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On the analysis of movement smoothness

Quantitative measures of smoothness play an important role in the assessment of sensorimotor impairment and motor learning. Traditionally, movement smoothness has been computed mainly for discrete movements, in particular arm, reaching and circle drawing, using kinematic data. There are currently ve...

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Autores principales: Balasubramanian, Sivakumar, Melendez-Calderon, Alejandro, Roby-Brami, Agnes, Burdet, Etienne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4674971/
https://www.ncbi.nlm.nih.gov/pubmed/26651329
http://dx.doi.org/10.1186/s12984-015-0090-9
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author Balasubramanian, Sivakumar
Melendez-Calderon, Alejandro
Roby-Brami, Agnes
Burdet, Etienne
author_facet Balasubramanian, Sivakumar
Melendez-Calderon, Alejandro
Roby-Brami, Agnes
Burdet, Etienne
author_sort Balasubramanian, Sivakumar
collection PubMed
description Quantitative measures of smoothness play an important role in the assessment of sensorimotor impairment and motor learning. Traditionally, movement smoothness has been computed mainly for discrete movements, in particular arm, reaching and circle drawing, using kinematic data. There are currently very few studies investigating smoothness of rhythmic movements, and there is no systematic way of analysing the smoothness of such movements. There is also very little work on the smoothness of other movement related variables such as force, impedance etc. In this context, this paper presents the first step towards a unified framework for the analysis of smoothness of arbitrary movements and using various data. It starts with a systematic definition of movement smoothness and the different factors that influence smoothness, followed by a review of existing methods for quantifying the smoothness of discrete movements. A method is then introduced to analyse the smoothness of rhythmic movements by generalising the techniques developed for discrete movements. We finally propose recommendations for analysing smoothness of any general sensorimotor behaviour. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12984-015-0090-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-46749712015-12-11 On the analysis of movement smoothness Balasubramanian, Sivakumar Melendez-Calderon, Alejandro Roby-Brami, Agnes Burdet, Etienne J Neuroeng Rehabil Methodology Quantitative measures of smoothness play an important role in the assessment of sensorimotor impairment and motor learning. Traditionally, movement smoothness has been computed mainly for discrete movements, in particular arm, reaching and circle drawing, using kinematic data. There are currently very few studies investigating smoothness of rhythmic movements, and there is no systematic way of analysing the smoothness of such movements. There is also very little work on the smoothness of other movement related variables such as force, impedance etc. In this context, this paper presents the first step towards a unified framework for the analysis of smoothness of arbitrary movements and using various data. It starts with a systematic definition of movement smoothness and the different factors that influence smoothness, followed by a review of existing methods for quantifying the smoothness of discrete movements. A method is then introduced to analyse the smoothness of rhythmic movements by generalising the techniques developed for discrete movements. We finally propose recommendations for analysing smoothness of any general sensorimotor behaviour. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12984-015-0090-9) contains supplementary material, which is available to authorized users. BioMed Central 2015-12-09 /pmc/articles/PMC4674971/ /pubmed/26651329 http://dx.doi.org/10.1186/s12984-015-0090-9 Text en © Balasubramanian et al. 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology
Balasubramanian, Sivakumar
Melendez-Calderon, Alejandro
Roby-Brami, Agnes
Burdet, Etienne
On the analysis of movement smoothness
title On the analysis of movement smoothness
title_full On the analysis of movement smoothness
title_fullStr On the analysis of movement smoothness
title_full_unstemmed On the analysis of movement smoothness
title_short On the analysis of movement smoothness
title_sort on the analysis of movement smoothness
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4674971/
https://www.ncbi.nlm.nih.gov/pubmed/26651329
http://dx.doi.org/10.1186/s12984-015-0090-9
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