A B Bespiatov

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AIM To create an artificial neural network for prognostication of coronary atherosclerosis and thus selection of patients requiring invasive interventions. METHODS AND RESULTS Efficacy of prognostication made by a physician and by a model was compared basing on probabilistic estimates with consideration of individual level of risk. Nineteen clinical and(More)
We demonstrated that, from the sequence of R-R intervals, it is possible to calculate the instantaneous phases and instantaneous frequencies of the main rhythmic processes governing the cardiovascular dynamics in humans, namely, the main heart rhythm, respiration, and the process of slow regulation of blood pressure with basic frequency close to 0.1 Hz. For(More)
AIM To develop a procedure for assessing the adequacy of metoprolol use in patients with coronary heart disease (CHD) on the basis of synchronization of 0.1-Hz rhythms in cardiac rhythm variability (CRV) and vascular blood filling in the microcirculatory bed (MCB). Materials and methods. 43 patients with CHD (age 63 +/- 8 years), who had sustained(More)
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