Mathematical modeling of the cardiovascular autonomic control in healthy subjects during a passive head-up tilt test

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作者
Yurii M. Ishbulatov
Anatoly S. Karavaev
Anton R. Kiselev
Margarita A. Simonyan
Mikhail D. Prokhorov
Vladimir I. Ponomarenko
Sergey A. Mironov
Vladimir I. Gridnev
Boris P. Bezruchko
Vladimir A. Shvartz
机构
[1] Saratov State Medical University,Department of Innovative Cardiological Information Technology, Institute of Cardiological Research
[2] Bakulev Scientific Center for Cardiovascular Surgery,Department of Surgical Treatment for Interactive Pathology
[3] Laboratory of Nonlinear Dynamics Modeling,Department of Dynamic Modeling and Biomedical Engineering
[4] Saratov Branch of the Institute of Radio Engineering and Electronics of Russian Academy of Sciences,Department of Atherocslerosis and Chronic Ischemic Heart Disease
[5] Saratov State University,undefined
[6] Institute of Cardiological Research,undefined
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摘要
A mathematical model is proposed for the autonomic control of cardiovascular system, which takes into account two separated self-exciting sympathetic control loops of heart rate and peripheral vascular tone. The control loops are represented by self-exciting time-delay systems and their tone depends on activity of the aortic, carotid, and lower-body baroreceptors. The model is used to study the dynamics of the adaptive processes that manifest in a healthy cardiovascular system during the passive head-up tilt test. Computer simulation provides continuous observation of the dynamics of the indexes and variables that cannot be measured in the direct experiment, including the noradrenaline concentration in vessel wall and heart muscle, tone of the sympathetic and parasympathetic control, peripheral vascular resistance, and blood pressure. In the supine and upright positions, we estimated the spectral characteristics of the model variables, especially in the low-frequency band, and the original index of total percent of phase synchronization between the low-frequency oscillations in heart rate and blood pressure signals. The model demonstrates good quantitative agreement with the dynamics of the experimentally observed indexes of cardiovascular system that were averaged for 50 healthy subjects.
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