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Clinically deployable Kinesia™ technology for automated tremor assessment
Author(s) -
Giuffrida Joseph P.,
Riley David E.,
Maddux Brian N.,
Heldman Dustin A.
Publication year - 2009
Publication title -
movement disorders
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.352
H-Index - 198
eISSN - 1531-8257
pISSN - 0885-3185
DOI - 10.1002/mds.22445
Subject(s) - physical medicine and rehabilitation , parkinson's disease , rating scale , essential tremor , kinematics , movement disorders , accelerometer , physical therapy , medicine , deep brain stimulation , ranking (information retrieval) , psychology , computer science , disease , artificial intelligence , pathology , developmental psychology , physics , classical mechanics , operating system
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. © 2009 Movement Disorder Society