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  4. On the analysis of movement smoothness
 
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On the analysis of movement smoothness
File(s)
Balasubramanian2015JNER.pdf (505.28 KB)
Published version
Author(s)
Balasubramanian, S
Melendez-Calderon, A
Roby-Brami, A
Burdet, E
Type
Journal Article
Abstract
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.
Date Issued
2015-12-09
Date Acceptance
2015-10-27
Citation
Journal of Neuroengineering and Rehabilitation, 2015, 12
URI
http://hdl.handle.net/10044/1/30687
DOI
https://www.dx.doi.org/10.1186/10.1186/s12984-015-0090-9
ISSN
1743-0003
Publisher
BioMed Central
Journal / Book Title
Journal of Neuroengineering and Rehabilitation
Volume
12
Copyright Statement
© 2015 Balasubramanian et al.
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.
Sponsor
Commission of the European Communities
Commission of the European Communities
Commission of the European Communities
Commission of the European Communities
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000366246500001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
PITN-GA-2012-317488
601003
611626
644727
Subjects
Science & Technology
Technology
Life Sciences & Biomedicine
Engineering, Biomedical
Neurosciences
Rehabilitation
Engineering
Neurosciences & Neurology
Smoothness
Sensorimotor assessment
Discrete movements
Rhythmic movements
Spurious submovement decompositions
Parkinsons-disease
Arm movements
Stroke
Algorithm
Patterns
Recovery
Accurate
Walking
Grasp
Biomedical Engineering
1109 Neurosciences
Publication Status
Published
Article Number
ARTN 112
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