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Quantitative Assessment of Parkinsonian Tremor Based on an Inertial Measurement Unit

Quantitative assessment of parkinsonian tremor based on inertial sensors can provide reliable feedback on the effect of medication. In this regard, the features of parkinsonian tremor and its unique properties such as motor fluctuations and dyskinesia are taken into account. Least-square-estimation...

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Detalles Bibliográficos
Autores principales: Dai, Houde, Zhang, Pengyue, Lueth, Tim C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634500/
https://www.ncbi.nlm.nih.gov/pubmed/26426020
http://dx.doi.org/10.3390/s151025055
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author Dai, Houde
Zhang, Pengyue
Lueth, Tim C.
author_facet Dai, Houde
Zhang, Pengyue
Lueth, Tim C.
author_sort Dai, Houde
collection PubMed
description Quantitative assessment of parkinsonian tremor based on inertial sensors can provide reliable feedback on the effect of medication. In this regard, the features of parkinsonian tremor and its unique properties such as motor fluctuations and dyskinesia are taken into account. Least-square-estimation models are used to assess the severities of rest, postural, and action tremors. In addition, a time-frequency signal analysis algorithm for tremor state detection was also included in the tremor assessment method. This inertial sensor-based method was verified through comparison with an electromagnetic motion tracking system. Seven Parkinson’s disease (PD) patients were tested using this tremor assessment system. The measured tremor amplitudes correlated well with the judgments of a neurologist (r = 0.98). The systematic analysis of sensor-based tremor quantification and the corresponding experiments could be of great help in monitoring the severity of parkinsonian tremor.
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spelling pubmed-46345002015-11-23 Quantitative Assessment of Parkinsonian Tremor Based on an Inertial Measurement Unit Dai, Houde Zhang, Pengyue Lueth, Tim C. Sensors (Basel) Article Quantitative assessment of parkinsonian tremor based on inertial sensors can provide reliable feedback on the effect of medication. In this regard, the features of parkinsonian tremor and its unique properties such as motor fluctuations and dyskinesia are taken into account. Least-square-estimation models are used to assess the severities of rest, postural, and action tremors. In addition, a time-frequency signal analysis algorithm for tremor state detection was also included in the tremor assessment method. This inertial sensor-based method was verified through comparison with an electromagnetic motion tracking system. Seven Parkinson’s disease (PD) patients were tested using this tremor assessment system. The measured tremor amplitudes correlated well with the judgments of a neurologist (r = 0.98). The systematic analysis of sensor-based tremor quantification and the corresponding experiments could be of great help in monitoring the severity of parkinsonian tremor. MDPI 2015-09-29 /pmc/articles/PMC4634500/ /pubmed/26426020 http://dx.doi.org/10.3390/s151025055 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dai, Houde
Zhang, Pengyue
Lueth, Tim C.
Quantitative Assessment of Parkinsonian Tremor Based on an Inertial Measurement Unit
title Quantitative Assessment of Parkinsonian Tremor Based on an Inertial Measurement Unit
title_full Quantitative Assessment of Parkinsonian Tremor Based on an Inertial Measurement Unit
title_fullStr Quantitative Assessment of Parkinsonian Tremor Based on an Inertial Measurement Unit
title_full_unstemmed Quantitative Assessment of Parkinsonian Tremor Based on an Inertial Measurement Unit
title_short Quantitative Assessment of Parkinsonian Tremor Based on an Inertial Measurement Unit
title_sort quantitative assessment of parkinsonian tremor based on an inertial measurement unit
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634500/
https://www.ncbi.nlm.nih.gov/pubmed/26426020
http://dx.doi.org/10.3390/s151025055
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