Information model of ECG amplitude-phase coupling based on statistical approach

The paper presents statistical approach to studying of amplitude-phase coupling shown by electrocardiograms (ECG) of healthy and sick people. ECG data were collected from a group of over 500 presumably healthy young people and from over 10 sick people. The article demonstrates the results of a detailed structural analysis of digital rows of systolic potential diagrams and cardiointervalogramms using histograms and standard deviation - information entropy charts. The authors pay a lot of attention to statistical data comparison. As a result, a parametric electrocardiogram coupling approach is proposed based on evident infocommunication links between structural parameters of amplitude and phase. Each infocommunication link is set to correspond to one experimental registration and is assigned an angle parameter. The set of such links represents the information model. It is shown that both the angle parameter and the information model have a specific sensitivity to prenosologic conditions. The qualitative and quantitative classification of the amplitude-phase coupling modes of the ECG data is presented, which is based on analyzing parametric coupling diagrams. The article will be of interest to physiologists and specialist in the field of information data analysis.