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Journal Technologies of Living Systems №2 for 2011 г.
Article in number:
ANALYSIS THE LONG- AND SHORT SINGULARITIES OF HUMAN PHYSIOLOGICAL SIGNALS
Authors:
S.A. Demin, B.N. Galimzyanov
Abstract:
In this is work studying the dynamics of long - and short-range correlations in human physiological signals is carried out on the base of R/S analysis. To calculate the Hurst exponent we use the "fast algorithm" as well as the window-time averaging algorithm with the following linear and piecewise-linear approximation. Analyzing the Hurst exponent local behavior is carried out after the choice of optimal window length. Within the R/S analysis was carried out differentiation of biomedical signals, depending on the level of stochastic and/or determinism physiological processes. Register an increase in the persistent character of correlations in the case of providing a therapeutic effect on patients with Parkinsonian disease. Discovered reversible (slump - raise) the character of the dynamics of correlations during the tonic seizure at epilepsy. Revealed a similar character in the dynamics of the spread of ARI and influenza in social networks. Analysis of temporal behavior of the Hurst exponent H(t) revealed a persistent and antipersistent correlations in cer-tain areas of EEG signal man in the tonic seizure as well as the dynamics of the spread of ARI in Vakhitov region of Kazan city. The results which demonstrate the principal possibility of fixation of even small individual differences in the responses of living systems confirm the need creating the "individual medicine" as the medicine of the future.
Pages: 3-17
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