Literature DB >> 21779903

Assessing the effectiveness of robot facilitated neurorehabilitation for relearning motor skills following a stroke.

W S Harwin1, A Murgia, E K Stokes.   

Abstract

A growing awareness of the potential for machine-mediated neurorehabilitation has led to several novel concepts for delivering these therapies. To get from laboratory demonstrators and prototypes to the point where the concepts can be used by clinicians in practice still requires significant additional effort, not least in the requirement to assess and measure the impact of any proposed solution. To be widely accepted a study is required to use validated clinical measures but these tend to be subjective, costly to administer and may be insensitive to the effect of the treatment. Although this situation will not change, there is good reason to consider both clinical and mechanical assessments of recovery. This article outlines the problems in measuring the impact of an intervention and explores the concept of providing more mechanical assessment techniques and ultimately the possibility of combining the assessment process with aspects of the intervention.

Entities:  

Mesh:

Year:  2011        PMID: 21779903     DOI: 10.1007/s11517-011-0799-y

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  31 in total

1.  The cerebellum is involved in predicting the sensory consequences of action.

Authors:  S J Blakemore; C D Frith; D M Wolpert
Journal:  Neuroreport       Date:  2001-07-03       Impact factor: 1.837

2.  Brain repair after stroke.

Authors:  Steven C Cramer
Journal:  N Engl J Med       Date:  2010-04-16       Impact factor: 91.245

3.  Time-varying stiffness of human elbow joint during cyclic voluntary movement.

Authors:  D J Bennett; J M Hollerbach; Y Xu; I W Hunter
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

4.  Approaches to neuroprotective and reperfusion injury therapy.

Authors:  Michalis Papadakis; Alastair Buchan
Journal:  Handb Clin Neurol       Date:  2009

5.  Internal models in the cerebellum.

Authors:  D M Wolpert; R C Miall; M Kawato
Journal:  Trends Cogn Sci       Date:  1998-09-01       Impact factor: 20.229

6.  Identification of intrinsic and reflex contributions to human ankle stiffness dynamics.

Authors:  R E Kearney; R B Stein; L Parameswaran
Journal:  IEEE Trans Biomed Eng       Date:  1997-06       Impact factor: 4.538

7.  Family-mediated exercise intervention (FAME): evaluation of a novel form of exercise delivery after stroke.

Authors:  Rose Galvin; Tara Cusack; Eleanor O'Grady; Thomas Brendan Murphy; Emma Stokes
Journal:  Stroke       Date:  2011-01-13       Impact factor: 7.914

8.  Hemiparetic stroke impairs anticipatory control of arm movement.

Authors:  Craig D Takahashi; David J Reinkensmeyer
Journal:  Exp Brain Res       Date:  2003-01-30       Impact factor: 1.972

Review 9.  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

10.  A randomised controlled trial evaluating family mediated exercise (FAME) therapy following stroke.

Authors:  Rose Galvin; Tara Cusack; Emma Stokes
Journal:  BMC Neurol       Date:  2008-06-20       Impact factor: 2.474

View more
  2 in total

1.  Trends in rehabilitation robotics.

Authors:  Nicolas Garcia; Jose M Sabater-Navarro; E Gugliemeli; A Casals
Journal:  Med Biol Eng Comput       Date:  2011-09-30       Impact factor: 2.602

2.  A High-Level Control Algorithm Based on sEMG Signalling for an Elbow Joint SMA Exoskeleton.

Authors:  Dorin Copaci; David Serrano; Luis Moreno; Dolores Blanco
Journal:  Sensors (Basel)       Date:  2018-08-02       Impact factor: 3.576

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.