New actigraph for long-term tremor recording.
Identifieur interne : 002C76 ( PubMed/Curation ); précédent : 002C75; suivant : 002C77New actigraph for long-term tremor recording.
Auteurs : Eus J W. Van Someren [Pays-Bas] ; Myrthe D. Pticek ; Johannes D. Speelman ; Peter R. Schuurman ; Rianne Esselink ; Dick F. SwaabSource :
- Movement disorders : official journal of the Movement Disorder Society [ 0885-3185 ] ; 2006.
English descriptors
- KwdEn :
- MESH :
- methods : Electrophysiology, Environmental Monitoring.
- physiopathology : Parkinson Disease, Tremor.
- Aged, Algorithms, Female, Hand, Humans, Male, Middle Aged, Reference Values, Reproducibility of Results.
Abstract
A new method of movement analysis is validated, allowing an actigraph to discriminate tremor from other movements and store duration and intensity measures of both movement types. For algorithm optimization, wrist acceleration was recorded in nine controls and nine Parkinson's disease patients, while simultaneously rating their observed tremor minute by minute on item 20 of the Unified Parkinson's Disease Rating Scale. An optimization procedure to minimize false positives in controls while maximizing tremor detection in patients resulted in false positive tremor classification in 2.4% +/- 2.5% of the movement time of control subjects (range, 0%-7%), while providing tremor classification in 82.1% +/- 15.4% of the movement time in patients (range, 55%-100%), correlating r = 0.93 with their averaged observed tremor score. A second, generalizability study showed that application of the optimized algorithm resulted in accurate classification of 71% +/- 14% of the observed tremor time (range, 46%-90%) in another 9 patients and in a false positive classification in only 0.5% +/- 0.8% of the time in another 10 controls (range, 0%-2.4%). The commercial availability of this actigraph now for the first time makes it possible to investigate tremor fluctuations over several weeks. An example is given of how long-term monitoring can be of use in evaluation of symptom management.
DOI: 10.1002/mds.20900
PubMed: 16639727
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Speelman</name></author><author><name sortKey="Schuurman, Peter R" sort="Schuurman, Peter R" uniqKey="Schuurman P" first="Peter R" last="Schuurman">Peter R. Schuurman</name></author><author><name sortKey="Esselink, Rianne" sort="Esselink, Rianne" uniqKey="Esselink R" first="Rianne" last="Esselink">Rianne Esselink</name></author><author><name sortKey="Swaab, Dick F" sort="Swaab, Dick F" uniqKey="Swaab D" first="Dick F" last="Swaab">Dick F. 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Swaab</name></author></analytic><series><title level="j">Movement disorders : official journal of the Movement Disorder Society</title><idno type="ISSN">0885-3185</idno><imprint><date when="2006" type="published">2006</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged</term><term>Algorithms</term><term>Electrophysiology (methods)</term><term>Environmental Monitoring (methods)</term><term>Female</term><term>Hand</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Parkinson Disease (physiopathology)</term><term>Reference Values</term><term>Reproducibility of Results</term><term>Tremor (physiopathology)</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Electrophysiology</term><term>Environmental Monitoring</term></keywords><keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Parkinson Disease</term><term>Tremor</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Algorithms</term><term>Female</term><term>Hand</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Reference Values</term><term>Reproducibility of Results</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">A new method of movement analysis is validated, allowing an actigraph to discriminate tremor from other movements and store duration and intensity measures of both movement types. For algorithm optimization, wrist acceleration was recorded in nine controls and nine Parkinson's disease patients, while simultaneously rating their observed tremor minute by minute on item 20 of the Unified Parkinson's Disease Rating Scale. An optimization procedure to minimize false positives in controls while maximizing tremor detection in patients resulted in false positive tremor classification in 2.4% +/- 2.5% of the movement time of control subjects (range, 0%-7%), while providing tremor classification in 82.1% +/- 15.4% of the movement time in patients (range, 55%-100%), correlating r = 0.93 with their averaged observed tremor score. A second, generalizability study showed that application of the optimized algorithm resulted in accurate classification of 71% +/- 14% of the observed tremor time (range, 46%-90%) in another 9 patients and in a false positive classification in only 0.5% +/- 0.8% of the time in another 10 controls (range, 0%-2.4%). The commercial availability of this actigraph now for the first time makes it possible to investigate tremor fluctuations over several weeks. An example is given of how long-term monitoring can be of use in evaluation of symptom management.