Examination of Statistical Instability of Electroencephalograms.

The study examined stochastic stability of EEG samples recorded in succession from the same healthy volunteer at unchanged state. The absence of statistical repetitions not only for EEG samples, but also for the corresponding spectral densities was proven. A method to calculate the pairwise comparison matrices of ECG samples and quasi-attractors was proposed. The diagnostic effectiveness of these calculations was demonstrated during photostimulation, when successive EEG samples chaotically changed under overall homeostatic conditions.

New Effect in Physiology of Human Nervous Muscle System.

A new phenomenon (or paradox) consisting in higher statistical stability of samples, for example, tremorograms, in a group of different subjects than in the same subject in unchanged homeostasis. At the same time, it turns out that 15 different subjects are more similar (statistically) to each other than one person to himself in 15 repetitions of tremorogram recording (in unchanged homeostasis). This poses serious problems for physiology and medicine, and in the context of transition to individualized medicine, this raises the question of how different people can be compared if they are statistically more similar than one person to himself.

Experimental Analysis of the Chaotic Dynamics of Muscle Biopotentials under Various Static Loads.

Arbitrary and involuntary movements were studied from the position of the new chaos-self-organization theory. Analysis of organization of tappingrams and tremorograms within the framework of N. A. Bernstein "repetition without repetitions" hypothesis leads to the Eskov-Zinchenko effect. In this case, there is no statistical stability for samples of parameters of electromyograms of any movements obtained in a row, i.e. fj (xi)≠fj+1(xi) with the probability p≥0.97. In this paper, the basic problem of motion physiology, stochastic instability establishment mechanisms, is solved in the analysis of muscle electromyogram parameters under conditions of permanent static force. Statistical instability of electromyograms within the framework of the Eskov-Zinchenko effect is proven.