Using an embedded reality approach to improve test reliability for NHPT tasks.
Identifieur interne : 000D02 ( PubMed/Corpus ); précédent : 000D01; suivant : 000D03Using an embedded reality approach to improve test reliability for NHPT tasks.
Auteurs : M. Bowler ; F. Amirabdollahian ; K. DautenhahnSource :
- IEEE ... International Conference on Rehabilitation Robotics : [proceedings] [ 1945-7901 ] ; 2011.
English descriptors
- KwdEn :
- MESH :
- diagnosis : Cognition Disorders, Movement Disorders.
- physiopathology : Stroke.
- rehabilitation : Cognition Disorders, Movement Disorders, Stroke.
- Adult, Female, Humans, Male, Middle Aged, Young Adult.
Abstract
Research into the use of haptic and virtual reality technologies has increased greatly over the past decade, in terms of both quality and quantity. Methods to utilise haptic and virtual technologies with currently existing techniques for assessing impairment are underway, and, due to the commercially available equipment, has found some success in the use of these methods for individuals who suffer upper limb impairment. This paper uses the clinically validated assessment technique for measuring motor impairment: the Nine Hole Peg Test and creates three tasks with different levels of realism. The efficacy of these tasks is discussed with particular attention paid to analysis in terms of removing factors that limit a virtual environment's use in a clinical setting, such as inter-subject variation.
DOI: 10.1109/ICORR.2011.5975343
PubMed: 22275548
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pubmed:22275548Le document en format XML
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Dautenhahn</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2011">2011</date><idno type="doi">10.1109/ICORR.2011.5975343</idno><idno type="RBID">pubmed:22275548</idno><idno type="pmid">22275548</idno><idno type="wicri:Area/PubMed/Corpus">000D02</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Using an embedded reality approach to improve test reliability for NHPT tasks.</title><author><name sortKey="Bowler, M" sort="Bowler, M" uniqKey="Bowler M" first="M" last="Bowler">M. Bowler</name><affiliation><nlm:affiliation>University of Hertfordshire Adaptive Systems Research Group, Hatfield, UK. m.bowler@herts.ac.uk</nlm:affiliation></affiliation></author><author><name sortKey="Amirabdollahian, F" sort="Amirabdollahian, F" uniqKey="Amirabdollahian F" first="F" last="Amirabdollahian">F. Amirabdollahian</name></author><author><name sortKey="Dautenhahn, K" sort="Dautenhahn, K" uniqKey="Dautenhahn K" first="K" last="Dautenhahn">K. Dautenhahn</name></author></analytic><series><title level="j">IEEE ... International Conference on Rehabilitation Robotics : [proceedings]</title><idno type="eISSN">1945-7901</idno><imprint><date when="2011" type="published">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Cognition Disorders (diagnosis)</term><term>Cognition Disorders (rehabilitation)</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Movement Disorders (diagnosis)</term><term>Movement Disorders (rehabilitation)</term><term>Stroke (physiopathology)</term><term>Stroke (rehabilitation)</term><term>Young Adult</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Cognition Disorders</term><term>Movement Disorders</term></keywords><keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Stroke</term></keywords><keywords scheme="MESH" qualifier="rehabilitation" xml:lang="en"><term>Cognition Disorders</term><term>Movement Disorders</term><term>Stroke</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Young Adult</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Research into the use of haptic and virtual reality technologies has increased greatly over the past decade, in terms of both quality and quantity. Methods to utilise haptic and virtual technologies with currently existing techniques for assessing impairment are underway, and, due to the commercially available equipment, has found some success in the use of these methods for individuals who suffer upper limb impairment. This paper uses the clinically validated assessment technique for measuring motor impairment: the Nine Hole Peg Test and creates three tasks with different levels of realism. The efficacy of these tasks is discussed with particular attention paid to analysis in terms of removing factors that limit a virtual environment's use in a clinical setting, such as inter-subject variation.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">22275548</PMID><DateCreated><Year>2012</Year><Month>01</Month><Day>25</Day></DateCreated><DateCompleted><Year>2012</Year><Month>07</Month><Day>19</Day></DateCompleted><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1945-7901</ISSN><JournalIssue CitedMedium="Internet"><Volume>2011</Volume><PubDate><Year>2011</Year></PubDate></JournalIssue><Title>IEEE ... International Conference on Rehabilitation Robotics : [proceedings]</Title><ISOAbbreviation>IEEE Int Conf Rehabil Robot</ISOAbbreviation></Journal><ArticleTitle>Using an embedded reality approach to improve test reliability for NHPT tasks.</ArticleTitle><Pagination><MedlinePgn>5975343</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1109/ICORR.2011.5975343</ELocationID><Abstract><AbstractText>Research into the use of haptic and virtual reality technologies has increased greatly over the past decade, in terms of both quality and quantity. Methods to utilise haptic and virtual technologies with currently existing techniques for assessing impairment are underway, and, due to the commercially available equipment, has found some success in the use of these methods for individuals who suffer upper limb impairment. This paper uses the clinically validated assessment technique for measuring motor impairment: the Nine Hole Peg Test and creates three tasks with different levels of realism. The efficacy of these tasks is discussed with particular attention paid to analysis in terms of removing factors that limit a virtual environment's use in a clinical setting, such as inter-subject variation.</AbstractText><CopyrightInformation>© 2011 IEEE</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Bowler</LastName><ForeName>M</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>University of Hertfordshire Adaptive Systems Research Group, Hatfield, UK. m.bowler@herts.ac.uk</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Amirabdollahian</LastName><ForeName>F</ForeName><Initials>F</Initials></Author><Author ValidYN="Y"><LastName>Dautenhahn</LastName><ForeName>K</ForeName><Initials>K</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016430">Clinical Trial</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>IEEE Int Conf Rehabil Robot</MedlineTA><NlmUniqueID>101260913</NlmUniqueID><ISSNLinking>1945-7898</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000328">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D003072">Cognition Disorders</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000175">diagnosis</QualifierName><QualifierName MajorTopicYN="N" UI="Q000534">rehabilitation</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D005260">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008297">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008875">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D009069">Movement Disorders</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000175">diagnosis</QualifierName><QualifierName MajorTopicYN="N" UI="Q000534">rehabilitation</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D020521">Stroke</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000503">physiopathology</QualifierName><QualifierName MajorTopicYN="N" UI="Q000534">rehabilitation</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D055815">Young Adult</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2012</Year><Month>1</Month><Day>26</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2012</Year><Month>1</Month><Day>26</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2012</Year><Month>7</Month><Day>20</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="doi">10.1109/ICORR.2011.5975343</ArticleId><ArticleId IdType="pubmed">22275548</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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