Literature DB >> 12760210

Robot-aided sensorimotor training in stroke rehabilitation.

Bruce T Volpe1, Hermano Igo Krebs, Neville Hogan.   

Abstract

The first groups to use robotic devices to enhance the sensorimotor experience of patients recovering from upper limb paralysis after stroke have generated encouraging information. Patient acceptance and staff enthusiasm for robot training at Burke--MIT is consistently high. Robot training data are consistent with other controlled studies showing that more activity leads to more motor improvement and decreased impairment. Therapists equipped with a robotic device can increase the amount and intensity of movement of the paralyzed limb without sacrificing time spent training complex functionally appropriate kinematics.

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Year:  2003        PMID: 12760210

Source DB:  PubMed          Journal:  Adv Neurol        ISSN: 0091-3952


  7 in total

Review 1.  Tele-Health and neurology: what is possible?

Authors:  Francesca Timpano; Lilla Bonanno; Alessia Bramanti; Fabio Pirrotta; Letteria Spadaro; Placido Bramanti; Pietro Lanzafame
Journal:  Neurol Sci       Date:  2013-02-21       Impact factor: 3.307

2.  Ankle training with a robotic device improves hemiparetic gait after a stroke.

Authors:  Larry W Forrester; Anindo Roy; Hermano Igo Krebs; Richard F Macko
Journal:  Neurorehabil Neural Repair       Date:  2010-11-29       Impact factor: 3.919

3.  Teaching Adult Rats Spinalized as Neonates to Walk Using Trunk Robotic Rehabilitation: Elements of Success, Failure, and Dependence.

Authors:  Ubong I Udoekwere; Chintan S Oza; Simon F Giszter
Journal:  J Neurosci       Date:  2016-08-10       Impact factor: 6.167

4.  Improved motor performance in chronic spinal cord injury following upper-limb robotic training.

Authors:  Mar Cortes; Jessica Elder; Avrielle Rykman; Lynda Murray; Manuel Avedissian; Argyrios Stampas; Gary W Thickbroom; Alvaro Pascual-Leone; Hermano Igo Krebs; Josep Valls-Sole; Dylan J Edwards
Journal:  NeuroRehabilitation       Date:  2013       Impact factor: 2.138

5.  Potential of a suite of robot/computer-assisted motivating systems for personalized, home-based, stroke rehabilitation.

Authors:  Michelle J Johnson; Xin Feng; Laura M Johnson; Jack M Winters
Journal:  J Neuroeng Rehabil       Date:  2007-03-01       Impact factor: 4.262

Review 6.  Time-interval for integration of stabilizing haptic and visual information in subjects balancing under static and dynamic conditions.

Authors:  Jean-Louis Honeine; Marco Schieppati
Journal:  Front Syst Neurosci       Date:  2014-10-06

7.  A Novel Robot-Aided Upper Limb Rehabilitation Training System Based on Multimodal Feedback.

Authors:  Lizheng Pan; Lu Zhao; Aiguo Song; Zeming Yin; Shigang She
Journal:  Front Robot AI       Date:  2019-11-08
  7 in total

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