Literature DB >> 17271400

Locomotor rehabilitation in a complex virtual environment.

J Fung1, F Malouin, B J McFadyen, F Comeau, A Lamontagne, S Chapdelaine, C Beaudoin, D Laurendeau, L Hughey, C L Richards.   

Abstract

Virtual reality (VR) technology offers a new and safe way to increase practice time and provide the varied environments and constraints needed to optimize locomotor training. Our specific objectives are (1) to create a virtual environment (VE) coupled with a self-paced treadmill for locomotor training; (2) to compare temporal and distance measurements of gait during treadmill walking while looking at different scenarios of VE; and (3) to develop a protocol optimized for the training of locomotor disorders after stroke. A motorized treadmill was mounted on a six-degree-of-freedom motion platform. VEs were created using commercial software (SoftImage) and projected on a large screen, while system control was administered through the CAREN software (Motek BV). The instantaneous treadmill speed and scene progression were servo-controlled. Preliminary results show that healthy subjects are able to have full control of their own walking speed both on the treadmill and within the virtual scene, while experiencing a strong sense of presence. A street crossing training protocol has been developed for locomotor training. It is expected that locomotor training with increasingly complex VEs will allow persons with stroke to increase progressively their locomotor capacity, as required and entrained by the VE.

Entities:  

Year:  2004        PMID: 17271400     DOI: 10.1109/IEMBS.2004.1404344

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  7 in total

1.  Needs Assessment-mHealth Applications for People Aging with Multiple Sclerosis.

Authors:  Ljilja Ruzic; Jon A Sanford
Journal:  J Healthc Inform Res       Date:  2018-05-10

2.  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

Review 3.  Sensorimotor training in virtual reality: a review.

Authors:  Sergei V Adamovich; Gerard G Fluet; Eugene Tunik; Alma S Merians
Journal:  NeuroRehabilitation       Date:  2009       Impact factor: 2.138

4.  Validation of a mechanism to balance exercise difficulty in robot-assisted upper-extremity rehabilitation after stroke.

Authors:  Lukas Zimmerli; Carmen Krewer; Roger Gassert; Friedemann Müller; Robert Riener; Lars Lünenburger
Journal:  J Neuroeng Rehabil       Date:  2012-02-03       Impact factor: 4.262

5.  Motor rehabilitation using virtual reality.

Authors:  Heidi Sveistrup
Journal:  J Neuroeng Rehabil       Date:  2004-12-10       Impact factor: 4.262

Review 6.  The effect of 'device-in-charge' versus 'patient-in-charge' support during robotic gait training on walking ability and balance in chronic stroke survivors: A systematic review.

Authors:  Juliet Am Haarman; Jasper Reenalda; Jaap H Buurke; Herman van der Kooij; Johan S Rietman
Journal:  J Rehabil Assist Technol Eng       Date:  2016-11-29

Review 7.  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

  7 in total

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