activity
20062011
most citedAnalysis of cross-correlations in electroencephalogram signals as an approach to proactive diagnosis of schizophrenia

53 citations · 158 across the 7 of their papers we have counts for

collaborators

7 papers

physics.med-ph2011★ 53 cited

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 (…

physics.med-ph2009★ 29 cited

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…

physics.med-ph2008★ 28 cited

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…

physics.data-an2007

Relaxational Singularities of Human Motor System at Aging Due to Short-Range and Long-Range Time Correlations

Renat M. Yulmetyev, David E. Valliancourt, Fail M. Gafarov +3

In this paper we study the relaxation singularities of human motor system at aging. Our purpose is to examine the structure of force output variability as a function of human aging…

physics.space-ph2007★ 2 cited

Non-Markov statistical effects of X-ray emission intensity of the microquasar GRS 1915+105

R. M. Yulmetyev, S. A. Demin, R. M. Khusnutdinov +2

In this paper we develop the new approach in time series analysis with a variable time step and present the results of quantitative and qualitative estimation of randomness and reg…

physics.med-ph2006★ 39 cited

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…