Literature DB >> 18394527

Visual feedback distortion in a robotic environment for hand rehabilitation.

Bambi Roberts Brewer1, Roberta Klatzky, Yoky Matsuoka.   

Abstract

Robotic therapy offers a means of enhancing rehabilitation for individuals with chronic stroke or traumatic brain injury. The present research targets members of this population who demonstrate learned nonuse, a tendency to use affected limbs below the level of the individual's true capability. These individuals may not strive for difficult goals in therapy, which ultimately hampers their progress and the outcome of rehabilitation. Our research uses a paradigm called visual feedback distortion in which the visual feedback corresponding to force or distance is gradually changed by an imperceptible amount to encourage improved performance. Our first set of experiments was designed to assess the limits of imperceptible distortion for visual feedback concerning the force exerted or the distance moved by the index finger. A second set of experiments used these limits to gradually distort visual feedback in order to manipulate a subject's force or distance response. Based on this work, we designed a paradigm applying visual feedback distortion to the rehabilitation of individuals with chronic stroke and traumatic brain injury. Initial tests are reported for two subjects who participated in a six-week rehabilitation protocol. Each patient followed visual feedback distortion to levels of performance above that predicted by her performance during an initial assessment. Both patients showed functional improvements after participating in the study. Visual feedback distortion may provide a way to help a patient move beyond his or her self-assessed "best" performance, improving the outcome of robotic rehabilitation.

Entities:  

Mesh:

Year:  2008        PMID: 18394527     DOI: 10.1016/j.brainresbull.2008.01.006

Source DB:  PubMed          Journal:  Brain Res Bull        ISSN: 0361-9230            Impact factor:   4.077


  13 in total

1.  Calcium dynamics encode the magnitude of a graded memory underlying sensorimotor adaptation.

Authors:  Nikolai C Dembrow; Diana L Pettit; Harold H Zakon
Journal:  J Neurophysiol       Date:  2010-02-24       Impact factor: 2.714

2.  Pilot study to test effectiveness of video game on reaching performance in stroke.

Authors:  Ana Maria Acosta; Hendrik A Dewald; Jules P A Dewald
Journal:  J Rehabil Res Dev       Date:  2011

3.  Microstructural properties of premotor pathways predict visuomotor performance in chronic stroke.

Authors:  Derek B Archer; Gaurav Misra; Carolynn Patten; Stephen A Coombes
Journal:  Hum Brain Mapp       Date:  2016-02-27       Impact factor: 5.038

4.  Phase II Randomized Controlled Trial of Constraint-Induced Movement Therapy in Multiple Sclerosis. Part 1: Effects on Real-World Function.

Authors:  Victor W Mark; Edward Taub; Gitendra Uswatte; David M Morris; Gary R Cutter; Terrie L Adams; Mary H Bowman; Staci McKay
Journal:  Neurorehabil Neural Repair       Date:  2018-03       Impact factor: 3.919

5.  Effects of implicit visual feedback distortion on human gait.

Authors:  Seung-Jae Kim; Hermano Igo Krebs
Journal:  Exp Brain Res       Date:  2012-03-13       Impact factor: 1.972

Review 6.  A survey on robotic devices for upper limb rehabilitation.

Authors:  Paweł Maciejasz; Jörg Eschweiler; Kurt Gerlach-Hahn; Arne Jansen-Troy; Steffen Leonhardt
Journal:  J Neuroeng Rehabil       Date:  2014-01-09       Impact factor: 4.262

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

8.  A "virtually minimal" visuo-haptic training of attention in severe traumatic brain injury.

Authors:  Assaf Y Dvorkin; Milan Ramaiya; Eric B Larson; Felise S Zollman; Nancy Hsu; Sonia Pacini; Amit Shah; James L Patton
Journal:  J Neuroeng Rehabil       Date:  2013-08-09       Impact factor: 4.262

9.  Effect of explicit visual feedback distortion on human gait.

Authors:  Seung-Jae Kim; Dieudonne Mugisha
Journal:  J Neuroeng Rehabil       Date:  2014-04-28       Impact factor: 4.262

10.  The feasibility of using haptic devices to engage people with chronic traumatic brain injury in virtual 3D functional tasks.

Authors:  Lynn H Gerber; Cody G Narber; Nalini Vishnoi; Sidney L Johnson; Leighton Chan; Zoran Duric
Journal:  J Neuroeng Rehabil       Date:  2014-08-08       Impact factor: 4.262

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