EMPLOYMENT OF THE DISTRIBUTION FUNCTION IN ANALYSIS OF THE CARDIAC RHYTHM VARIABILITY

Humans adapt to environmental conditions owing to complex mechanisms of regulation. Nonlinear physiological processes add plasticity to the physiological systems during adaptation. One of the methods to assess body functioning is analysis of the cardiac rhythm variability (CRV). Traditional linear approaches rely on static and spectral analyses to describe cyclic changes leaving out of account the fact that cardiac rhythm exemplifies a determinate chaos in biological systems. In this context, distribution function is an objective criterion for a more precise presentation of changes in regulatory mechanisms of the heart. Not denying the nonlinear methods, it adds information about nonlinear dynamics in CR regulation. Further investigations should be concerned with enhancement of algorithms of CRV data analysis and interpretation by employment of, in addition to the distribution function, other nonlinear methods.