Modeling of the Blood Pressure Regulation System in Rats Using Genetic Algorithms

0486639 - FGÚ 2018 NL eng C - Conference Paper (international conference)
Sekaj, I. - Bališ, P. - Majzúnová, M. - Behuliak, Michal - Zicha, Josef - Kajan, S. - Števo, S. - Bernátová, I.
Modeling of the Blood Pressure Regulation System in Rats Using Genetic Algorithms.
IFAC Proceedings Volumes (IFAC-PapersOnline). Vol.47(3). Amsterdam: Elsevier Science, 2014, s. 11589-11594. ISSN 2405-8963.
[World Congress of the International-Federation-of-Automatic-Control /19./. Cape Town (ZA), 24.08.2014-29.08.2014]
Institutional support: RVO:67985823
Keywords : blood pressure regulation * rat * stress response * inear dynamic model * genetic algorithm
Subject RIV: FA - Cardiovascular Diseases incl. Cardiotharic Surgery

Blood pressure (BP) is one of the principal vital signs. The regulation of normal BP is critical for maintaining the normal functioning of an organism. The structure of the BP regulation in vertebrates, including humans, is very complex and it is not yet fully understood. There are several BP regulation subsystems which interact together. In this study, we analysed and modelled the role of the most important BP regulation systems (sympathetic nervous system, renin-angiotensin-aldosterone system, L-Arginine/nitric oxide) as well as the role of reactive oxygen species, the imbalance of which is implied in the development of hypertension disease. Our aim is to design a dynamic model of the BP regulation in normotensive rats, which can help us better understand the complex process of BP regulation. The BP responses were measured in conscious rats after acute stress with or without the application of selected drugs, which can inhibit particular regulation subsystems. Linear dynamic models of particular regulation subsystems were identified using genetic algorithms. Each subsystem is a feedback loop, which contains both the system dynamics and the controller. We describe the simulation-based identification procedure of these particular models as well as of the entire BP regulation system.
Permanent Link: http://hdl.handle.net/11104/0281389