Literature DB >> 18356591

A comparison of functional and impairment-based robotic training in severe to moderate chronic stroke: a pilot study.

Hermano Igo Krebs1, Stephen Mernoff, Susan E Fasoli, Richard Hughes, Joel Stein, Neville Hogan.   

Abstract

OBJECTIVE: To compare the outcome of training the functional movement of transport of the arm and grasping an object with the alternative of training the transport of the arm in isolation.
DESIGN: Pretest-posttest comparison.
SETTING: Rehabilitation hospitals, outpatient care. PARTICIPANTS: Volunteer sample of forty-seven persons with persistent hemiparesis from a single, unilateral stroke within the past one to five years. INTERVENTION: Robotic therapy 3 x/week for 6 weeks for the paretic upper limb consisted of either a) sensorimotor, active-assistive impairment-based exercise during repetitive planar reaching tasks, or b) a "free-hand" approach, in which the robot assisted subjects employing the sensorimotor active-assistive exercise to transport the hand to a series of targets, where it stopped to allow the person to interact with actual objects (functional approach 1), or c) transport and manipulation, in which the robot assisted subjects employing active-assistive exercise during repetitive planar reaching tasks while grasping a simulated object and releasing it at the target or followed by grasp and release of a simulated object (functional approach 2). PRIMARY OUTCOME MEASURE: Fugl-Meyer Assessment.
RESULTS: All three groups improved from pre- to post-treatment with the sensorimotor impairment based approach demonstrating the best outcome of the three approaches.
CONCLUSIONS: Short-term, goal-directed robotic therapy can significantly improve motor abilities of the exercised limb segments in persons with chronic stroke, but contrary to expectation, training both the transport of the arm and manipulation of an object (functionally-based approaches) did not confer any advantage over training solely transport of the arm (impairment-based approach).

Entities:  

Mesh:

Year:  2008        PMID: 18356591      PMCID: PMC4692808     

Source DB:  PubMed          Journal:  NeuroRehabilitation        ISSN: 1053-8135            Impact factor:   2.138


  17 in total

1.  A novel approach to stroke rehabilitation: robot-aided sensorimotor stimulation.

Authors:  B T Volpe; H I Krebs; N Hogan; L Edelstein OTR; C Diels; M Aisen
Journal:  Neurology       Date:  2000-05-23       Impact factor: 9.910

2.  Comparison of two techniques of robot-aided upper limb exercise training after stroke.

Authors:  Joel Stein; Hermano Igo Krebs; Walter R Frontera; Susan E Fasoli; Richard Hughes; Neville Hogan
Journal:  Am J Phys Med Rehabil       Date:  2004-09       Impact factor: 2.159

Review 3.  Systematic review of the effect of robot-aided therapy on recovery of the hemiparetic arm after stroke.

Authors:  Gerdienke B Prange; Michiel J A Jannink; Catharina G M Groothuis-Oudshoorn; Hermie J Hermens; Maarten J Ijzerman
Journal:  J Rehabil Res Dev       Date:  2006 Mar-Apr

4.  Robot-aided neurorehabilitation.

Authors:  H I Krebs; N Hogan; M L Aisen; B T Volpe
Journal:  IEEE Trans Rehabil Eng       Date:  1998-03

5.  Quantization of continuous arm movements in humans with brain injury.

Authors:  H I Krebs; M L Aisen; B T Volpe; N Hogan
Journal:  Proc Natl Acad Sci U S A       Date:  1999-04-13       Impact factor: 11.205

Review 6.  Effects of robot-assisted therapy on upper limb recovery after stroke: a systematic review.

