| Authors |
Sergei V. Frolov, Doctor of technical sciences, professor, head of the sub-department of biomedical engineering, Tambov State Technical University (106 Sovetskaya street, Tambov, Russia), E-mail: sergej.frolov@gmail.com
Artem A. Korobov, Engineer of the sub-department of biomedical engineering, Tambov State Technical University (106 Sovetskaya street, Tambov, Russia), E-mail: korobov1991@mail.ru
Dinara Sh. Gazizova, Doctor of medical sciences, chief researcher of A.N. Bakulev National Medical Research Center of Cardiovascular Surgery of the Ministry of Health of the Russian Federation (1 bld., 135 Rublevskoe highway, Moscow, Russia), E-mail: dgazizova@yandex.ru
Anton Yu. Potlov, Candidate of technical sciences, associate professor of the sub-department of biomedical engineering, Tambov State Technical University (106 Sovetskaya street, Tambov, Russia), E-mail:zerner@yandex.ru
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| Abstract |
Background. The results of the analysis of reference numerical models of the cardiovascular system with a control mode were presented. Numerical models which are used for biomedical research purposes and diagnostics of cardiovascular diseases were taken into account. A new highly efficient dynamic numerical model of the cardiovascular system with a pulsating heart is proposed.
Materials and methods. The numerical model includes a controllable and uncontrollable part. A heart, vessels and elements that transmit a signal to the control object are represented by uncontrollable part of the cardiovascular model and are simulated as a sequence of elastic chambers and resistance elements. The controllable part is presented in the form of a hierarchical control structure and consists of the upper and lower levels. A gradient-based self-control numerical model based on neural network algorithms is proposed as major component of control mode.
Results. The proposed model makes it possible to simulate control procedure with a high degree of reliability, in particular, venous pressure control in the low part of body, pressure control in the central arterial chamber, blood flow control in the upper part of body, capillary pressure control in the upper part of body. A change in resistance in the arteries, a change in the number of heartbeats, a change in resistance in the upper part of body and a change in the unstressed volume are used as control response.
Conclusions. Due to the simplicity of the model and the clarity of the results obtained, the model can be used in intensive care units.
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| Key words |
cardiovascular system, numerical model, self-control system, neural network, pulsating heart
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| For citation |
Frolov S.V., Korobov A.A., Gazizova D.Sh., Potlov A.Yu. Cardiovascular model with regulation using a neural network. Modeli, sistemy, seti v ekonomike, tekhnike, prirode i obshchestve = Models, systems, networks in eco nomics, technology, nature and society. 2021;2:79–94. (In Russ.). doi:10.21685/2227-8486-2021-2-5
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