A.V. Savelyev

Work place: Faculty of Philosophy of Moscow State University named after M.V. Lomonosov

E-mail: gmkristo@yandex.ru


Research Interests: Bioinformatics


Alexander Savelyev — p.h.d. chief editor of the magazine "Neurocomputers: development, application" of "Radio Engineering" Publisher, scientific coordinator of "Neurophilisophy" seminar, Faculty of Philosophy of Moscow State University named after M.V. Lomonosov, secretary of the seminar "Knowledge Management" of the Government administration department of the Moscow State University (Moscow), a member of the organizing committee of the international interdisciplinary congress "Neuroscience for Medicine and psychology" (the Crimea, Sudak). Ph.D. thesis (2016) "Philosophical and methodological foundations of neurocomputing" is specializing in the philosophy of science and technology at the Faculty of Philosophy of Moscow State University named after M.V. Lomonosov. Scientific interests: biomechanics and medical technology, neurocybernetics, neurobiology, measuring equipment, anthropology (was invited to the post of editor of the journal Current Anthropology of the University of Chicago), valeology, modeling of the nervous system, ways and devices to enhance the capacity of the brain; geophysics; search works and equipment.

Author Articles
Spiral Flows at the Cardiovascular System as the Experimental Base of New Cardiac-gadgets Design

By A.V. Savelyev I.V. Stepanyan

DOI: https://doi.org/10.5815/ijem.2018.06.01, Pub. Date: 8 Nov. 2018

The results of studies of the functional mechanodynamics of the arteries of the cardiovascular system are presented. Methods of mathematical neural computer modeling, developed by the authors, were reproduced the features of blood flow in statics and dynamics, taking into account the spiral laying of vessels smooth muscle with the transfer of its relief through a thin endothelial membrane lining the inner surface. It is shown that the the nature of the blood flow significantly differs with the both quantitative and qualitative characteristics from the blood flow without regard to the spiral endothelial relief repeating helical laying of smooth shell. The developed methods of neurocomputer modeling allow reconstruct and detect events to recreate the picture of the functioning of living bio tissue. Based on the obtained results and neural networks modeling, a new paradigm for the design of implantable cardiac-gadgets purposed.

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