ENTROPY-PARAMETRIC DETECTORS OF WAVES OF AN ELECTROCARDIO SIGNAL 

Polosin Vitaly Germanovich, candidate of technical sciences, associate professor, sub-department of physics, Penza State University (40 Krasnaya street, Penza, Russia), polosin-vitalij@yandex.ru

53.082.9: 612.172.4

10.21685/2307-5538-2017-4-9

Background. The introduction of mobile information technologies has formed prerequisites for improving the algorithms of medical diagnostic equipment. The subject of the study is the method of detection of diagnostic significant intervals of the electrocardiogram (ECS). The aim of the work is to investigate the possibilities of detecting EKS teeth based on information-probabilistic technologies of ECS analysis.
Materials and methods. The paper considers a qualitatively new information-probabilistic approach of processing and analysis of ECS, according to which the detection of ECS wavesis based on a change in the activity of cardiomyocytes depending on the phase of development of the action potential. It is based on the change derivatives the ECS and on the information entropy of the sample of the values of ECS which are associated with the thermodynamics activity of the heart tissue.
Results. Detector of QRS complex that constructed on probabilistic and information uncertainties of the ECS values has the additional ability to estimate the position of the maximum R wave and to determine an important diagnostic parameter – the RR intervals of the ECS that is necessary for determining the heart rate and for examining the variability of the heart rhythm. The implementation for the sum operator of the second and third derivatives in the construction detectors of the QRS complex and the ECS wave is based on the control of the times dependence of the sum for central moments of the third and fourth order calculated for the selection of the values of the ECS in the sliding window. The non-linear dependence of high-order moments on the differences between the values in the sliding window provides a reliable detection of the QRS complex and the ECS wave.

information-probabilistic approach, entropy, uncertainty of values, moments of the third and fourth order, wave of the electrocardiosignal