MovDisordV3, PascalFrancis, Checkpoint, bibRecord, 000F45

Clinically Deployable Kinesia Technology for Automated Tremor Assessment

Identifieur interne : 000F45 ( PascalFrancis/Checkpoint ); précédent : 000F44; suivant : 000F46

Clinically Deployable Kinesia Technology for Automated Tremor Assessment

Auteurs : Joseph P. Giuffrida [États-Unis] ; David E. Riley [États-Unis] ; Brian N. Maddux [États-Unis] ; Dustin A. Heldman [États-Unis]

Source :

Movement disorders [ 0885-3185 ] ; 2009.

RBID : Pascal:09-0218156

Descripteurs français

Pascal (Inist)
- Tremblement, Maladie de Parkinson, Pathologie du système nerveux, Technologie.
Wicri :
- topic : Technologie.

English descriptors

KwdEn :
- Nervous system diseases, Parkinson disease, Technology, Tremor.

Abstract

The objective was to design, build, and assess Kinesia<^TM>, 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.

Affiliations:

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Pascal:09-0218156

Le document en format XML

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> Technology for Automated Tremor Assessment</title>
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<s2>Cleveland, Ohio</s2>
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<sZ>1 aut.</sZ>
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<country>États-Unis</country>
<placeName><region type="state">Ohio</region>
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<author><name sortKey="Riley, David E" sort="Riley, David E" uniqKey="Riley D" first="David E." last="Riley">David E. Riley</name>
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<s2>Cleveland, Ohio</s2>
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<author><name sortKey="Maddux, Brian N" sort="Maddux, Brian N" uniqKey="Maddux B" first="Brian N." last="Maddux">Brian N. Maddux</name>
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<front><div type="abstract" xml:lang="en">The objective was to design, build, and assess Kinesia<<sup>TM</sup>
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 = 0.89), postural tremor (r<sup>2</sup>
 = 0.90), and kinetic tremor (r<sup>2</sup>
 = 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>
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 = 0.89), postural tremor (r<sup>2</sup>
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	Movement Disorders (revue)
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Movement Disorders (revue)

Clinically Deployable Kinesia Technology for Automated Tremor Assessment

Clinically Deployable Kinesia Technology for Automated Tremor Assessment

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri