Chaotic Dynamics of Electroencephalogram Parameters
A clinical medicine usually uses the amplitude-frequency characteristics of recorded biopotentials. The paper presents still chaotic dynamics, which takes place for the autocorrelation function A(t) and statistic function of distribution fix). It is proposed two new approaches for estimation of parameters of electroencephalograms. The first is based on the construction of the matrix of pairwise comparisons of recorded samples of brain potentials in subjects in different physiological (mental) states: with photostimulation and without it. The second method is based on calculating the parameters of quasi-attractors, which are built on the plane in the coordinates x1=U(t) - a function that changes due to registration of biopotential in current point and x2=dx1/dt - rate of change of x1. The quasi-attractors in this two-dimensional phase space are quantitatively different options for patients (epilepsy) and healthy subjects. It is possible to construct a three-compartmental model quasi-attractor in the phase space of states, which is also discussed. It was demonstrated the stochastic of function fix) for normal and pathological patients. It was proved the nonfictions of entropy parameter for the EEG modeling.