Authors: Zozulia A.M., Lupenko S.A., Lytvynenko Y.V., Trisniuk V.M.
The monograph is devoted to solving the urgent problem of developing a new mathematical model and methods of statistical processing of rhythmic cardiac signals with increased resolution in computer systems for functional diagnostics of the heart and adaptive and regulatory mechanisms of the human body.
A new mathematical model of a rhythmic cardiac signal in the form of a vector of stationary and stationary connected random sequences is described.
The method of automatic generation of a rhythmic cardiac signal from an electrocardiogram is described, which has a higher accuracy compared to a similar method.
The statistical methods for estimating the probability characteristics of rhythmic cardiac signals are considered.
New diagnostic features are presented in the form of a matrix of correlation functions and a matrix of spectral power densities of stationary components of the rhythmic cardiac signal.
The system of computer programs for automated generation and statistical analysis of rhythmic cardiac signals is described.
