Algorithm of ST-Interval Selection at Daily Monitoring to Assess Coronary Heart Disease and Preinfarction Condition
Alexey ValerievichIlyin, Arkadiy Pavlovich Kuleshov, Anastasia Valerievna Poteryakhina and  Alexey Petrovich Zaretsky

Moscow Institute of Physics and Technology (State University) 9, Institutskiy per., Dolgoprudny, Moscow Region, 141700, Russian Federation Department of Radio Engineering and Cybernetics

Abstract: Algorithm of ST-interval selection of electrocardiographic signal was developeed that allows for dynamic evaluation of the heart performance and identifies critical states for the detection of coronary artery disease and preinfarction condition. R-wave is calculated in examinations according to the algorithm without setting fixed numerical thresholds, as well as use of rate increase and decrease of the amplitude conditioning. Algorithm is implemented with the software environment LabView. Simultaneously, identification of the isoline Z is performed and with its help determining S and T points.

Keywords: algorithms for medical signal processing; selection of R-wave; ST-interval estimation; allocation of isoline; coronary heart disease; myocardial infarction; daily monitoring; evaluation of critical states

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