for Brain Computer Interface (BCI) Applications.

Authors:  Eliana García-Cossio; Marianne Severens; Bart Nienhuis; Jacques Duysens; Peter Desain; Nöel Keijsers; Jason Farquhar
Journal:  PLoS One       Date:  2015-12-16       Impact factor: 3.240

9.  A BMI-based occupational therapy assist suit: asynchronous control by SSVEP.

Authors:  Takeshi Sakurada; Toshihiro Kawase; Kouji Takano; Tomoaki Komatsu; Kenji Kansaku
Journal:  Front Neurosci       Date:  2013-09-23       Impact factor: 4.677

Review 10.  Systematic Review of Appropriate Robotic Intervention for Gait Function in Subacute Stroke Patients.

Authors:  Ji-Eun Cho; Jun Sang Yoo; Kyoung Eun Kim; Sung Tae Cho; Woo Seok Jang; Ki Hun Cho; Wan-Hee Lee
Journal:  Biomed Res Int       Date:  2018-02-06       Impact factor: 3.411

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