Multisensory stimulation environments (MSE) have grown in popularity particularly among organizations dedicated to children with developmental disabilities. These artificial places are the stage for a custom-made intervention that relies on technological artifacts to induce a general feeling of relaxation and well-being, from which leisure, occupational or therapeutic objectives are pursued. Ch...

Increasing evidence suggests that brain signal variability is an important measure of brain function reflecting information processing capacity and functional integrity. In this study, we examined how maturation from childhood to adulthood affects the magnitude and spatial extent of state-to-state transitions in brain signal variability, and how this relates to cognitive performance. We looked ...

An important aspect of estimation theory is characterizing the best achievable performance in a given estimation problem, as well as determining estimators that achieve the optimal performance. The traditional Cramér-Rao type bounds provide benchmarks on the variance of any estimator of a deterministic parameter vector under suitable regularity conditions, while requiring a-priori specification...

OBJECTIVE Multiscale entropy (MSE) is a recently proposed entropy-based index of physiological complexity, evaluating signals at multiple temporal scales. To test this method as an aid to elucidating the pathophysiology of Alzheimer's disease (AD), we examined MSE in resting state EEG activity in comparison with traditional EEG analysis. METHODS We recorded EEG in medication-free 15 presenile...

MetaSearch is utilizing multiple other search systems to perform simultaneous search. A MetaSearch Engine (MSE) is a search system that enables MetaSearch. To perform a MetaSearch, user query is sent to multiple search engines; once the search results returned, they are received by the MSE, then merged into a single ranked list and the ranked list is presented to the user. When a query is submi...

Continuous glucose monitoring (CGM) is a platform to measure blood glucose (BG) levels continuously in real time with high enough resolution to document their underlying fluctuations. Multiscale entropy (MSE) analysis has been proposed as a measure of time-series complexity, and when applied to clinical CGM data, MSE analysis revealed that diabetic patients have lower MSE complexity in their BG...

How variability in the brain’s neurophysiologic signals evolves during development is important for a global, system-level understanding of brain maturation and its disturbance in neurodevelopmental disorders. In the current study, we use multiscale entropy (MSE), a measure that has been related to signal complexity, to investigate how this variability evolves during development across a broad ...

In this paper we consider a regression model and a general family of shrinkage estimators of regression coefficients. We derive the formula for the mean squared error (MSE) of the estimators for each individual regression coefficient. It is shown analytically that the usual shrinkage estimators are dominated by their positivepart variants in terms of MSE.

Quantifying the complexity of physiologic time series has been of considerable interest. Several entropybased measures have been proposed, although there is no straightforward correspondence between entropy and complexity. These traditional algorithms may generate misleading results because an increase in system entropy is not always associated with an increase in its complexity, and because th...