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Children with cerebral palsy exhibit greater and more regular postural sway than typically developing children

TLDR
CP children might benefit from therapies involving postural tasks with an external functional context for postural control, and concurrent visual feedback decreases both the amount and regularity of sway.
Abstract
Following recent advances in the analysis of centre-of-pressure (COP) recordings, we examined the structure of COP trajectories in ten children (nine in the analyses) with cerebral palsy (CP) and nine typically developing (TD) children while standing quietly with eyes open (EO) and eyes closed (EC) and with concurrent visual COP feedback (FB). In particular, we quantified COP trajectories in terms of both the amount and regularity of sway. We hypothesised that: (1) compared to TD children, CP children exhibit a greater amount of sway and more regular sway and (2) concurrent visual feedback (creating an external functional context for postural control, inducing a more external focus of attention) decreases both the amount of sway and sway regularity in TD and CP children alike, while closing the eyes has opposite effects. The data were largely in agreement with both hypotheses. Compared to TD children, the amount of sway tended to be larger in CP children, while sway was more regular. Furthermore, the presence of concurrent visual feedback resulted in less regular sway compared to the EO and EC conditions. This effect was less pronounced in the CP group where posturograms were most regular in the EO condition rather than in the EC condition, as in the control group. Nonetheless, we concluded that CP children might benefit from therapies involving postural tasks with an external functional context for postural control.

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Citations
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Nonlinear Time Series Analysis.

TL;DR: This thesis applies neural network feature selection techniques to multivariate time series data to improve prediction of a target time series and results indicate that the Stochastics and RSI indicators result in better prediction results than the moving averages.
Journal ArticleDOI

On the use of sample entropy to analyze human postural sway data.

TL;DR: It is shown that the computed SampEn successfully discriminates two sensory conditions (eyes-open and eyes-closed) in a group of healthy young adults and a practical method to select the input parameters of the SampEn algorithm is presented.
Journal ArticleDOI

Use of virtual reality to enhance balance and ambulation in chronic stroke: a double-blind, randomized controlled study.

TL;DR: This study demonstrates that virtual reality has an augmented effect on balance and associated locomotor recovery in adults with hemiparetic stroke when added to conventional therapy.
Journal ArticleDOI

Sway regularity reflects attentional involvement in postural control: Effects of expertise, vision and cognition

TL;DR: The main finding was that the time-dependent structure of the COP trajectories of dancers exhibited less regularity than that of non-dancers, as evidenced by a higher sample entropy (decreased statistical regularity) and COP irregularity also increased during secondary task performance but decreased during standing with eyes closed.
Journal ArticleDOI

Center-of-pressure regularity as a marker for attentional investment in postural control: a comparison between sitting and standing postures

TL;DR: An assessment of COP regularity may not only be instrumental in the examination of attentional investment in posture in between-subject designs, but also for different postures in within-subjects designs.
References
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Journal ArticleDOI

PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.

TL;DR: The newly inaugurated Research Resource for Complex Physiologic Signals (RRSPS) as mentioned in this paper was created under the auspices of the National Center for Research Resources (NCR Resources).
Journal ArticleDOI

Physiological time-series analysis using approximate entropy and sample entropy

TL;DR: A new and related complexity measure is developed, sample entropy (SampEn), and a comparison of ApEn and SampEn is compared by using them to analyze sets of random numbers with known probabilistic character, finding SampEn agreed with theory much more closely than ApEn over a broad range of conditions.
Journal ArticleDOI

Approximate entropy as a measure of system complexity.

TL;DR: Analysis of a recently developed family of formulas and statistics, approximate entropy (ApEn), suggests that ApEn can classify complex systems, given at least 1000 data values in diverse settings that include both deterministic chaotic and stochastic processes.
Journal ArticleDOI

Testing for nonlinearity in time series: the method of surrogate data

TL;DR: In this article, a statistical approach for identifying nonlinearity in time series is described, which first specifies some linear process as a null hypothesis, then generates surrogate data sets which are consistent with this null hypothesis and finally computes a discriminating statistic for the original and for each of the surrogate sets.

Testing for nonlinearity in time series: The method of surrogate data

TL;DR: A statistical approach for identifying nonlinearity in time series which is demonstrated for numerical data generated by known chaotic systems, and applied to a number of experimental time series, which arise in the measurement of superfluids, brain waves, and sunspots.
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