Authors:  Gert Kwakkel; Boudewijn J Kollen; Hermano I Krebs
Journal:  Neurorehabil Neural Repair       Date:  2007-09-17       Impact factor: 3.919

7.  Movement smoothness changes during stroke recovery.

Authors:  Brandon Rohrer; Susan Fasoli; Hermano Igo Krebs; Richard Hughes; Bruce Volpe; Walter R Frontera; Joel Stein; Neville Hogan
Journal:  J Neurosci       Date:  2002-09-15       Impact factor: 6.167

8.  Robotic therapy for chronic motor impairments after stroke: Follow-up results.

Authors:  Susan E Fasoli; Hermano I Krebs; Joel Stein; Walter R Frontera; Richard Hughes; Neville Hogan
Journal:  Arch Phys Med Rehabil       Date:  2004-07       Impact factor: 3.966

9.  Changing motor synergies in chronic stroke.

Authors:  L Dipietro; H I Krebs; S E Fasoli; B T Volpe; J Stein; C Bever; N Hogan
Journal:  J Neurophysiol       Date:  2007-06-06       Impact factor: 2.714

10.  Robot-aided neurorehabilitation: from evidence-based to science-based rehabilitation.

Authors:  H I Krebs; B T Volpe; M Ferraro; S Fasoli; J Palazzolo; B Rohrer; L Edelstein; N Hogan
Journal:  Top Stroke Rehabil       Date:  2002       Impact factor: 2.119

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  43 in total

1.  Single degree-of-freedom exoskeleton mechanism design for finger rehabilitation.

Authors:  Eric T Wolbrecht; David J Reinkensmeyer; Alba Perez-Gracia
Journal:  IEEE Int Conf Rehabil Robot       Date:  2011

2.  Integrated versus isolated training of the hemiparetic upper extremity in haptically rendered virtual environments.

Authors:  Qinyin Qiu; Gerard G Fluet; Soha Saleh; Ian Lafond; Alma S Merians; Sergei V Adamovich
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

3.  Incorporating haptic effects into three-dimensional virtual environments to train the hemiparetic upper extremity.

Authors:  Sergei V Adamovich; Gerard G Fluet; Alma S Merians; Abraham Mathai; Qinyin Qiu
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-08-07       Impact factor: 3.802

4.  Pilot study to test effectiveness of video game on reaching performance in stroke.

Authors:  Ana Maria Acosta; Hendrik A Dewald; Jules P A Dewald
Journal:  J Rehabil Res Dev       Date:  2011

5.  Long-term Rehabilitation in Patients With Acquired Brain Injury.

Authors:  Andreas Bender; Christine Adrion; Luzia Fischer; Martin Huber; Kerstin Jawny; Andreas Straube; Ulrich Mansmann
Journal:  Dtsch Arztebl Int       Date:  2016-09-23       Impact factor: 5.594

6.  Learning, not adaptation, characterizes stroke motor recovery: evidence from kinematic changes induced by robot-assisted therapy in trained and untrained task in the same workspace.

Authors:  L Dipietro; H I Krebs; B T Volpe; J Stein; C Bever; S T Mernoff; S E Fasoli; N Hogan
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2011-12-16       Impact factor: 3.802

7.  The New Jersey Institute of Technology Robot-Assisted Virtual Rehabilitation (NJIT-RAVR) system for children with cerebral palsy: a feasibility study.

Authors:  Qinyin Qiu; Diego A Ramirez; Soha Saleh; Gerard G Fluet; Heta D Parikh; Donna Kelly; Sergei V Adamovich
Journal:  J Neuroeng Rehabil       Date:  2009-11-16       Impact factor: 4.262

Review 8.  Robotic neurorehabilitation: a computational motor learning perspective.

Authors:  Vincent S Huang; John W Krakauer
Journal:  J Neuroeng Rehabil       Date:  2009-02-25       Impact factor: 4.262

Review 9.  Review of control strategies for robotic movement training after neurologic injury.

Authors:  Laura Marchal-Crespo; David J Reinkensmeyer
Journal:  J Neuroeng Rehabil       Date:  2009-06-16       Impact factor: 4.262

10.  Effects of intensive arm training with the rehabilitation robot ARMin II in chronic stroke patients: four single-cases.

Authors:  Patricia Staubli; Tobias Nef; Verena Klamroth-Marganska; Robert Riener
Journal:  J Neuroeng Rehabil       Date:  2009-12-17       Impact factor: 4.262

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