Experimental Study of Statistical Stability of Cardiointerval Samples

Abstract

In 1947 M. A. Bernstein proposed a hypothesis about “repetition without repetition” in biomechanics that was confirmed in psychophysiology by the Eskov—Zinchenko effect. This effect can be applied to all parameters (except the parameters of the neuromuscular system) of human body homeostasis. For instance, this instability can be demonstrated for repeated samples of cardiointerval parameters (and other homeostasis parameters) of the human cardiorespiratory system. Within the framework of the new theory of chaos and self-organization, a method is proposed for calculation of matrices of paired comparisons of cardiointerval samples for assessing the physiological status of the human body and changes in homeostasis. Statistical instability of cardiointerval samples and their statistical distribution functions f(x) for successive cardiointerval samples in one subject is proven.