Clinically deployable Kinesia technology for automated tremor assessment.
Identifieur interne : 002494 ( Ncbi/Checkpoint ); précédent : 002493; suivant : 002495Clinically deployable Kinesia technology for automated tremor assessment.
Auteurs : Joseph P. Giuffrida [États-Unis] ; David E. Riley ; Brian N. Maddux ; Dustin A. HeldmanSource :
- Movement disorders : official journal of the Movement Disorder Society [ 1531-8257 ] ; 2009.
English descriptors
- KwdEn :
- MESH :
- complications : Parkinson Disease.
- diagnosis : Tremor.
- etiology : Tremor.
- methods : Automatic Data Processing.
- Algorithms, Humans, Kinesics, Severity of Illness Index.
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 (r(2) = 0.89), postural tremor (r(2) = 0.90), and kinetic tremor (r(2) = 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.
DOI: 10.1002/mds.22445
PubMed: 19133661
Affiliations:
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pubmed:19133661Le document en format XML
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Maddux</name></author><author><name sortKey="Heldman, Dustin A" sort="Heldman, Dustin A" uniqKey="Heldman D" first="Dustin A" last="Heldman">Dustin A. Heldman</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2009">2009</date><idno type="doi">10.1002/mds.22445</idno><idno type="RBID">pubmed:19133661</idno><idno type="pmid">19133661</idno><idno type="wicri:Area/PubMed/Corpus">001E70</idno><idno type="wicri:Area/PubMed/Curation">001E70</idno><idno type="wicri:Area/PubMed/Checkpoint">001E99</idno><idno type="wicri:Area/Ncbi/Merge">002494</idno><idno type="wicri:Area/Ncbi/Curation">002494</idno><idno type="wicri:Area/Ncbi/Checkpoint">002494</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Clinically deployable Kinesia technology for automated tremor assessment.</title><author><name sortKey="Giuffrida, Joseph P" sort="Giuffrida, Joseph P" uniqKey="Giuffrida J" first="Joseph P" last="Giuffrida">Joseph P. Giuffrida</name><affiliation wicri:level="1"><nlm:affiliation>Division of Movement Disorders, Cleveland Medical Devices Inc., Cleveland, Ohio 44103, USA. jgiuffrida@clevemed.com</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Division of Movement Disorders, Cleveland Medical Devices Inc., Cleveland, Ohio 44103</wicri:regionArea><wicri:noRegion>Ohio 44103</wicri:noRegion></affiliation></author><author><name sortKey="Riley, David E" sort="Riley, David E" uniqKey="Riley D" first="David E" last="Riley">David E. Riley</name></author><author><name sortKey="Maddux, Brian N" sort="Maddux, Brian N" uniqKey="Maddux B" first="Brian N" last="Maddux">Brian N. Maddux</name></author><author><name sortKey="Heldman, Dustin A" sort="Heldman, Dustin A" uniqKey="Heldman D" first="Dustin A" last="Heldman">Dustin A. Heldman</name></author></analytic><series><title level="j">Movement disorders : official journal of the Movement Disorder Society</title><idno type="eISSN">1531-8257</idno><imprint><date when="2009" type="published">2009</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms</term><term>Automatic Data Processing (methods)</term><term>Humans</term><term>Kinesics</term><term>Parkinson Disease (complications)</term><term>Severity of Illness Index</term><term>Tremor (diagnosis)</term><term>Tremor (etiology)</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Parkinson Disease</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Tremor</term></keywords><keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Tremor</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Automatic Data Processing</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Algorithms</term><term>Humans</term><term>Kinesics</term><term>Severity of Illness Index</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml: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 (r(2) = 0.89), postural tremor (r(2) = 0.90), and kinetic tremor (r(2) = 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.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country></list><tree><noCountry><name sortKey="Heldman, Dustin A" sort="Heldman, Dustin A" uniqKey="Heldman D" first="Dustin A" last="Heldman">Dustin A. Heldman</name><name sortKey="Maddux, Brian N" sort="Maddux, Brian N" uniqKey="Maddux B" first="Brian N" last="Maddux">Brian N. Maddux</name><name sortKey="Riley, David E" sort="Riley, David E" uniqKey="Riley D" first="David E" last="Riley">David E. Riley</name></noCountry><country name="États-Unis"><noRegion><name sortKey="Giuffrida, Joseph P" sort="Giuffrida, Joseph P" uniqKey="Giuffrida J" first="Joseph P" last="Giuffrida">Joseph P. Giuffrida</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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