Affiliations: [a] Institute of Cardiology, Tbilisi, Georgia | [b] Iv. Javakhishvili Tbilisi State University, Tbilisi, Georgia | [c] Georgian Technical University, Tbilisi, Georgia | Minneapolis, USA
Abstract: We continued investigation of variation of blood pressure and heart rate characteristics of patients groups from different blood pressure categories in the present research. We analyze dynamical features of considered data sets by means of power spectrum regression, detrended fluctuation analysis (DFA) and multifractal detrended fluctuation analysis (MF-DFA). We aim to compare dynamical characteristics of analysed data in different blood pressure categories. Special interest is the comparison of these characteristics in normal and high normal blood pressure categories. Based on the results of our analysis we show that scaling features of considered data sets are different in different blood pressure categories. The most interesting is the fact that by their dynamical features normal and high normal categories are different for all considered physiological characteristics. The obtained results point to the fact that important quantitative and qualitative changes occur in these looking close guidelines categories, which finally lead to transition of dynamical system to pathological condition typical for grade I hypertension category.
