A.A. Kuznetsov - Dr.Sc.(Eng.), Associate Professor, Vladimir State University n.a. A.G. and N.G. Stoletovs S.A. Permyakov - Post-graduate Student, Vladimir State University n.a. A.G. and N.G. Stoletov L.T. Sushkova - Dr.Sc.(Eng.), Professor, Head of Department, Vladimir State University n.a. A.G. and N.G. Stoletov

The study of heart rate variability is a method of evaluation analysis of common organism functional state using a cluster of heart rate variability parameters. As a statistic approach the research method of discrete-continuous realizations of physical processes has strong limits and requirements to research objects, which are defined by the content of ergodic hypothesis. So the HRV application in nosological diagnostics of clinical patients of different age and different pathological symptoms in conditions of intensive care is doubtful. Although these termst make the tries of studying of HRV parametric rows distribution functions in large groups of examined people urgent. The purpose of the study is the check of heart rate parameters distribution functions in healthy and sick people, and also the application check of using the parameters - most probable parameters. ECG registrations were performed in the II lead by "Anna Flash 3000" Holter monitor complex. From 1998 to 2011 more than 2000 registrations of sick patients were carried out in different clinical resuscitation departments of Vladimir and Vladimir region, and also 523 registrations of almost healthy young men in rest state in home and lab conditions were carried out. The time-domain, frequency-domain and structural-topological parameters were studied/. The comparison analysis of shapes and locations of the heart rate parameters - graphs in healthy persons shows that the experimental graphs of related frequencies of the events are close to lognormal distribution curves, but in common and in different level are shifted to the field of greater values of the parameters. The lack of the strong shape of parameter distribution function in sick patients points to unavailability of statistic approach application in group parameters and is explained by great heterogeneity of random groups of sick patients. In turn the random sick patient groups heterogeneity is explained by different and non-linear reaction possibility of the heart activity during great stress of the regulatory systems. Non-linear reaction possibility of sick patient hearts during strong and continuous stress of regulatory mechanisms is defined by increasing of controlling impact of the central nerv-ous system with a discrete-continuous dynamics. Obtained results could be applied in analysis of massive screening and population preventive examinations. Further investigations of experimental heart rate parameters shape will allow defining the physiological and pathophysiological features of heart rate generation.

 

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