Recurrence analysis of human postural sway during the sensory organization test

Riley, Michael A.; Clark, Sean

doi:10.1016/s0304-3940(03)00229-5

Cited by 87 publications

(77 citation statements)

References 11 publications

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“…Various parameters derived from the center of pressure (COP) signal provide different types of information on postural control mechanisms [7]. Displacements of the COP in anteroposterior and/or mediolateral directions are used in the analysis of postural sway [8,9]. Recurrence quantification *5.…”

Section: Introductionmentioning

confidence: 99%

Expanded Disability Status Scale (EDSS) estimation in multiple sclerosis from posturographic data

et al. 2013

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Expanded disability status scale (EDSS) is the most widely used clinical scale to evaluate levels of multiple sclerosis (MS). As MS can lead to disruptions in the regulation of balance and the disability can be evaluated by force platform posturography, we have developed in this study a new strategy to estimate EDSS from postural data. 118 volunteers with EDSS ranging from 0 to 4.5 participated in this study, with eyes closed. By using second-order polynomial regression models, EDSS was estimated from two postural sway parameters, respectively, the length and the surface and four recurrence quantification analysis (RQA) parameters: percentage of recurrence (%Rec), Shannon entropy (Ent), mean diagonal line length (LL) and trapping time (TT). In addition, all four RQA parameters were calculated for position, instantaneous velocity and acceleration of the center of pressure. In order to select the most accurate method for estimating EDSS, four statistical indices (percentage of agreement, underestimation and overestimation, as well as mean error) were calculated comparing clinical and estimated EDSS scores. The results demonstrate that estimations of EDSS from surface, %Rec and LL of position, best agreed with clinical scores. This study emphasizes the possibility of distinguishing EDSS scores using postural sway and RQA parameters.

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Section: Introductionmentioning

confidence: 99%

Expanded Disability Status Scale (EDSS) estimation in multiple sclerosis from posturographic data

et al. 2013

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“…RQA therefore provides a wide range of indicators informing about the nature of the variability within a time series, taking into account the order of the data points. It has been successfully but little used so far in the movement and sport sciences (e.g., Cotuk & Yavuz, 2007;Riley, et al, 1999;Riley & Clark, 2003), probably because it requires the identification of a substantial number of input parameters to be appropriately used. Examples of recurrence plots based on a random signal (left) and a sinusoidal signal (right) (dimension = 2, time lag = 0.04s, radius = 10% of the mean size of the phase space).…”

Section: Recurrence Quantification Analysismentioning

confidence: 99%

“…Conversely, postural sway is greater when information from one of these sensory systems is missing and greatest when two sources of sensory information are missing (Peterka & Black, 1990). When visual or somatosensory information are unavailable or altered, Riley and Clark (2003) found that postural sway becomes more regular, in addition to the changes in the amount of variability of the COP (i.e. surface and displacement).…”

Section: Functional Organization Of the Postural Control Systemmentioning

confidence: 99%

What Variability tells us about motor expertise: measurements and perspectives from a complex system approach

Komar

Seifert

Thouvarecq

2015

Mov Sport Sci/Sci Mot

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Abstract. In this review, we revisit the concept of movement variability in motor expertise from the perspective of complex systems theory; we do so by defining performers and their relationships with the environment. The complex systems perspective places the focus on the functional role of movement variability as an emergent response to interacting constraints as performers pursue taskgoals. We therefore show how the shift in theoretical focus towards the functional role of variability has entailed a reconsideration of the way this key property of motor expertise should be assessed. We then present the main theoretical issues surrounding movement variability and expertise through examples of empirical applications of the relevant tools and concepts in the sport and movement sciences.Key words: Expert performance, adaptability, degeneracy, cluster analysis, recurrence quantification analysis Résumé. Ce que la variabilité motrice nous apprend sur l'expertise : mesures et perspectives du point de vue des théories de la complexité.À travers cette revue, nous revisitons le concept de variabilité motrice et sa relation à la notion d'expertise à partir d'un point de vue emprunté aux théories de la complexité. Pour cela, nous nous intéressons dans un premier temps à un niveau général qui décrit la relation qu'entretient un sujet avec son environnement. Au sein de cette relation sujet-environnement, une perspective issue des théories de la complexité porte alors une attention toute particulière au rôle fonctionnel de la variabilité motrice comme propriété émergente de l'interaction de contraintes pesant sur le sujet. À partir de ce postulat, nous proposons ensuite de reconsidérer la manière dont la variabilité motrice est évaluée à partir de l'utilisation de statistiques non-linéaires ou non-supervisés, ceci afin de répondre à cette acception de la variabilité comme élément clé de l'expertise motrice. Enfin, nous présentons quelques exemples de questionnements théoriques soulevés par notre positionnement à travers un approfondissement d'études empiriques réalisées dans le domaine du sport et des sciences du mouvement humain.

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“…[16][17][18] This test separates theses sensory contributions by removing or distorting the surface or vision. 16,19,20 The cost of equipment is one of the major difficulties in using computerized posturography in balance testing (force platform); the other is transporting it to other sites.…”

Section: Introductionmentioning

confidence: 99%

Análise do equilíbrio postural estático utilizando um sistema eletromagnético tridimensional

Carneiro

Santos-Pontelli

Colafêmina

et al. 2010

Braz. j. otorhinolaryngol. (Impr.)

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Earl y detection of postural disorders is essential for timely interventions in patients with imbalance. Aim:A pilot study describing a new tool for evaluating static postural balance.Study Design: A cross-sectional study of a contemporary series. Material and Method:Twenty-five volunteers (15 women and 10 men) were evaluated. The mean age was 25.8 ± 4.2 years, the mean weight was 63.9 ± 13.1Kg, the mean height was 1.68 ± 0.08 m and the body mass index was 22.3±3.3kg/m2. Posturography was done by analysing postural sway with an electromagnetic system; a sensor was attached to the skin over the spinous process of the first thoracic vertebra. Tests were carried out with the subjects in the orthostatic position for 90 seconds, with eyes opened(EO) and closed(EC) on stable and unstable surfaces.Results: When the influence of the surface was analyzed (stable x unstable) in the EO condition, there were significant differences in the middle-lateral parameters (m-l) (p=0.004) and total path (p=0.01), and in the m-l (p=0.004) and total (p=0.014) speed. In the EC condition, there were significant differences in all parameters (p<0.001). The influence of the vision was observed in all parameters only on unstable surfaces (p<0.05). Conclusion:The new tool was efficient for analysing postural sway. Braz J Otorhinolaryngol. 2010;76(6):783-8. ORIGINAL ARTICLE BJORL

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Recurrence analysis of human postural sway during the sensory organization test

Cited by 87 publications

References 11 publications

Expanded Disability Status Scale (EDSS) estimation in multiple sclerosis from posturographic data

Expanded Disability Status Scale (EDSS) estimation in multiple sclerosis from posturographic data

What Variability tells us about motor expertise: measurements and perspectives from a complex system approach

Análise do equilíbrio postural estático utilizando um sistema eletromagnético tridimensional

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