Mathematical cardiology – history, status, prospects
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Abstract
Mathematical models are used for therapy of acute heart failure, when activity of the central nervous system (CNS) is suppressed. Combinatory complexity CNS limits the use of mathematical models for therapy of chronic illnesses of heart. Goal: - the relationship definition between cardiovascular system (CVS) and CNS. A material. 101 research of animals. The intellectual control of 12000 patients. Methods. The AIBOLIT technology and LabVIEW. Results. Interdependence of functions and properties is determined by functions if the weak narcosis takes place. Interdependence of functions and properties is caused by properties if the deep narcosis takes place. Imitation on models has revealed a probable explanation: CNS increases the opportunities of systems with greater mistakes of regulation and reduces opportunities of systems with smaller mistakes of regulation. The conclusion. CNS does not control (if it is not the behavioral reactions) functional systems of blood circulation, but will organize interaction functional systems according to the principle of equilibration. It generates integrity: every system is necessary for all systems and all are necessary for every system. Therefore СVS together with contours CNS – is not a system, but organization This result allows overcoming «a damnation of complexity» - the basic obstacle on the way to mathematical cardiology. References to the results of clinical use are given
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References
V. Burakovsky, Application of mathematicsical models in the clinic of cardiovascular surgery, Moscow: Mechanical Engineering, 1980.
V. A. Lishchuk and L. A. Bockeria, “ Mathematical models and methods in intensive care: forty years of experience. To the 50th anniversary of the Scientific Center for Agricultural Agricultural Sciences named after. A.N. Bakuleva. Parts 1-4.”., Clinical physiology of blood circulation, 2006–2007
V. Lishchuk, Mathematical theory of blood circulation, Moscow: Medicine, 1991, p. 256.
L.A. Bockeria and V.A. Lishchuk, “The concept of regulation of the cardiovascular system - from control functions to coordinate capabilities (Part 3. Imitation)”, Clinical physiology of blood circulation, pp. 5–19, 2008.
V. A. Liščuk, S. A. Packina et al., and E. Schubert, De Gruyter, 1971, pp. 43–68. DOI:10.1515/9783112727713
V.A. Lishchuk, “Construction of an algorithm for the functioning of the heart”, Automation, no. 3, pp. 60–76,1967.
Huxley V. Regulation of arterial blood pressure http://web.missouri.edu/~huxleyv/bloodpressure2000.html.
Bogle P., Control of blood pressure, http://www.emunix.emich.edu/~bogle/blood_pressur
E.P. Velikhov, Simple and difficult to program, Moscow: Nauka, 1988, p. 176.
E. P. Velikhov, V. B. Betelin, and A. G. Kushnerenko, Industrial policy, innovation, mass information technologies, domestic backbone companies, Moscow: Energoizdat, 2007, p. 100.
A. Smirnov, Elements of endocrine regulation, Moscow: GEOTARMEDIA, 2008, p. 352.
B. I. Tkachenko, V. A. Kulchitsky, and A. A. Vishnevsky, Central regulation of organ hemodynamics, St. Petersburg: Science, 1992, p. 242.
V. A. Lishchuk, “Experience of using mathematical models in the treatment of patients after heart surgery”, Vestn. USSR Academy of Medical Sciences, no. 11, pp. 33–49, 1978.
V. Lishchuk, “Specifics of using mathematical models in the treatment of patients afterheart surgery”, in Application of mathematical models in the clinic of cardiovascular surgery, Moscow: Mechanical Engineering, 1980, pp. 155–170.
D. Gazizova, V. Lishchuk, G. Lobacheva, E. Nikitin, and L. Sazykina, “Analysis and display of recommendations for the treatment of left ventricular acute heart failure using intelligent funds”, in Abstracts of reports and communications..
D. Gazizova, L. Sazykina, V. Lishchuk, G. Lobacheva, and E. Nikitin, “Cardiotonic support for left ventricularacute heart failure remedies”, in Abstracts of reports and communications, 2009.
V.A. Lishchuk, D.S. Gazizova, and L.V. Sazykina, “Concept of neurohormonal regulation cardiovascular system - clinical and physiological focus of research”, in Abstracts of reports and communications, 2009.
V. Lishchuk, D. Gazizova, G. Lobacheva, E. Nikitin, and L. Sazykina, “Unloading of the left ventricle in left ventricular acute heart failure”, in Abstracts of reports and communications, 2009.
L. Sazykina, D. Gazizova, V. Lishchuk, G. Lobacheva, and E. Nikitin, “Vasopressor therapy for left ventricular acute heart failure”, in Abstracts of reports and messages, 2009.
