53 citations · 247 across the 11 of their papers we have counts for
8 papers · 1 filter
Analysis of cross-correlations in electroencephalogram signals as an approach to proactive diagnosis of schizophrenia
Serge F. Timashev, Oleg Yu. Panischev, Yuriy S. Polyakov +2
We apply flicker-noise spectroscopy (FNS), a time series analysis method operating on structure functions and power spectrum estimates, to study the clinical electroencephalogram (…
Cross-correlation markers in stochastic dynamics of complex systems
O. Yu. Panischev, S. A. Demin, J. Bhattacharya
The neuromagnetic activity (magnetoencephalogram, MEG) from healthy human brain and from an epileptic patient against chromatic flickering stimuli has been earlier analyzed on the…
Frequency and Phase Synchronization in Neuromagnetic Cortical Responses to Flickering-Color Stimuli
S. F. Timashev, Yu. S. Polyakov, R. M. Yulmetyev +4
In our earlier study dealing with the analysis of neuromagnetic responses (magnetoencephalograms - MEG) to flickering-color stimuli for a group of control human subjects (9 volunte…
Analysis of Biomedical Signals by Flicker-Noise Spectroscopy: Identification of Photosensitive Epilepsy using Magnetoencephalograms
S. F. Timashev, Yu. S. Polyakov, R. M. Yulmetyev +4
The flicker-noise spectroscopy (FNS) approach is used to determine the dynamic characteristics of neuromagnetic responses by analyzing the magnetoencephalographic (MEG) signals rec…
Manifestation of Chaos in Real Complex Systems: Case of Parkinson's Disease
Renat M. Yulmetyev, Sergey A. Demin, Peter Hänggi
In this chapter we present a new approach to the study of manifestations of chaos in real complex system. Recently we have achieved the following result. In real complex systems th…
Regular and stochastic behavior of Parkinsonian pathological tremor signals
Renat M. Yulmetyev, Sergey A. Demin, Oleg Yu. Panischev +3
Regular and stochastic behavior in the time series of Parkinsonian pathological tremor velocity is studied on the basis of the statistical theory of discrete non-Markov stochastic…