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Design of a complex virtual reality simulation to train finger motion for persons with hemiparesis: a proof of concept study.

Identifieur interne : 001138 ( PubMed/Checkpoint ); précédent : 001137; suivant : 001139

Design of a complex virtual reality simulation to train finger motion for persons with hemiparesis: a proof of concept study.

Auteurs : Sergei V. Adamovich [États-Unis] ; Gerard G. Fluet ; Abraham Mathai ; Qinyin Qiu ; Jeffrey Lewis ; Alma S. Merians

Source :

RBID : pubmed:19615045

English descriptors

Abstract

Current neuroscience has identified rehabilitation approaches with the potential to stimulate adaptive changes in the brains of persons with hemiparesis. These approaches include, intensive task-oriented training, bimanual activities and balancing proximal and distal upper extremity interventions to reduce competition between these segments for neural territory.

DOI: 10.1186/1743-0003-6-28
PubMed: 19615045


Affiliations:


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pubmed:19615045

Le document en format XML

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<title xml:lang="en">Design of a complex virtual reality simulation to train finger motion for persons with hemiparesis: a proof of concept study.</title>
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<name sortKey="Adamovich, Sergei V" sort="Adamovich, Sergei V" uniqKey="Adamovich S" first="Sergei V" last="Adamovich">Sergei V. Adamovich</name>
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<nlm:affiliation>University of Medicine and Dentistry of New Jersey, Department of Rehabilitation and Movement Science, Newark, NJ, USA. sergei.adamovich@njit.edu</nlm:affiliation>
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<wicri:regionArea>University of Medicine and Dentistry of New Jersey, Department of Rehabilitation and Movement Science, Newark, NJ</wicri:regionArea>
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<name sortKey="Fluet, Gerard G" sort="Fluet, Gerard G" uniqKey="Fluet G" first="Gerard G" last="Fluet">Gerard G. Fluet</name>
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<name sortKey="Mathai, Abraham" sort="Mathai, Abraham" uniqKey="Mathai A" first="Abraham" last="Mathai">Abraham Mathai</name>
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<name sortKey="Qiu, Qinyin" sort="Qiu, Qinyin" uniqKey="Qiu Q" first="Qinyin" last="Qiu">Qinyin Qiu</name>
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<name sortKey="Lewis, Jeffrey" sort="Lewis, Jeffrey" uniqKey="Lewis J" first="Jeffrey" last="Lewis">Jeffrey Lewis</name>
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<name sortKey="Merians, Alma S" sort="Merians, Alma S" uniqKey="Merians A" first="Alma S" last="Merians">Alma S. Merians</name>
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<title xml:lang="en">Design of a complex virtual reality simulation to train finger motion for persons with hemiparesis: a proof of concept study.</title>
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<name sortKey="Mathai, Abraham" sort="Mathai, Abraham" uniqKey="Mathai A" first="Abraham" last="Mathai">Abraham Mathai</name>
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<name sortKey="Qiu, Qinyin" sort="Qiu, Qinyin" uniqKey="Qiu Q" first="Qinyin" last="Qiu">Qinyin Qiu</name>
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<term>Algorithms</term>
<term>Arm</term>
<term>Calibration</term>
<term>Computer Simulation</term>
<term>Fingers</term>
<term>Hand</term>
<term>Hand Strength</term>
<term>Humans</term>
<term>Models, Biological</term>
<term>Movement</term>
<term>Music</term>
<term>Paresis (physiopathology)</term>
<term>Paresis (rehabilitation)</term>
<term>Psychomotor Performance</term>
<term>Stroke (physiopathology)</term>
<term>Stroke (rehabilitation)</term>
<term>User-Computer Interface</term>
<term>Video Games</term>
<term>Virtual Reality Exposure Therapy (methods)</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en">
<term>Virtual Reality Exposure Therapy</term>
</keywords>
<keywords scheme="MESH" qualifier="physiopathology" xml:lang="en">
<term>Paresis</term>
<term>Stroke</term>
</keywords>
<keywords scheme="MESH" qualifier="rehabilitation" xml:lang="en">
<term>Paresis</term>
<term>Stroke</term>
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<term>Algorithms</term>
<term>Arm</term>
<term>Calibration</term>
<term>Computer Simulation</term>
<term>Fingers</term>
<term>Hand</term>
<term>Hand Strength</term>
<term>Humans</term>
<term>Models, Biological</term>
<term>Movement</term>
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<term>Psychomotor Performance</term>
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<div type="abstract" xml:lang="en">Current neuroscience has identified rehabilitation approaches with the potential to stimulate adaptive changes in the brains of persons with hemiparesis. These approaches include, intensive task-oriented training, bimanual activities and balancing proximal and distal upper extremity interventions to reduce competition between these segments for neural territory.</div>
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<DateCreated>
<Year>2009</Year>
<Month>08</Month>
<Day>20</Day>
</DateCreated>
<DateCompleted>
<Year>2013</Year>
<Month>08</Month>
<Day>12</Day>
</DateCompleted>
<DateRevised>
<Year>2014</Year>
<Month>12</Month>
<Day>07</Day>
</DateRevised>
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<ISSN IssnType="Electronic">1743-0003</ISSN>
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<Volume>6</Volume>
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<Year>2009</Year>
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<Title>Journal of neuroengineering and rehabilitation</Title>
<ISOAbbreviation>J Neuroeng Rehabil</ISOAbbreviation>
</Journal>
