Personalized Hemodynamic Modeling of the Human Cardiovascular System: A Reduced-Order Computing Model

To explore hemodynamic interaction between the human respiratory system (RS) and cardiovascular system (CVS), here we propose an integrated computational model to predict the CVS hemodynamics with consideration of the respiratory fluctuation (RF). A submodule of the intrathoracic pressure (ITP) adjustment is developed and incorporated in a 0-1D multiscale hemodynamic model of the CVS specified for infant, adolescent, and adult individuals. The model is verified to enable reasonable estimation of the blood pressure waveforms accounting for the RF-induced pressure fluctuations in comparison with clinical data. The results show that the negative ITP caused by respiration increases the blood flow rates in superior and inferior vena cavae; the deep breathing improves the venous return in adolescents but has less influence on infants. It is found that a marked reduction in ITP under pathological conditions can excessively increase the flow rates in cavae independent of the individual ages, which may cause the hemodynamic instability and hence increase the risk of heart failure. Our results indicate that the present 0-1D multiscale CVS model incorporated with the RF effect is capable of providing a useful and effective tool to explore the physiological and pathological mechanisms in association with cardiopulmonary interactions and their clinical applications.

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Analytical modeling of the human cardiovascular system with real-time implementation using NI ELVIS-II

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i2.33.14851 ◽

2018 ◽

Vol 7 (3.3) ◽

pp. 628

Author(s):

Sisir Chettri ◽

Akash Kumar Bhoi ◽

Gyoo Soo Chae ◽

Nilas Gurung ◽

Ashis Sharma

Keyword(s):

Cardiovascular System ◽

Real Time ◽

Human Body ◽

Blood Circulation ◽

Lumped Parameter Model ◽

Blood Flows ◽

System A ◽

Lumped Parameter ◽

Electrical Analogy ◽

Human Cardiovascular System

Cardiovascular System, which consists of the heart, the systematic circulation and the pulmonary circulation is said to be the transport system for the human body. Modeling of cardiovascular system has become important for clinical researchers and for deeper understanding of blood circulation in the human body. This paper uses the lumped method which is also known as an electrical analogy for modeling and simulation of human cardiovascular system. A simplified complete lumped parameter model of the Human Cardiovascular System has been developed with real time implementation focusing mainly on blood flows. A resistor, an inductor and a capacitor are used to model every blood vessel, ventricles, atrium and set of all veins and capillaries. A pulse generating circuit is also modeled which acts as a power supply for the heart that controls the contraction of heart muscles.

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Bifurcation in a Simple Model of the Cardiovascular System

Methods of Information in Medicine ◽

10.1055/s-0038-1634285 ◽

2000 ◽

Vol 39 (02) ◽

pp. 118-121 ◽

Cited By ~ 5

Author(s):

S. Akselrod ◽

S. Eyal

Keyword(s):

Nonlinear Dynamics ◽

Blood Pressure ◽

Heart Rate ◽

Fixed Point ◽

Cardiovascular System ◽

Modified Model ◽

Mayer Waves ◽

Sustained Oscillations ◽

Human Cardiovascular System ◽

Physiological Values

Abstract:A simple nonlinear beat-to-beat model of the human cardiovascular system has been studied. The model, introduced by DeBoer et al. was a simplified linearized version. We present a modified model which allows to investigate the nonlinear dynamics of the cardiovascular system. We found that an increase in the -sympathetic gain, via a Hopf bifurcation, leads to sustained oscillations both in heart rate and blood pressure variables at about 0.1 Hz (Mayer waves). Similar oscillations were observed when increasing the -sympathetic gain or decreasing the vagal gain. Further changes of the gains, even beyond reasonable physiological values, did not reveal another bifurcation. The dynamics observed were thus either fixed point or limit cycle. Introducing respiration into the model showed entrainment between the respiration frequency and the Mayer waves.

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