Estimation system of cardiovascular circulatory system state based on 24h heart rate

Abstract

The goal of this research was to develop the methods and tools for the analysis of cardiovascular circulatory system states, early prediction of the probability of sudden cardiac arrest, as well as analysis of various cardiac arrhythmias based on the dynamics of the 24-hours heart rate. Using «k-means" method based on MacQueen algorithm, the automated classification of heart rate fragments was made. The most informative procedure was referring specific observation to the functional pattern and the diagnosis within it. The software for processing and analyzing output of 24h HR and generating diagnostic conclusion about existing pathologies of the circulatory system and the status of the regulatory reserves of the human body was developed.