We apply flicker-noise spectroscopy (FNS), a time series analysis method operating on
structure functions and power spectrum estimates, to study the clinical …

We design a scheme of an automated intelligent system for monitoring the evolution of
complex composite objects. We develop new methods for the analysis of multi-parameter …

Study of the cross-correlation between EEGs can be used to detect susceptibility to
schizophrenia in children and adolescents (11 to 14 years old). To find diagnostic …

The application of data science for the analysis of biomedical data presented as time series
allows using new methods of analysis of living systems. Therefore, using these methods it …

Principles are described for diagnosing epilepsy on the basis of the Memory Function
Formalism. Auto-and cross-correlations of electroencephalograms from healthy subjects and …

We discuss here the Flicker-Noise Spectroscopy approach to studying astrophysical
systems, for example the radio wave intensity of quasi-stellar object (QSO) 1641+ 399 and …

In this paper, we show that the use of Flicker-Noise Spectroscopy, one of the approaches of
data science, allows establishing the features of pathological bioelectric brain activity in …

Fractal features of neuromagnetic activity of the cerebral cortex in photosensitive epilepsy
(PSE) before and after exposure to light flickering stimulus were studied. It was found that …

This paper reports a study on the cross-correlation between the electric bid price and
SENSEX using Multifractal Detrended Cross-correlation Analysis (MF-DXA). MF-DXA is a …

Our study demonstrates the potential of Flicker-Noise Spectroscopy analysis of
neuromagnetic brain responses (magnetoencephalograms) in possible diagnosis and …