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">16639727</PMID><DateCreated><Year>2006</Year><Month>08</Month><Day>30</Day></DateCreated><DateCompleted><Year>2007</Year><Month>01</Month><Day>04</Day></DateCompleted><Article PubModel="Print"><Journal><ISSN IssnType="Print">0885-3185</ISSN><JournalIssue CitedMedium="Print"><Volume>21</Volume><Issue>8</Issue><PubDate><Year>2006</Year><Month>Aug</Month></PubDate></JournalIssue><Title>Movement disorders : official journal of the Movement Disorder Society</Title><ISOAbbreviation>Mov. Disord.</ISOAbbreviation></Journal><ArticleTitle>New actigraph for long-term tremor recording.</ArticleTitle><Pagination><MedlinePgn>1136-43</MedlinePgn></Pagination><Abstract><AbstractText>A new method of movement analysis is validated, allowing an actigraph to discriminate tremor from other movements and store duration and intensity measures of both movement types. For algorithm optimization, wrist acceleration was recorded in nine controls and nine Parkinson's disease patients, while simultaneously rating their observed tremor minute by minute on item 20 of the Unified Parkinson's Disease Rating Scale. An optimization procedure to minimize false positives in controls while maximizing tremor detection in patients resulted in false positive tremor classification in 2.4% +/- 2.5% of the movement time of control subjects (range, 0%-7%), while providing tremor classification in 82.1% +/- 15.4% of the movement time in patients (range, 55%-100%), correlating r = 0.93 with their averaged observed tremor score. A second, generalizability study showed that application of the optimized algorithm resulted in accurate classification of 71% +/- 14% of the observed tremor time (range, 46%-90%) in another 9 patients and in a false positive classification in only 0.5% +/- 0.8% of the time in another 10 controls (range, 0%-2.4%). The commercial availability of this actigraph now for the first time makes it possible to investigate tremor fluctuations over several weeks. An example is given of how long-term monitoring can be of use in evaluation of symptom management.</AbstractText><CopyrightInformation>(c) 2006 Movement Disorder Society</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Van Someren</LastName><ForeName>Eus J W</ForeName><Initials>EJ</Initials><AffiliationInfo><Affiliation>Netherlands Institute for Neuroscience, Amsterdam, The Netherlands. e.van.someren@nin.knaw.nl</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Pticek</LastName><ForeName>Myrthe D</ForeName><Initials>MD</Initials></Author><Author ValidYN="Y"><LastName>Speelman</LastName><ForeName>Johannes D</ForeName><Initials>JD</Initials></Author><Author ValidYN="Y"><LastName>Schuurman</LastName><ForeName>Peter R</ForeName><Initials>PR</Initials></Author><Author ValidYN="Y"><LastName>Esselink</LastName><ForeName>Rianne</ForeName><Initials>R</Initials></Author><Author ValidYN="Y"><LastName>Swaab</LastName><ForeName>Dick F</ForeName><Initials>DF</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D003160">Comparative Study</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Mov Disord</MedlineTA><NlmUniqueID>8610688</NlmUniqueID><ISSNLinking>0885-3185</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000368">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000465">Algorithms</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D004594">Electrophysiology</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D004784">Environmental Monitoring</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D005260">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006225">Hand</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="D010300">Parkinson Disease</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000503">physiopathology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D012016">Reference Values</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D015203">Reproducibility of Results</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D014202">Tremor</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000503">physiopathology</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2006</Year><Month>4</Month><Day>28</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2007</Year><Month>1</Month><Day>5</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2006</Year><Month>4</Month><Day>28</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="doi">10.1002/mds.20900</ArticleId><ArticleId IdType="pubmed">16639727</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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