Normal subject postural sway during the romberg test

Black, F. Owen; Wall, Conrad; Rockette, Howard E.; Kitch, Russell

doi:10.1016/s0196-0709(82)80002-1

Cited by 180 publications

(81 citation statements)

References 9 publications

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“…The tandem Romberg is the same as the standard Romberg, except that the feet are placed heel to toe rather than side by side. This posture, which attenuates the usefulness of ankle TPK and reflexes, may allow visual information to have a larger influence on postural equilibrium.f It has been successfully used in the past to examine equilibrium (e.g., Black, Wall, Rockette, & Kitch, 1982;Fregly, 1974).…”

Section: Resultsmentioning

confidence: 99%

Some visual influences on human postural equilibrium: Binocular versus monocular fixation

Fox

1990

Perception & Psychophysics

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The importance of vision for postural equilibrium has long been known; traditionally, this visual contribution to the control of posture has been analyzed primarily in terms of optical and retinal phenomena. Recently, however, there has been some suggestion that binocular and monocular fixation of identical stimuli have differential effects. Three experiments were conducted in order to measure self-generated movement (sway during quiet standing) of the body's center of gravity while field structure, ankle proprioception, and binocular/monocular fixation were varied. Field structure was varied from total darkness, to the presence of single and multiple LEDs in the dark, to full field structure (i.e., the richness of the feedback information was varied). Ankle proprioception was varied by changing foot position from side-by-side to heel-to-toe positions. Results indicate that (1) ankle-joint input is a significant factor in reducing sway, (2) binocular fixation attenuates sway relative to monocular fixation, under otherwise identical visual conditions, and (3) this difference persists in total darkness. Taken together, the data indicate that the visual influence on postural equilibrium results from a complex synergy that receives multimodal inputs. A simple optical/retinal explanation is not sufficient.

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Section: Resultsmentioning

confidence: 99%

Some visual influences on human postural equilibrium: Binocular versus monocular fixation

Fox

1990

Perception & Psychophysics

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“…The results showed that female subjects swayed less than males on both the dominant and the nondominant leg measurements in all directions (antero-posterior and medio-lateral directions). Previous research is inconclusive with respect to gender differences in postural control performance (23)(24)(25). Some studies have reported poorer balance control for men and attributed their results to anatomical disadvantages of men for controlling COM sway.…”

Section: Discussionmentioning

confidence: 99%

Influence of Leg Dominance on Single-Leg Stance Performance During Dynamic Conditions: An Investigation into the Validity of Symmetry Hypothesis for Dynamic Postural Control in Healthy Individuals

Cuğ¹,

Ozdemir²,

Ak³

2014

Turk J Phys Med Rehab

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Objective: The primary purpose of the present study was to examine differences in balance performance between the dominant and nondominant legs during dynamic balance tasks in healthy individuals with no regular exercise backgrounds. As a secondary purpose, gender differences in single-leg stance were also investigated. Material and Methods: Twenty-one men and 24 women participated in this study. Single-leg balance performance was evaluated by the Biodex Stability System SD. All subjects were tested at level 1 for 20 sec, and 1-minute rest intervals were provided among 6 trials for each leg. Results: According to the results, there was no multivariate effect of leg dominance on any stability index, indicating symmetry between limbs in terms of balance performance. Mean comparisons showed that women had significantly better balance scores than men on overall (p<0.05), antero-posterior (p<0.05), and medio-lateral (p<0.05) stability indexes. Conclusion: Functional symmetry exists between the dominant and nondominant leg in all stability indexes of balance performance of sedentary individuals. Female subjects swayed less than males on both the dominant and the nondominant leg measurements in all directions (overall, antero-posterior, and medio-lateral directions).

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“…As it is well known, wavelet transform method has the advantage of analyzing signals in a multi-scale manner by varying the scale coefficient (representing frequency) [19]. The wavelet function is defined at scale a and location b as:…”

Section: Discrete Wavelet Decompositionmentioning

confidence: 99%

“…where x(t) is the time series data and T(a,b) is the "wavelet coefficient" (WC) at timescale a and time instant b [19]. In this study, Daubechies (db2) wavelet function is used to decompose the stabilogram.…”

Section: Discrete Wavelet Decompositionmentioning

confidence: 99%

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Discrete wavelet and modified PCA decompositions for postural stability analysis in biometric applications

Maatar¹,

Fournier²,

Lachiri³

et al. 2011

JBiSE

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The aim of this study is to compare the Discrete wavelet decomposition and the modified Principal Analysis Component (PCA) decomposition to analyze the stabilogram for the purpose to provide a new insight about human postural stability. Discrete wavelet analysis is used to decompose the stabilogram into several timescale components (i.e. detail wavelet coefficients and approximation wavelet coefficients). Whereas, the modified PCA decomposition is applied to decompose the stabilogram into three components, namely: trend, rambling and trembling. Based on the modified PCA analysis, the trace of analytic trembling and rambling in the complex plan highlights a unique rotation center. The same property is found when considering the detail wavelet coefficients. Based on this property, the area of the circle in which 95% of the trace's data points are located, is extracted to provide important information about the postural equilibrium status of healthy subjects (average age 31 ± 11 years). Based on experimental results, this parameter seems to be a valuable parameter in order to highlight the effect of visual entries, stabilogram direction, gender and age on the postural stability. Obtained results show also that wavelets and the modified PCA decomposition can discriminate the subjects by gender which is particularly interesting in biometric applications and human stability simulation. Moreover, both techniques highlight the fact that male are less stable than female and the fact that there is no correlation between human stability and his age (under 60).

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Normal subject postural sway during the romberg test

Cited by 180 publications

References 9 publications

Some visual influences on human postural equilibrium: Binocular versus monocular fixation

Some visual influences on human postural equilibrium: Binocular versus monocular fixation

Influence of Leg Dominance on Single-Leg Stance Performance During Dynamic Conditions: An Investigation into the Validity of Symmetry Hypothesis for Dynamic Postural Control in Healthy Individuals

Discrete wavelet and modified PCA decompositions for postural stability analysis in biometric applications

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