Clinically deployable Kinesia™ technology for automated tremor assessment
Identifieur interne : 001A11 ( Istex/Corpus ); précédent : 001A10; suivant : 001A12Clinically deployable Kinesia™ technology for automated tremor assessment
Auteurs : Joseph P. Giuffrida ; David E. Riley ; Brian N. Maddux ; Dustin A. HeldmanSource :
- Movement Disorders [ 0885-3185 ] ; 2009-04-15.
English descriptors
- KwdEn :
Abstract
The objective was to design, build, and assess Kinesia™, a wireless system for automated assessment of Parkinson's disease (PD) tremor. The current standard in evaluating PD is the Unified Parkinson's Disease Rating Scale (UPDRS), a qualitative ranking system typically completed during an office visit. Kinesia integrates accelerometers and gyroscopes in a compact patient‐worn unit to capture kinematic movement disorder features. Objectively quantifying PD manifestations with increased time resolution should aid in evaluating efficacy of treatment protocols and improve patient management. In this study, PD subjects performed the tremor subset of the UPDRS motor section while wearing Kinesia. Quantitative kinematic features were processed and highly correlated to clinician scores for rest tremor (r2 = 0.89), postural tremor (r2 = 0.90), and kinetic tremor (r2 = 0.69). The quantitative features were used to develop a mathematical model that predicted tremor severity scores for new data with low errors. Finally, PD subjects indicated high clinical acceptance. © 2009 Movement Disorder Society
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DOI: 10.1002/mds.22445
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The current standard in evaluating PD is the Unified Parkinson's Disease Rating Scale (UPDRS), a qualitative ranking system typically completed during an office visit. Kinesia integrates accelerometers and gyroscopes in a compact patient‐worn unit to capture kinematic movement disorder features. Objectively quantifying PD manifestations with increased time resolution should aid in evaluating efficacy of treatment protocols and improve patient management. In this study, PD subjects performed the tremor subset of the UPDRS motor section while wearing Kinesia. Quantitative kinematic features were processed and highly correlated to clinician scores for rest tremor (r2 = 0.89), postural tremor (r2 = 0.90), and kinetic tremor (r2 = 0.69). The quantitative features were used to develop a mathematical model that predicted tremor severity scores for new data with low errors. Finally, PD subjects indicated high clinical acceptance. © 2009 Movement Disorder Society</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Joseph P. Giuffrida PhD</name><affiliations><json:string>Division of Movement Disorders, Cleveland Medical Devices Inc., Cleveland, Ohio, USA</json:string></affiliations></json:item><json:item><name>David E. Riley MD</name><affiliations><json:string>Movement Disorders Center, Neurological Institute, University Hospitals Case Medical Center, Cleveland, Ohio, USA</json:string></affiliations></json:item><json:item><name>Brian N. Maddux PhD, MD</name><affiliations><json:string>Movement Disorders Center, Neurological Institute, University Hospitals Case Medical Center, Cleveland, Ohio, USA</json:string></affiliations></json:item><json:item><name>Dustin A. Heldman PhD</name><affiliations><json:string>Division of Movement Disorders, Cleveland Medical Devices Inc., Cleveland, Ohio, USA</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Parkinson's disease</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>UPDRS</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Kinesia</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>tremor</value></json:item></subject><language><json:string>eng</json:string></language><abstract>The objective was to design, build, and assess Kinesia™, a wireless system for automated assessment of Parkinson's disease (PD) tremor. The current standard in evaluating PD is the Unified Parkinson's Disease Rating Scale (UPDRS), a qualitative ranking system typically completed during an office visit. Kinesia integrates accelerometers and gyroscopes in a compact patient‐worn unit to capture kinematic movement disorder features. Objectively quantifying PD manifestations with increased time resolution should aid in evaluating efficacy of treatment protocols and improve patient management. In this study, PD subjects performed the tremor subset of the UPDRS motor section while wearing Kinesia. Quantitative kinematic features were processed and highly correlated to clinician scores for rest tremor (r2 = 0.89), postural tremor (r2 = 0.90), and kinetic tremor (r2 = 0.69). The quantitative features were used to develop a mathematical model that predicted tremor severity scores for new data with low errors. 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Finally, PD subjects indicated high clinical acceptance. © 2009 Movement Disorder Society</p></abstract></abstractGroup></contentMeta><noteGroup><note xml:id="fn1"><p>Potential conflict of interest: Dr. Giuffrida and Dr. Heldman are employess of CleveMed.</p></note></noteGroup></header></component></istex:document></istex:metadataXml><!--Version 0.6 générée le 4-12-2015--><mods version="3.6"><titleInfo lang="en"><title>Clinically deployable Kinesia™ technology for automated tremor assessment</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>Automated Assessment of PD Tremor</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Clinically deployable Kinesia™ technology for automated tremor assessment</title></titleInfo><name type="personal"><namePart type="given">Joseph P.</namePart><namePart type="family">Giuffrida</namePart><namePart type="termsOfAddress">PhD</namePart><affiliation>Division of Movement Disorders, Cleveland Medical Devices Inc., Cleveland, Ohio, USA</affiliation><description>Correspondence: Cleveland Medical Devices Inc., 4415 Euclid Avenue, Cleveland, OH 44103</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">David E.</namePart><namePart type="family">Riley</namePart><namePart type="termsOfAddress">MD</namePart><affiliation>Movement Disorders Center, Neurological Institute, University Hospitals Case Medical Center, Cleveland, Ohio, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Brian N.</namePart><namePart type="family">Maddux</namePart><namePart type="termsOfAddress">PhD, MD</namePart><affiliation>Movement Disorders Center, Neurological Institute, University Hospitals Case Medical Center, Cleveland, Ohio, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Dustin A.</namePart><namePart type="family">Heldman</namePart><namePart type="termsOfAddress">PhD</namePart><affiliation>Division of Movement Disorders, Cleveland Medical Devices Inc., Cleveland, Ohio, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre authority="originalCategForm">article</genre><originInfo><publisher>Wiley Subscription Services, Inc., A Wiley Company</publisher><place><placeTerm type="text">Hoboken</placeTerm></place><dateIssued encoding="w3cdtf">2009-04-15</dateIssued><dateCaptured encoding="w3cdtf">2008-05-16</dateCaptured><dateValid encoding="w3cdtf">2008-12-02</dateValid><copyrightDate encoding="w3cdtf">2009</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType><extent unit="figures">6</extent><extent unit="tables">4</extent><extent unit="references">25</extent><extent unit="words">4822</extent></physicalDescription><abstract lang="en">The objective was to design, build, and assess Kinesia™, a wireless system for automated assessment of Parkinson's disease (PD) tremor. The current standard in evaluating PD is the Unified Parkinson's Disease Rating Scale (UPDRS), a qualitative ranking system typically completed during an office visit. Kinesia integrates accelerometers and gyroscopes in a compact patient‐worn unit to capture kinematic movement disorder features. Objectively quantifying PD manifestations with increased time resolution should aid in evaluating efficacy of treatment protocols and improve patient management. In this study, PD subjects performed the tremor subset of the UPDRS motor section while wearing Kinesia. Quantitative kinematic features were processed and highly correlated to clinician scores for rest tremor (r2 = 0.89), postural tremor (r2 = 0.90), and kinetic tremor (r2 = 0.69). The quantitative features were used to develop a mathematical model that predicted tremor severity scores for new data with low errors. 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|texte= Clinically deployable Kinesia™ technology for automated tremor assessment
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