Literature DB >> 21570891

Essential tremor quantification during activities of daily living.

Dustin A Heldman1, Joseph Jankovic, David E Vaillancourt, Janey Prodoehl, Rodger J Elble, Joseph P Giuffrida.   

Abstract

BACKGROUND: Essential tremor (ET), characterized primarily by postural and kinetic tremor, is typically measured in the clinic with subjective tremor rating scales. These ratings are often used to adjust medications and assess efficacy in clinical trials. However, tremor ratings require the presence of a clinician and do not necessarily capture tremor fluctuations throughout the day during activities of daily living (ADL).
OBJECTIVE: To evaluate the ability of motion sensors to discriminate tremor from voluntary posture and motion, classify tremor as postural or kinetic, and rate tremor severity during standardized tasks and non-standardized activities of daily living.
METHODS: Ten subjects with ET wore motion sensors on the index finger and performed standardized motor tasks from the Washington Heights-Inwood Genetic Study of Essential Tremor (WHIGET) tremor rating scale (wTRS) and non-standardized ADL tasks. Four movement disorder specialists independently rated video segments of the standardized tasks but not the ADL tasks. Quantitative features were extracted from the motion sensors and used to develop mathematical models for predicting rating scores from kinematic data.
RESULTS: The quantitative motion features were highly correlated with wTRS ratings for postural (r = 0.90) and kinetic (r = 0.80) tremors. Mathematical models produced tremor ratings that correlated strongly with clinician ratings of the wTRS tasks (mean r = 0.80) and also produced ADL task ratings that correlated well with the most recent clinician wTRS ratings (mean r = 0.72).
CONCLUSIONS: Recordings from motion sensors can be used to classify tremor as postural or kinetic and quantify tremor severity during both standardized and non-standardized activities.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21570891      PMCID: PMC3137659          DOI: 10.1016/j.parkreldis.2011.04.017

Source DB:  PubMed          Journal:  Parkinsonism Relat Disord        ISSN: 1353-8020            Impact factor:   4.891


  21 in total

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5.  Validity of a performance-based test of function in essential tremor.

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8.  Long-term effect of deep brain stimulation for essential tremor on activities of daily living and health-related quality of life.

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9.  Clinically deployable Kinesia technology for automated tremor assessment.

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Authors:  W C Koller; V L Royse
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  28 in total

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Journal:  Parkinsonism Relat Disord       Date:  2013-09-19       Impact factor: 4.891

4.  The primacy of rhythm: how discrete actions merge into a stable rhythmic pattern.

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Review 6.  Transducer-based evaluation of tremor.

Authors:  Dietrich Haubenberger; Giovanni Abbruzzese; Peter G Bain; Nin Bajaj; Julián Benito-León; Kailash P Bhatia; Günther Deuschl; Maria João Forjaz; Mark Hallett; Elan D Louis; Kelly E Lyons; Tiago A Mestre; Jan Raethjen; Maria Stamelou; Eng-King Tan; Claudia M Testa; Rodger J Elble
Journal:  Mov Disord       Date:  2016-06-06       Impact factor: 10.338

7.  Continuous Assessment of Levodopa Response in Parkinson's Disease Using Wearable Motion Sensors.

Authors:  Christopher L Pulliam; Dustin A Heldman; Elizabeth B Brokaw; Thomas O Mera; Zoltan K Mari; Michelle A Burack
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8.  Automated motion sensor quantification of gait and lower extremity bradykinesia.

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9.  Effects of ventral intermediate nucleus deep brain stimulation across multiple effectors in essential tremor.

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10.  Clinician versus machine: reliability and responsiveness of motor endpoints in Parkinson's disease.

Authors:  Dustin A Heldman; Alberto J Espay; Peter A LeWitt; Joseph P Giuffrida
Journal:  Parkinsonism Relat Disord       Date:  2014-03-05       Impact factor: 4.891

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