Abstract:

For about 150 years, the study of heart rhythms has been taking place within the framework of traditional statistical methods. However, back in 1947 N.A. Bernstein in biomechanics talked about the lack of repetition in the organization of movements. Over the past 20 years, the lack of statistical stability in the parameters of tremor and tapping has been proven. A logical question arises about statistical stability in the parameters of tremor and tapping. A logical question arises of the statistical stability of cardio intervals. In other words, we question the continued use of stochastics in the study of heart function. To verify this assumption, we recorded samples of cardio intervals repeatedly (for 225 iterations) in 15 people (over an interval of 5 minutes). Matrices of pairwise comparisons were built for each series of 15 samples; as a result, 225 such matrices were constructed in which the numbers k≤20% of all different 105 pairs (for each matrix). All this proves the Eskov-Zinchenko effect for heart parameters (there is no statistical stability of the samples).

Keywords: cardiointerval, statistical instability, stochastics, Eskov-Zinchenko effect