Modeling and Methods of Statistical Processing of a Vector Rhytmocardiosignal

Aims: We have developed a new approach to the study of human heart rate, which is based on use vector rhythmocardiosignal, includes as its component classical rhythmocardiosignal in form sequence cycle durations an electrocardiogram. Background: Most modern automated rate analysis systems are statistical rhythmocardiogram, ordered set R-R interval recorded However, this not very informative, since intervals reflect only change duration cardiac cycles over time and entire between single-phase values electrocardiosignal for all phases. Objective: The aim paper present mathematical model stationary permanently connected random sequences with increased resolution processing problems. It shows how formed processed diagnostic systems. structure probabilistic characteristics cardiodiagnostics Methods: Based sequences, methods estimation spectral-correlation been developed. Results: spectral power densities components justified features when performing rhythm systems, complementing known signs increasing informative value Conclusion: proposed studied. shown formed, carried out basis methods.