Literature DB >> 14523729

Robotic devices for movement therapy after stroke: current status and challenges to clinical acceptance.

Peter Lum1, David Reinkensmeyer, Richard Mahoney, William Z Rymer, Charles Burgar.   

Abstract

Robotic devices for movement therapy are moving closer to becoming commercially available tools for aiding in stroke rehabilitation. Robotic technology offers a range of functions that will augment current clinical practice by leveraging therapists' time, cost effectively extending therapy programs, providing new measures of impairment, and offering new therapy protocols. In this article, we review work from several research laboratories that supports the clinical value of stroke therapy systems. A commercialization effort based on these results is described. We also discuss challenges to achieving clinical acceptance and practical implementation of these devices.

Entities:  

Year:  2002        PMID: 14523729     DOI: 10.1310/9KFM-KF81-P9A4-5WW0

Source DB:  PubMed          Journal:  Top Stroke Rehabil        ISSN: 1074-9357            Impact factor:   2.119


  26 in total

1.  Greater reliance on impedance control in the nondominant arm compared with the dominant arm when adapting to a novel dynamic environment.

Authors:  Christopher N Schabowsky; Joseph M Hidler; Peter S Lum
Journal:  Exp Brain Res       Date:  2007-07-05       Impact factor: 1.972

Review 2.  Sprouting, regeneration and circuit formation in the injured spinal cord: factors and activity.

Authors:  Irin C Maier; Martin E Schwab
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2006-09-29       Impact factor: 6.237

Review 3.  Position-sensing technologies for movement analysis in stroke rehabilitation.

Authors:  H Zheng; N D Black; N D Harris
Journal:  Med Biol Eng Comput       Date:  2005-07       Impact factor: 2.602

4.  A robotic system to train activities of daily living in a virtual environment.

Authors:  Marco Guidali; Alexander Duschau-Wicke; Simon Broggi; Verena Klamroth-Marganska; Tobias Nef; Robert Riener
Journal:  Med Biol Eng Comput       Date:  2011-07-28       Impact factor: 2.602

Review 5.  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

6.  Gains Across WHO Dimensions of Function After Robot-Based Therapy in Stroke Subjects.

Authors:  Jennifer Wu; Lucy Dodakian; Jill See; Erin Burke Quinlan; Lisa Meng; Jeby Abraham; Ellen C Wong; Vu Le; Alison McKenzie; Steven C Cramer
Journal:  Neurorehabil Neural Repair       Date:  2020-10-21       Impact factor: 3.919

7.  Systematic review of parameters of stimulation, clinical trial design characteristics, and motor outcomes in non-invasive brain stimulation in stroke.

Authors:  Bamidele O Adeyemo; Marcel Simis; Debora Duarte Macea; Felipe Fregni
Journal:  Front Psychiatry       Date:  2012-11-12       Impact factor: 4.157

Review 8.  Technology-assisted training of arm-hand skills in stroke: concepts on reacquisition of motor control and therapist guidelines for rehabilitation technology design.

Authors:  Annick A A Timmermans; Henk A M Seelen; Richard D Willmann; Herman Kingma
Journal:  J Neuroeng Rehabil       Date:  2009-01-20       Impact factor: 4.262

Review 9.  Embracing change: practical and theoretical considerations for successful implementation of technology assisting upper limb training in stroke.

Authors:  Ananda Hochstenbach-Waelen; Henk A M Seelen
Journal:  J Neuroeng Rehabil       Date:  2012-08-02       Impact factor: 4.262

10.  Muscle torques and joint accelerations provide more sensitive measures of poststroke movement deficits than joint angles.

Authors:  Ariel B Thomas; Erienne V Olesh; Amelia Adcock; Valeriya Gritsenko
Journal:  J Neurophysiol       Date:  2021-06-30       Impact factor: 2.974

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