| Abstract [eng] |
Cardiovascular disease diagnosis is one of the most important problems in medical studies. Main cardiological study is performed with the help of an electrocardiogram (ECG). However, known ECG analysis methods do not always reveal a sufficient amount of clinical information. The goal of this research is to adapt algorithms of algebraic-structural matrix analysis to the examination of ECG parameters dynamic connections. The research was performed with cointegration of signals to the matrices of Lagrange distributions. With sequences of these matrices, algebraic matrix transformations were made and algebraic-structural parameters were found. Based on these parameters, analysis of signals dynamic connections was performed. Presented algorithms were implemented using software tools. Analysis revealed that algebraic-structural parameters are representing dynamic connections of signals. In order to perform the analysis of ECG parameters, data was taken from 10 cardiograms which are taken from athletes. Three ECG parameters were analysed: RR, DQRS and DJT. Analysis showed that obtained algebraic-structural parameters and their standard deviation represents physiological status of athletes and describes the specifics of phase transitions in power, speed and endurance sports. |
