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A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor

BACKGROUND: Ordinal scales based on qualitative observation are the mainstay in the clinical assessment of tremor, but are limited by inter-rater reliability, measurement precision, range, and ceiling effects. Quantitative tremor evaluation is well-developed in research, but clinical application has...

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Autores principales: Gauthier-Lafreniere, Etienne, Aljassar, Meshal, Rymar, Vladimir V., Milton, John, Sadikot, Abbas F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386269/
https://www.ncbi.nlm.nih.gov/pubmed/35991289
http://dx.doi.org/10.3389/fninf.2022.878279
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author Gauthier-Lafreniere, Etienne
Aljassar, Meshal
Rymar, Vladimir V.
Milton, John
Sadikot, Abbas F.
author_facet Gauthier-Lafreniere, Etienne
Aljassar, Meshal
Rymar, Vladimir V.
Milton, John
Sadikot, Abbas F.
author_sort Gauthier-Lafreniere, Etienne
collection PubMed
description BACKGROUND: Ordinal scales based on qualitative observation are the mainstay in the clinical assessment of tremor, but are limited by inter-rater reliability, measurement precision, range, and ceiling effects. Quantitative tremor evaluation is well-developed in research, but clinical application has lagged, in part due to cumbersome mathematical application and lack of established standards. OBJECTIVES: To develop a novel method for evaluating tremor that integrates a standardized clinical exam, wrist-watch accelerometers, and a software framework for data analysis that does not require advanced mathematical or computing skills. The utility of the method was tested in a sequential cohort of patients with predominant postural and action tremor presenting to a specialized surgical clinic with the presumptive diagnosis of Essential Tremor (ET). METHODS: Wristwatch accelerometry was integrated with a standardized clinical exam. A MATLAB application was developed for automated data analysis and graphical representation of tremor. Measures from the power spectrum of acceleration of tremor in different upper limb postures were derived in 25 consecutive patients. The linear results from accelerometry were correlated with the commonly used non-linear Clinical Rating Scale for Tremor (CRST). RESULTS: The acceleration power spectrum was reliably produced in all consecutive patients. Tremor frequency was stable in different postures and across patients. Both total and peak power of acceleration during postural conditions correlated well with the CRST. The standardized clinical examination with integrated accelerometry measures was therefore effective at characterizing tremor in a population with predominant postural and action tremor. The protocol is also illustrated on repeated measures in an ET patient who underwent Magnetic Resonance-Guided Focused Ultrasound thalamotomy. CONCLUSION: Quantitative assessment of tremor as a continuous variable using wristwatch accelerometry is readily applicable as a clinical tool when integrated with a standardized clinical exam and a user-friendly software framework for analysis. The method is validated for patients with predominant postural and action tremor, and can be adopted for characterizing tremor of different etiologies with dissemination in a wide variety of clinical and research contexts in ageing populations.
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spelling pubmed-93862692022-08-19 A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor Gauthier-Lafreniere, Etienne Aljassar, Meshal Rymar, Vladimir V. Milton, John Sadikot, Abbas F. Front Neuroinform Neuroinformatics BACKGROUND: Ordinal scales based on qualitative observation are the mainstay in the clinical assessment of tremor, but are limited by inter-rater reliability, measurement precision, range, and ceiling effects. Quantitative tremor evaluation is well-developed in research, but clinical application has lagged, in part due to cumbersome mathematical application and lack of established standards. OBJECTIVES: To develop a novel method for evaluating tremor that integrates a standardized clinical exam, wrist-watch accelerometers, and a software framework for data analysis that does not require advanced mathematical or computing skills. The utility of the method was tested in a sequential cohort of patients with predominant postural and action tremor presenting to a specialized surgical clinic with the presumptive diagnosis of Essential Tremor (ET). METHODS: Wristwatch accelerometry was integrated with a standardized clinical exam. A MATLAB application was developed for automated data analysis and graphical representation of tremor. Measures from the power spectrum of acceleration of tremor in different upper limb postures were derived in 25 consecutive patients. The linear results from accelerometry were correlated with the commonly used non-linear Clinical Rating Scale for Tremor (CRST). RESULTS: The acceleration power spectrum was reliably produced in all consecutive patients. Tremor frequency was stable in different postures and across patients. Both total and peak power of acceleration during postural conditions correlated well with the CRST. The standardized clinical examination with integrated accelerometry measures was therefore effective at characterizing tremor in a population with predominant postural and action tremor. The protocol is also illustrated on repeated measures in an ET patient who underwent Magnetic Resonance-Guided Focused Ultrasound thalamotomy. CONCLUSION: Quantitative assessment of tremor as a continuous variable using wristwatch accelerometry is readily applicable as a clinical tool when integrated with a standardized clinical exam and a user-friendly software framework for analysis. The method is validated for patients with predominant postural and action tremor, and can be adopted for characterizing tremor of different etiologies with dissemination in a wide variety of clinical and research contexts in ageing populations. Frontiers Media S.A. 2022-08-04 /pmc/articles/PMC9386269/ /pubmed/35991289 http://dx.doi.org/10.3389/fninf.2022.878279 Text en Copyright © 2022 Gauthier-Lafreniere, Aljassar, Rymar, Milton and Sadikot. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroinformatics
Gauthier-Lafreniere, Etienne
Aljassar, Meshal
Rymar, Vladimir V.
Milton, John
Sadikot, Abbas F.
A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor
title A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor
title_full A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor
title_fullStr A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor
title_full_unstemmed A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor
title_short A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor
title_sort standardized accelerometry method for characterizing tremor: application and validation in an ageing population with postural and action tremor
topic Neuroinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386269/
https://www.ncbi.nlm.nih.gov/pubmed/35991289
http://dx.doi.org/10.3389/fninf.2022.878279
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