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 : 001139Design 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. MeriansSource :
- Journal of neuroengineering and rehabilitation [ 1743-0003 ] ; 2009.
English descriptors
- KwdEn :
- Algorithms, Arm, Calibration, Computer Simulation, Fingers, Hand, Hand Strength, Humans, Models, Biological, Movement, Music, Paresis (physiopathology), Paresis (rehabilitation), Psychomotor Performance, Stroke (physiopathology), Stroke (rehabilitation), User-Computer Interface, Video Games, Virtual Reality Exposure Therapy (methods).
- MESH :
- methods : Virtual Reality Exposure Therapy.
- physiopathology : Paresis, Stroke.
- rehabilitation : Paresis, Stroke.
- Algorithms, Arm, Calibration, Computer Simulation, Fingers, Hand, Hand Strength, Humans, Models, Biological, Movement, Music, Psychomotor Performance, User-Computer Interface, Video Games.
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:19615045Le document en format XML
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<author><name sortKey="Adamovich, Sergei V" sort="Adamovich, Sergei V" uniqKey="Adamovich S" first="Sergei V" last="Adamovich">Sergei V. Adamovich</name>
<affiliation wicri:level="2"><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>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>University of Medicine and Dentistry of New Jersey, Department of Rehabilitation and Movement Science, Newark, NJ</wicri:regionArea>
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<author><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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<author><name sortKey="Mathai, Abraham" sort="Mathai, Abraham" uniqKey="Mathai A" first="Abraham" last="Mathai">Abraham Mathai</name>
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<author><name sortKey="Qiu, Qinyin" sort="Qiu, Qinyin" uniqKey="Qiu Q" first="Qinyin" last="Qiu">Qinyin Qiu</name>
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<author><name sortKey="Lewis, Jeffrey" sort="Lewis, Jeffrey" uniqKey="Lewis J" first="Jeffrey" last="Lewis">Jeffrey Lewis</name>
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<author><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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<sourceDesc><biblStruct><analytic><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>
<author><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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<wicri:regionArea>University of Medicine and Dentistry of New Jersey, Department of Rehabilitation and Movement Science, Newark, NJ</wicri:regionArea>
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<author><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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<author><name sortKey="Mathai, Abraham" sort="Mathai, Abraham" uniqKey="Mathai A" first="Abraham" last="Mathai">Abraham Mathai</name>
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<author><name sortKey="Qiu, Qinyin" sort="Qiu, Qinyin" uniqKey="Qiu Q" first="Qinyin" last="Qiu">Qinyin Qiu</name>
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<author><name sortKey="Lewis, Jeffrey" sort="Lewis, Jeffrey" uniqKey="Lewis J" first="Jeffrey" last="Lewis">Jeffrey Lewis</name>
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<author><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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<series><title level="j">Journal of neuroengineering and rehabilitation</title>
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<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>
</keywords>
<keywords scheme="MESH" xml:lang="en"><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>
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<front><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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<pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">19615045</PMID>
<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>
<Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1743-0003</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>6</Volume>
<PubDate><Year>2009</Year>
</PubDate>
</JournalIssue>
<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>
<ELocationID EIdType="doi" ValidYN="Y">10.1186/1743-0003-6-28</ELocationID>
<Abstract><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>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Adamovich</LastName>
<ForeName>Sergei V</ForeName>
<Initials>SV</Initials>
<AffiliationInfo><Affiliation>University of Medicine and Dentistry of New Jersey, Department of Rehabilitation and Movement Science, Newark, NJ, USA. sergei.adamovich@njit.edu</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Fluet</LastName>
<ForeName>Gerard G</ForeName>
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<Author ValidYN="Y"><LastName>Mathai</LastName>
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<Author ValidYN="Y"><LastName>Lewis</LastName>
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<Author ValidYN="Y"><LastName>Merians</LastName>
<ForeName>Alma S</ForeName>
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<Language>eng</Language>
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<Acronym>HD</Acronym>
<Agency>NICHD NIH HHS</Agency>
<Country>United States</Country>
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<PMID Version="1">19163659</PMID>
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