Literature DB >> 21652279

The integrated virtual environment rehabilitation treadmill system.

Jeff Feasel1, Mary C Whitton, Laura Kassler, Frederick P Brooks, Michael D Lewek.   

Abstract

Slow gait speed and interlimb asymmetry are prevalent in a variety of disorders. Current approaches to locomotor retraining emphasize the need for appropriate feedback during intensive, task-specific practice. This paper describes the design and feasibility testing of the integrated virtual environment rehabilitation treadmill (IVERT) system intended to provide real-time, intuitive feedback regarding gait speed and asymmetry during training. The IVERT system integrates an instrumented, split-belt treadmill with a front-projection, immersive virtual environment. The novel adaptive control system uses only ground reaction force data from the treadmill to continuously update the speeds of the two treadmill belts independently, as well as to control the speed and heading in the virtual environment in real time. Feedback regarding gait asymmetry is presented 1) visually as walking a curved trajectory through the virtual environment and 2) proprioceptively in the form of different belt speeds on the split-belt treadmill. A feasibility study involving five individuals with asymmetric gait found that these individuals could effectively control the speed of locomotion and perceive gait asymmetry during the training session. Although minimal changes in overground gait symmetry were observed immediately following a single training session, further studies should be done to determine the IVERT's potential as a tool for rehabilitation of asymmetric gait by providing patients with congruent visual and proprioceptive feedback.

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Year:  2011        PMID: 21652279      PMCID: PMC4545254          DOI: 10.1109/TNSRE.2011.2120623

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  27 in total

1.  Stepping over obstacles to improve walking in individuals with poststroke hemiplegia.

Authors:  David L Jaffe; David A Brown; Cheryl D Pierson-Carey; Ellie L Buckley; Henry L Lew
Journal:  J Rehabil Res Dev       Date:  2004-05

2.  The utility of a virtual reality locomotion interface for studying gait behavior.

Authors:  Mohamed A Sheik-Nainar; David B Kaber
Journal:  Hum Factors       Date:  2007-08       Impact factor: 2.888

3.  Effects of training with a robot-virtual reality system compared with a robot alone on the gait of individuals after stroke.

Authors:  Anat Mirelman; Paolo Bonato; Judith E Deutsch
Journal:  Stroke       Date:  2008-11-06       Impact factor: 7.914

4.  Enhanced gait-related improvements after therapist- versus robotic-assisted locomotor training in subjects with chronic stroke: a randomized controlled study.

Authors:  T George Hornby; Donielle D Campbell; Jennifer H Kahn; Tobey Demott; Jennifer L Moore; Heidi R Roth
Journal:  Stroke       Date:  2008-05-08       Impact factor: 7.914

5.  Visual influence on human locomotion. Modulation to changes in optic flow.

Authors:  T Prokop; M Schubert; W Berger
Journal:  Exp Brain Res       Date:  1997-03       Impact factor: 1.972

6.  Locomotor adaptation on a split-belt treadmill can improve walking symmetry post-stroke.

Authors:  Darcy S Reisman; Robert Wityk; Kenneth Silver; Amy J Bastian
Journal:  Brain       Date:  2007-04-02       Impact factor: 13.501

7.  Effect of treadmill exercise training on spatial and temporal gait parameters in subjects with chronic stroke: a preliminary report.

Authors:  Shawnna L Patterson; Mary M Rodgers; Richard F Macko; Larry W Forrester
Journal:  J Rehabil Res Dev       Date:  2008

8.  Analysis of impairments influencing gait velocity and asymmetry of hemiplegic patients after mild to moderate stroke.

Authors:  An-Lun Hsu; Pei-Fang Tang; Mei-Hwa Jan
Journal:  Arch Phys Med Rehabil       Date:  2003-08       Impact factor: 3.966

9.  A novel method for automatic treadmill speed adaptation.

Authors:  Joachim von Zitzewitz; Michael Bernhardt; Robert Riener
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2007-09       Impact factor: 3.802

10.  Modulation of walking speed by changing optic flow in persons with stroke.

Authors:  Anouk Lamontagne; Joyce Fung; Bradford J McFadyen; Jocelyn Faubert
Journal:  J Neuroeng Rehabil       Date:  2007-06-26       Impact factor: 4.262

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  18 in total

1.  The role of movement errors in modifying spatiotemporal gait asymmetry post stroke: a randomized controlled trial.

Authors:  Michael D Lewek; Carty H Braun; Clint Wutzke; Carol Giuliani
Journal:  Clin Rehabil       Date:  2017-07-27       Impact factor: 3.477

2.  Dynamic structure of variability in joint angles and center of mass position during user-driven treadmill walking.

Authors:  Kelley M Kempski; Nicole T Ray; Brian A Knarr; Jill S Higginson
Journal:  Gait Posture       Date:  2019-05-01       Impact factor: 2.840

3.  Use of visual and proprioceptive feedback to improve gait speed and spatiotemporal symmetry following chronic stroke: a case series.

Authors:  Michael D Lewek; Jeff Feasel; Erin Wentz; Frederick P Brooks; Mary C Whitton
Journal:  Phys Ther       Date:  2012-01-06

4.  Reliability of a Feedback-Controlled Treadmill Algorithm Dependent on the User's Behavior.

Authors:  Casey Wiens; Will Denton; Molly Schieber; Ryan Hartley; Vivien Marmelat; Sara Myers; Jennifer Yentes
Journal:  IEEE Int Conf Electro Inf Technol       Date:  2017-10-02

5.  A user-driven treadmill control scheme for simulating overground locomotion.

Authors:  Jonghyun Kim; Christopher J Stanley; Lindsey A Curatalo; Hyung-Soon Park
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

6.  Speed-related but not detrended gait variability increases with more sensitive self-paced treadmill controllers at multiple slopes.

Authors:  Cesar R Castano; Helen J Huang
Journal:  PLoS One       Date:  2021-05-07       Impact factor: 3.240

7.  A neuromechanics-based powered ankle exoskeleton to assist walking post-stroke: a feasibility study.

Authors:  Kota Z Takahashi; Michael D Lewek; Gregory S Sawicki
Journal:  J Neuroeng Rehabil       Date:  2015-02-25       Impact factor: 4.262

Review 8.  Efficacy of virtual reality-based intervention on balance and mobility disorders post-stroke: a scoping review.

Authors:  Anuja Darekar; Bradford J McFadyen; Anouk Lamontagne; Joyce Fung
Journal:  J Neuroeng Rehabil       Date:  2015-05-10       Impact factor: 4.262

9.  Commercial Motion Sensor Based Low-Cost and Convenient Interactive Treadmill.

Authors:  Jonghyun Kim; Andrew Gravunder; Hyung-Soon Park
Journal:  Sensors (Basel)       Date:  2015-09-17       Impact factor: 3.576

10.  A novel walking speed estimation scheme and its application to treadmill control for gait rehabilitation.

Authors:  Jungwon Yoon; Hyung-Soon Park; Diane Louise Damiano
Journal:  J Neuroeng Rehabil       Date:  2012-08-28       Impact factor: 4.262

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