Clinically deployable Kinesia™ technology for automated tremor assessment
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...
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| Published in | Movement disorders Vol. 24; no. 5; pp. 723 - 730 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Hoboken
Wiley Subscription Services, Inc., A Wiley Company
15.04.2009
Wiley |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0885-3185 1531-8257 1531-8257 |
| DOI | 10.1002/mds.22445 |
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| Summary: | 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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| Bibliography: | National Institute of Neurological Disorders and Stroke Potential conflict of interest: Dr. Giuffrida and Dr. Heldman are employess of CleveMed. Phase II SBIR - No. 5R44NS043816-03 ark:/67375/WNG-2J9KJGDQ-R National Institutes of Health ArticleID:MDS22445 istex:5E3ECD49515AA95782467635A7EEFFE83BEF1245 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 0885-3185 1531-8257 1531-8257 |
| DOI: | 10.1002/mds.22445 |