On the use of low-cost computer peripherals for the assessment of motor dysfunction in Parkinson's disease--quantification of bradykinesia using target tracking tasks.
Identifieur interne : 001613 ( PubMed/Corpus ); précédent : 001612; suivant : 001614On the use of low-cost computer peripherals for the assessment of motor dysfunction in Parkinson's disease--quantification of bradykinesia using target tracking tasks.
Auteurs : D P Allen ; J R Playfer ; N M Aly ; P. Duffey ; A. Heald ; S L Smith ; D M HallidaySource :
- IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society [ 1534-4320 ] ; 2007.
English descriptors
- KwdEn :
- Adult, Aged, Computer Peripherals, Diagnosis, Computer-Assisted (instrumentation), Diagnosis, Computer-Assisted (methods), Female, Humans, Hypokinesia (diagnosis), Hypokinesia (etiology), Hypokinesia (physiopathology), Male, Middle Aged, Motor Skills, Parkinson Disease (diagnosis), Parkinson Disease (etiology), Parkinson Disease (physiopathology), Reproducibility of Results, Sensitivity and Specificity, Task Performance and Analysis, Video Games.
- MESH :
- diagnosis : Hypokinesia, Parkinson Disease.
- etiology : Hypokinesia, Parkinson Disease.
- instrumentation : Diagnosis, Computer-Assisted.
- methods : Diagnosis, Computer-Assisted.
- physiopathology : Hypokinesia, Parkinson Disease.
- Adult, Aged, Computer Peripherals, Female, Humans, Male, Middle Aged, Motor Skills, Reproducibility of Results, Sensitivity and Specificity, Task Performance and Analysis, Video Games.
Abstract
The potential of computer games peripherals to measure the motor dysfunction in Parkinson's diseases is assessed. Of particular interest is the quantification of bradykinesia. Previous studies used modified or custom haptic interfaces, here an unmodified force feedback joystick and steering wheel are used with a laptop. During testing an on screen cursor moves in response to movements of the peripheral, the user has to track a continuously moving target (pursuit tracking), or move to a predetermined target (step tracking). All tasks use movement in the horizontal axis, allowing use of joystick or steering wheel. Two pursuit tracking tasks are evaluated, pseudo random movement, and a swept frequency task. Two step tracking tasks are evaluated, movement between two or between two of five fixed targets. Thirteen patients and five controls took part on a weekly basis. Patients were assessed for bradykinesia at each session using standard clinical measures. A range of quantitative measures was developed to allow comparison between and within patients and controls using analysis of variance (ANOVA). Both peripherals are capable of discriminating between controls and patients, and between patients with different levels of bradykinesia. Recommendations for test procedures and peripherals are given.
DOI: 10.1109/TNSRE.2007.897020
PubMed: 17601199
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pubmed:17601199Le document en format XML
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Heald</name></author><author><name sortKey="Smith, S L" sort="Smith, S L" uniqKey="Smith S" first="S L" last="Smith">S L Smith</name></author><author><name sortKey="Halliday, D M" sort="Halliday, D M" uniqKey="Halliday D" first="D M" last="Halliday">D M Halliday</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2007">2007</date><idno type="RBID">pubmed:17601199</idno><idno type="pmid">17601199</idno><idno type="doi">10.1109/TNSRE.2007.897020</idno><idno type="wicri:Area/PubMed/Corpus">001613</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">On the use of low-cost computer peripherals for the assessment of motor dysfunction in Parkinson's disease--quantification of bradykinesia using target tracking tasks.</title><author><name sortKey="Allen, D P" sort="Allen, D P" uniqKey="Allen D" first="D P" last="Allen">D P Allen</name><affiliation><nlm:affiliation>Department of Electronics, University of York, York Y017 IBJ, UK.</nlm:affiliation></affiliation></author><author><name sortKey="Playfer, J R" sort="Playfer, J R" uniqKey="Playfer J" first="J R" last="Playfer">J R Playfer</name></author><author><name sortKey="Aly, N M" sort="Aly, N M" uniqKey="Aly N" first="N M" last="Aly">N M Aly</name></author><author><name sortKey="Duffey, P" sort="Duffey, P" uniqKey="Duffey P" first="P" last="Duffey">P. Duffey</name></author><author><name sortKey="Heald, A" sort="Heald, A" uniqKey="Heald A" first="A" last="Heald">A. Heald</name></author><author><name sortKey="Smith, S L" sort="Smith, S L" uniqKey="Smith S" first="S L" last="Smith">S L Smith</name></author><author><name sortKey="Halliday, D M" sort="Halliday, D M" uniqKey="Halliday D" first="D M" last="Halliday">D M Halliday</name></author></analytic><series><title level="j">IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society</title><idno type="ISSN">1534-4320</idno><imprint><date when="2007" type="published">2007</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Aged</term><term>Computer Peripherals</term><term>Diagnosis, Computer-Assisted (instrumentation)</term><term>Diagnosis, Computer-Assisted (methods)</term><term>Female</term><term>Humans</term><term>Hypokinesia (diagnosis)</term><term>Hypokinesia (etiology)</term><term>Hypokinesia (physiopathology)</term><term>Male</term><term>Middle Aged</term><term>Motor Skills</term><term>Parkinson Disease (diagnosis)</term><term>Parkinson Disease (etiology)</term><term>Parkinson Disease (physiopathology)</term><term>Reproducibility of Results</term><term>Sensitivity and Specificity</term><term>Task Performance and Analysis</term><term>Video Games</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Hypokinesia</term><term>Parkinson Disease</term></keywords><keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Hypokinesia</term><term>Parkinson Disease</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Diagnosis, Computer-Assisted</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Diagnosis, Computer-Assisted</term></keywords><keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Hypokinesia</term><term>Parkinson Disease</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Aged</term><term>Computer Peripherals</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Motor Skills</term><term>Reproducibility of Results</term><term>Sensitivity and Specificity</term><term>Task Performance and Analysis</term><term>Video Games</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The potential of computer games peripherals to measure the motor dysfunction in Parkinson's diseases is assessed. Of particular interest is the quantification of bradykinesia. Previous studies used modified or custom haptic interfaces, here an unmodified force feedback joystick and steering wheel are used with a laptop. During testing an on screen cursor moves in response to movements of the peripheral, the user has to track a continuously moving target (pursuit tracking), or move to a predetermined target (step tracking). All tasks use movement in the horizontal axis, allowing use of joystick or steering wheel. Two pursuit tracking tasks are evaluated, pseudo random movement, and a swept frequency task. Two step tracking tasks are evaluated, movement between two or between two of five fixed targets. Thirteen patients and five controls took part on a weekly basis. Patients were assessed for bradykinesia at each session using standard clinical measures. A range of quantitative measures was developed to allow comparison between and within patients and controls using analysis of variance (ANOVA). Both peripherals are capable of discriminating between controls and patients, and between patients with different levels of bradykinesia. Recommendations for test procedures and peripherals are given.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">17601199</PMID><DateCreated><Year>2007</Year><Month>07</Month><Day>02</Day></DateCreated><DateCompleted><Year>2007</Year><Month>08</Month><Day>01</Day></DateCompleted><Article PubModel="Print"><Journal><ISSN IssnType="Print">1534-4320</ISSN><JournalIssue CitedMedium="Print"><Volume>15</Volume><Issue>2</Issue><PubDate><Year>2007</Year><Month>Jun</Month></PubDate></JournalIssue><Title>IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society</Title><ISOAbbreviation>IEEE Trans Neural Syst Rehabil Eng</ISOAbbreviation></Journal><ArticleTitle>On the use of low-cost computer peripherals for the assessment of motor dysfunction in Parkinson's disease--quantification of bradykinesia using target tracking tasks.</ArticleTitle><Pagination><MedlinePgn>286-94</MedlinePgn></Pagination><Abstract><AbstractText>The potential of computer games peripherals to measure the motor dysfunction in Parkinson's diseases is assessed. Of particular interest is the quantification of bradykinesia. Previous studies used modified or custom haptic interfaces, here an unmodified force feedback joystick and steering wheel are used with a laptop. During testing an on screen cursor moves in response to movements of the peripheral, the user has to track a continuously moving target (pursuit tracking), or move to a predetermined target (step tracking). All tasks use movement in the horizontal axis, allowing use of joystick or steering wheel. Two pursuit tracking tasks are evaluated, pseudo random movement, and a swept frequency task. Two step tracking tasks are evaluated, movement between two or between two of five fixed targets. Thirteen patients and five controls took part on a weekly basis. Patients were assessed for bradykinesia at each session using standard clinical measures. A range of quantitative measures was developed to allow comparison between and within patients and controls using analysis of variance (ANOVA). Both peripherals are capable of discriminating between controls and patients, and between patients with different levels of bradykinesia. Recommendations for test procedures and peripherals are given.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Allen</LastName><ForeName>D P</ForeName><Initials>DP</Initials><AffiliationInfo><Affiliation>Department of Electronics, University of York, York Y017 IBJ, UK.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Playfer</LastName><ForeName>J R</ForeName><Initials>JR</Initials></Author><Author ValidYN="Y"><LastName>Aly</LastName><ForeName>N M</ForeName><Initials>NM</Initials></Author><Author ValidYN="Y"><LastName>Duffey</LastName><ForeName>P</ForeName><Initials>P</Initials></Author><Author ValidYN="Y"><LastName>Heald</LastName><ForeName>A</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Smith</LastName><ForeName>S L</ForeName><Initials>SL</Initials></Author><Author ValidYN="Y"><LastName>Halliday</LastName><ForeName>D M</ForeName><Initials>DM</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D023362">Evaluation Studies</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 Trans Neural Syst Rehabil Eng</MedlineTA><NlmUniqueID>101097023</NlmUniqueID><ISSNLinking>1534-4320</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000328">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000368">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D016287">Computer Peripherals</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D003936">Diagnosis, Computer-Assisted</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000295">instrumentation</QualifierName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</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="D018476">Hypokinesia</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000175">diagnosis</QualifierName><QualifierName MajorTopicYN="N" UI="Q000209">etiology</QualifierName><QualifierName MajorTopicYN="N" UI="Q000503">physiopathology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008297">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008875">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D009048">Motor Skills</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D010300">Parkinson Disease</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000175">diagnosis</QualifierName><QualifierName MajorTopicYN="N" UI="Q000209">etiology</QualifierName><QualifierName MajorTopicYN="N" UI="Q000503">physiopathology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D015203">Reproducibility of Results</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D012680">Sensitivity and Specificity</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D013647">Task Performance and Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D018910">Video Games</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2007</Year><Month>7</Month><Day>3</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2007</Year><Month>8</Month><Day>2</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2007</Year><Month>7</Month><Day>3</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">17601199</ArticleId><ArticleId IdType="doi">10.1109/TNSRE.2007.897020</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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