2021
DOI: 10.14814/phy2.15067
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A review of center of pressure (COP) variables to quantify standing balance in elderly people: Algorithms and open‐access code*

Abstract: This is an open access article under the terms of the Creat ive Commo ns Attri bution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Cited by 118 publications
(117 citation statements)
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References 181 publications
(292 reference statements)
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“…To assess the effect of support and floor condition on movement stability and body posture, the following dependent variables were calculated: 1) movement speed in terms of the total duration of standing up and sitting down and the relative event of seat-off or seat-on; 2) stability in terms of the total 2D horizontal COP feet path length averaged over both legs ( Pinsault and Vuillerme 2009 ; Ringhof and Stein 2018 ) and 95% confidence ellipse area (sway area) averaged over both legs from seat-off to a stable stance and vice versa ( Quijoux et al, 2021 ); and 3) posture in terms of sagittal plane angles at a quiet stance in the hip, knee, and ankle joint averaged over both legs. Descriptive data are presented as means and standard deviations for the dependent variables.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…To assess the effect of support and floor condition on movement stability and body posture, the following dependent variables were calculated: 1) movement speed in terms of the total duration of standing up and sitting down and the relative event of seat-off or seat-on; 2) stability in terms of the total 2D horizontal COP feet path length averaged over both legs ( Pinsault and Vuillerme 2009 ; Ringhof and Stein 2018 ) and 95% confidence ellipse area (sway area) averaged over both legs from seat-off to a stable stance and vice versa ( Quijoux et al, 2021 ); and 3) posture in terms of sagittal plane angles at a quiet stance in the hip, knee, and ankle joint averaged over both legs. Descriptive data are presented as means and standard deviations for the dependent variables.…”
Section: Methodsmentioning
confidence: 99%
“…Because the center of pressure (COP) reflects the neuromuscular response to control the center of mass (COM) within the base of support, it has an important role in terms of maintaining stability ( Sloot et al, 2020 ; Richmond et al, 2021 ). Therefore, we analyzed throughout the standing up and sitting down the total 2D horizontal COP (COP feet ) path length of the feet ( Pinsault and Vuillerme 2009 ; Ringhof and Stein 2018 ) and the sway area ( Quijoux et al, 2021 ). Furthermore, as rollators can lead to a hunched body position that is described as detrimental for overloading the upper body and building a rather unstable body position ( Carey and Crompton 2005 ; Drzał-Grabiec et al, 2013 ; Boyer et al, 2017 ), we analyzed the body posture at the end of the standing up movement to detect if the variations in support also lead to the posture variations that are described in walking.…”
Section: Introductionmentioning
confidence: 99%
“…The CoP and its displacements during a steady-state task are used to represent a subject’s postural sway. The analysis of a subject’s postural control based on a posturography relies on features (i.e., global variables) extracted from the COP trajectory during recording, such as the mean or maximal amplitude or velocity, the mean frequency, or the ellipse area covering the signal [ 19 ]. A 2-dimensional projection of the CoP trajectory (i.e., statokinesigram, see Figure 1 ) can also be generated from the recording for visual analysis, which can be useful for clinical applications as it is a faster than extracting and analyzing CoP features.…”
Section: Introductionmentioning
confidence: 99%
“…Rather, research has focused primarily on quantifying the stability of the postural system, often during laboratory-specific paradigms. In assessing stability, linear assessments of the center of pressure (e.g., ellipse area) and relations of the center of mass to the base of support (e.g., proximity) have been widely studied [ 3 ]. While it is true that these measures may provide valuable information in certain contexts, inherent assumptions of linearity restrict the breadth and depth of information that might be gleaned.…”
Section: Introductionmentioning
confidence: 99%