NONLINEAR PHENOMENA IN COMPLEX SYSTEMS
An Interdisciplinary Journal

2008, Vol.11, No.1, pp.40-52


Relaxational Singularities of Human Motor System at Aging Due to Short-Range and Long-Range Time Correlations.
Renat Yulmetyev, David E. Valliancourt, Fail Gafarov, and Peter Hänggi

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 in the time and frequency domains. For analysis of experimental data we have developed here the statistical theory of relaxation of force output fluctuation with taking into account the effects of two relaxation channels. One of them contains the contribution of short-range correlation whereas other relaxation component reflects the effect of long-range correlation. The analysis of experimental data shows, that the general behavior of relaxation processes at human aging is determined by a complex combination and nonlinear interactions two above stated relaxation processes as a whole.
Key words: human aging, discrete non-Markov processes, statistical memory, short-time and long-time relaxation channels

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