Literature DB >> 20189810

Effects of virtual reality training on gait biomechanics of individuals post-stroke.

Anat Mirelman1, Benjamin L Patritti, Paolo Bonato, Judith E Deutsch.   

Abstract

OBJECTIVE: To evaluate gait biomechanics after training with a virtual reality (VR) system and to elucidate underlying mechanisms that contributed to the observed functional improvement in gait speed and distance.
DESIGN: A single blind randomized control study.
SETTING: Gait analysis laboratory in a rehabilitation hospital and the community. PARTICIPANTS: Fifteen men and three women with hemiparesis caused by stroke.
INTERVENTIONS: Subjects trained on a six-degree of freedom force-feedback robot interfaced with a VR simulation. Subjects were randomized to either a VR group (n=9) or non-VR group (NVR, n=9). Training was performed three times a week for 4 weeks for approximately 1h each visit. MAIN OUTCOME MEASURES: Kinematic and kinetic gait parameters.
RESULTS: Subjects in the VR group demonstrated a significantly larger increase in ankle power generation at push-off as a result of training (p=0.036). The VR group had greater change in ankle ROM post-training (19.5%) as compared to the NVR group (3.3%). Significant differences were found in knee ROM on the affected side during stance and swing, with greater change in the VR group. No significant changes were observed in kinematics or kinetics of the hip post-training.
CONCLUSIONS: These findings are encouraging because they support the potential for recovery of force and power of the lower extremity for individuals with chronic hemiparesis. It is likely that the effects of training included improved motor control at the ankle, which enabled the cascade of changes that produced the functional improvements seen after training. Copyright 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20189810     DOI: 10.1016/j.gaitpost.2010.01.016

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  38 in total

Review 1.  Robotic gait rehabilitation and substitution devices in neurological disorders: where are we now?

Authors:  Rocco Salvatore Calabrò; Alberto Cacciola; Francesco Bertè; Alfredo Manuli; Antonino Leo; Alessia Bramanti; Antonino Naro; Demetrio Milardi; Placido Bramanti
Journal:  Neurol Sci       Date:  2016-01-18       Impact factor: 3.307

2.  Component-Level Tuning of Kinematic Features From Composite Therapist Impressions of Movement Quality.

Authors:  Vinay Venkataraman; Pavan Turaga; Michael Baran; Nicole Lehrer; Tingfang Du; Long Cheng; Thanassis Rikakis; Steven L Wolf
Journal:  IEEE J Biomed Health Inform       Date:  2014-11-26       Impact factor: 5.772

Review 3.  Walking training associated with virtual reality-based training increases walking speed of individuals with chronic stroke: systematic review with meta-analysis.

Authors:  Juliana M Rodrigues-Baroni; Lucas R Nascimento; Louise Ada; Luci F Teixeira-Salmela
Journal:  Braz J Phys Ther       Date:  2014 Nov-Dec       Impact factor: 3.377

4.  Surface peroneal nerve stimulation in lower limb hemiparesis: effect on quantitative gait parameters.

Authors:  Lynne R Sheffler; Paul N Taylor; Stephanie Nogan Bailey; Douglas D Gunzler; Jaap H Buurke; Maarten J IJzerman; John Chae
Journal:  Am J Phys Med Rehabil       Date:  2015-05       Impact factor: 2.159

5.  Complex versus simple ankle movement training in stroke using telerehabilitation: a randomized controlled trial.

Authors:  Huiqiong Deng; William K Durfee; David J Nuckley; Brandon S Rheude; Amy E Severson; Katie M Skluzacek; Kristen K Spindler; Cynthia S Davey; James R Carey
Journal:  Phys Ther       Date:  2011-11-17

Review 6.  Using virtual reality to improve walking post-stroke: translation to individuals with diabetes.

Authors:  Judith E Deutsch
Journal:  J Diabetes Sci Technol       Date:  2011-03-01

7.  Gait Training after Stroke on a Self-Paced Treadmill with and without Virtual Environment Scenarios: A Proof-of-Principle Study.

Authors:  Carol L Richards; Francine Malouin; Anouk Lamontagne; Bradford J McFadyen; Francine Dumas; François Comeau; Nancy-Michelle Robitaille; Joyce Fung
Journal:  Physiother Can       Date:  2018       Impact factor: 1.037

8.  Virtual Reality for Sensorimotor Rehabilitation Post-Stroke: The Promise and Current State of the Field.

Authors:  Gerard G Fluet; Judith E Deutsch
Journal:  Curr Phys Med Rehabil Rep       Date:  2013-03

Review 9.  Technological advances in interventions to enhance poststroke gait.

Authors:  Lynne R Sheffler; John Chae
Journal:  Phys Med Rehabil Clin N Am       Date:  2013-05       Impact factor: 1.784

10.  Trunk motion visual feedback during walking improves dynamic balance in older adults: Assessor blinded randomized controlled trial.

Authors:  Eric Anson; Lei Ma; Tippawan Meetam; Elizabeth Thompson; Roshita Rathore; Victoria Dean; John Jeka
Journal:  Gait Posture       Date:  2018-03-28       Impact factor: 2.840

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