A review of center of pressure (COP) variables to quantify standing balance in elderly people: Algorithms and open‐access code*

Abstract Postural control is often quantified by recording the trajectory of the center of pressure (COP)—also called stabilogram—during human quiet standing. This quantification has many important applications, such as the early detection of balance degradation to prevent falls, a crucial task whos...

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Autores principales:	Flavien Quijoux, Alice Nicolaï, Ikram Chairi, Ioannis Bargiotas, Damien Ricard, Alain Yelnik, Laurent Oudre, François Bertin‐Hugault, Pierre‐Paul Vidal, Nicolas Vayatis, Stéphane Buffat, Julien Audiffren
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	center of pressure elderly postural control quiet standing Physiology QP1-981
Acceso en línea:	https://doaj.org/article/e2a286f62e3643ff9477f340b59d47cc
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spelling	oai:doaj.org-article:e2a286f62e3643ff9477f340b59d47cc2021-11-27T15:48:30ZA review of center of pressure (COP) variables to quantify standing balance in elderly people: Algorithms and open‐access code*2051-817X10.14814/phy2.15067https://doaj.org/article/e2a286f62e3643ff9477f340b59d47cc2021-11-01T00:00:00Zhttps://doi.org/10.14814/phy2.15067https://doaj.org/toc/2051-817XAbstract Postural control is often quantified by recording the trajectory of the center of pressure (COP)—also called stabilogram—during human quiet standing. This quantification has many important applications, such as the early detection of balance degradation to prevent falls, a crucial task whose relevance increases with the aging of the population. Due to the complexity of the quantification process, the analyses of sway patterns have been performed empirically using a number of variables, such as ellipse confidence area or mean velocity. This study reviews and compares a wide range of state‐of‐the‐art variables that are used to assess the risk of fall in elderly from a stabilogram. When appropriate, we discuss the hypothesis and mathematical assumptions that underlie these variables, and we propose a reproducible method to compute each of them. Additionally, we provide a statistical description of their behavior on two datasets recorded in two elderly populations and with different protocols, to hint at typical values of these variables. First, the balance of 133 elderly individuals, including 32 fallers, was measured on a relatively inexpensive, portable force platform (Wii Balance Board, Nintendo) with a 25‐s open‐eyes protocol. Second, the recordings of 76 elderly individuals, from an open access database commonly used to test static balance analyses, were used to compute the values of the variables on 60‐s eyes‐open recordings with a research laboratory standard force platform.Flavien QuijouxAlice NicolaïIkram ChairiIoannis BargiotasDamien RicardAlain YelnikLaurent OudreFrançois Bertin‐HugaultPierre‐Paul VidalNicolas VayatisStéphane BuffatJulien AudiffrenWileyarticlecenter of pressureelderlypostural controlquiet standingPhysiologyQP1-981ENPhysiological Reports, Vol 9, Iss 22, Pp n/a-n/a (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	center of pressure elderly postural control quiet standing Physiology QP1-981
spellingShingle	center of pressure elderly postural control quiet standing Physiology QP1-981 Flavien Quijoux Alice Nicolaï Ikram Chairi Ioannis Bargiotas Damien Ricard Alain Yelnik Laurent Oudre François Bertin‐Hugault Pierre‐Paul Vidal Nicolas Vayatis Stéphane Buffat Julien Audiffren A review of center of pressure (COP) variables to quantify standing balance in elderly people: Algorithms and open‐access code*
description	Abstract Postural control is often quantified by recording the trajectory of the center of pressure (COP)—also called stabilogram—during human quiet standing. This quantification has many important applications, such as the early detection of balance degradation to prevent falls, a crucial task whose relevance increases with the aging of the population. Due to the complexity of the quantification process, the analyses of sway patterns have been performed empirically using a number of variables, such as ellipse confidence area or mean velocity. This study reviews and compares a wide range of state‐of‐the‐art variables that are used to assess the risk of fall in elderly from a stabilogram. When appropriate, we discuss the hypothesis and mathematical assumptions that underlie these variables, and we propose a reproducible method to compute each of them. Additionally, we provide a statistical description of their behavior on two datasets recorded in two elderly populations and with different protocols, to hint at typical values of these variables. First, the balance of 133 elderly individuals, including 32 fallers, was measured on a relatively inexpensive, portable force platform (Wii Balance Board, Nintendo) with a 25‐s open‐eyes protocol. Second, the recordings of 76 elderly individuals, from an open access database commonly used to test static balance analyses, were used to compute the values of the variables on 60‐s eyes‐open recordings with a research laboratory standard force platform.
format	article
author	Flavien Quijoux Alice Nicolaï Ikram Chairi Ioannis Bargiotas Damien Ricard Alain Yelnik Laurent Oudre François Bertin‐Hugault Pierre‐Paul Vidal Nicolas Vayatis Stéphane Buffat Julien Audiffren
author_facet	Flavien Quijoux Alice Nicolaï Ikram Chairi Ioannis Bargiotas Damien Ricard Alain Yelnik Laurent Oudre François Bertin‐Hugault Pierre‐Paul Vidal Nicolas Vayatis Stéphane Buffat Julien Audiffren
author_sort	Flavien Quijoux
title	A review of center of pressure (COP) variables to quantify standing balance in elderly people: Algorithms and open‐access code*
title_short	A review of center of pressure (COP) variables to quantify standing balance in elderly people: Algorithms and open‐access code*
title_full	A review of center of pressure (COP) variables to quantify standing balance in elderly people: Algorithms and open‐access code*
title_fullStr	A review of center of pressure (COP) variables to quantify standing balance in elderly people: Algorithms and open‐access code*
title_full_unstemmed	A review of center of pressure (COP) variables to quantify standing balance in elderly people: Algorithms and open‐access code*
title_sort	review of center of pressure (cop) variables to quantify standing balance in elderly people: algorithms and open‐access code*
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/e2a286f62e3643ff9477f340b59d47cc
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A review of center of pressure (COP) variables to quantify standing balance in elderly people: Algorithms and open‐access code*

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