<ArticleTitle>Design of a complex virtual reality simulation to train finger motion for persons with hemiparesis: a proof of concept study.</ArticleTitle>
<Pagination>
<MedlinePgn>28</MedlinePgn>
</Pagination>
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<AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Current neuroscience has identified rehabilitation approaches with the potential to stimulate adaptive changes in the brains of persons with hemiparesis. These approaches include, intensive task-oriented training, bimanual activities and balancing proximal and distal upper extremity interventions to reduce competition between these segments for neural territory.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">This paper describes the design and feasibility testing of a robotic/virtual environment system designed to train the hand and arm of persons with hemiparesis. The system employs a simulated piano that presents visual, auditory and tactile feedback comparable to an actual piano. Arm tracking allows patients to train both the arm and hand as a coordinated unit, emphasizing the integration of both transport and manipulation phases. The piano trainer includes songs and scales that can be performed with one or both hands. Adaptable haptic assistance is available for more involved subjects. An algorithm adjusts task difficulty in proportion to subject performance. A proof of concept study was performed on four subjects with upper extremity hemiparesis secondary to chronic stroke to establish: a) the safety and feasibility of this system and b) the concurrent validity of robotically measured kinematic and performance measures to behavioral measures of upper extremity function.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">None of the subjects experienced adverse events or responses during or after training. As a group, the subjects improved in both performance time and key press accuracy. Three of the four subjects demonstrated improvements in fractionation, the ability to move each finger individually. Two subjects improved their aggregate time on the Jebsen Test of Hand Function and three of the four subjects improved in Wolf Motor Function Test aggregate time.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">The system designed in this paper has proven to be safe and feasible for the training of hand function for persons with hemiparesis. It features a flexible design that allows for the use and further study of adjustments in point of view, bilateral and unimanual treatment modes, adaptive training algorithms and haptically rendered collisions in the context of rehabilitation of the hemiparetic hand.</AbstractText>
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<ForeName>Sergei V</ForeName>
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<Affiliation>University of Medicine and Dentistry of New Jersey, Department of Rehabilitation and Movement Science, Newark, NJ, USA. sergei.adamovich@njit.edu</Affiliation>
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<Language>eng</Language>
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<Grant>
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<Acronym>HD</Acronym>
<Agency>NICHD NIH HHS</Agency>
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<Grant>
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<CommentsCorrectionsList>
<CommentsCorrections RefType="Cites">
<RefSource>J Neurol. 2007 Oct;254(10):1339-46</RefSource>
<PMID Version="1">17260171</PMID>
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<CommentsCorrections RefType="Cites">
<RefSource>Conf Proc IEEE Eng Med Biol Soc. 2006;1:4925-8</RefSource>
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<CommentsCorrections RefType="Cites">
<RefSource>Neurobiol Learn Mem. 2000 Jul;74(1):27-55</RefSource>
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<CommentsCorrections RefType="Cites">
<RefSource>Phys Ther. 2002 Sep;82(9):898-915</RefSource>
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<CommentsCorrections RefType="Cites">
<RefSource>J Rehabil Med. 2003 May;(41 Suppl):7-10</RefSource>
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<CommentsCorrections RefType="Cites">
<RefSource>J Clin Neurophysiol. 2004 May-Jun;21(3):180-91</RefSource>
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<CommentsCorrections RefType="Cites">
<RefSource>Arch Phys Med Rehabil. 1969 Jun;50(6):311-9</RefSource>
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</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Phys Ther. 1987 Feb;67(2):206-7</RefSource>
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<CommentsCorrections RefType="Cites">
<RefSource>Phys Ther. 1992 Sep;72(9):624-33</RefSource>
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</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Stroke. 1993 Jan;24(1):58-63</RefSource>
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</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>J Neurophysiol. 1998 Dec;80(6):3321-5</RefSource>
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</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Neurorehabil Neural Repair. 2005 Sep;19(3):194-205</RefSource>
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<CommentsCorrections RefType="Cites">
<RefSource>Neurorehabil Neural Repair. 2006 Jun;20(2):252-67</RefSource>
<PMID Version="1">16679503</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Prog Brain Res. 2006;157:81-109</RefSource>
<PMID Version="1">17046669</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Top Stroke Rehabil. 2007 Jan-Feb;14(1):1-12</RefSource>
<PMID Version="1">17311785</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Conf Proc IEEE Eng Med Biol Soc. 2008;2008:4282-5</RefSource>
<PMID Version="1">19163659</PMID>
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