Personalized hemodynamic modeling of the human cardiovascular system: areduced-order computing model
author: Myra
2023-10-20
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Scientists at the Chinese Academy of Sciences (CAS) have proposed a personalized hemodynamic model of the cardiovascular system based on the inverse calculation of blood pressure waveform model parameters"Personalized hemodynamic modeling of the human cardiovascular system: areduced-order computing model".
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The individual hemodynamic model can simulate the cardiovascular system and quantitatively evaluate and predict some cardiov
ascular diseases. However, the one dimensional model of the large artery coupled with the zero dimensional model of the terminal
artery has been extensively studied and proved to be a fast and efficient simulation of the human whole body arterial network.
However, it is difficult to measure and estimate the parameters of individual model such as elastic modulus of different arterial segm
ents in real human body, so it is still impossible to realize the practical significance of individual modeling. In this study, a method of c
alculating model parameters based on the reverse blood pressure waveform is proposed, which can effectively realize the personalize
d hemodynamic modeling.
In this study, the diameter and stroke output of the main arteries were measured by ultrasonography, and the non-invasive brachial blood pressure waveform measured on the body surface was recorded. The proposed method is based on L-M optimization algorithm, and iteratively adjusts the model parameters such as arterial hardness to match the simulated blood pressure waveform with the measured waveform, so as to realize individual modeling.
The experimental results show that the distribution of arterial hardness at different locations in the body is consistent with the real law.
The simulated blood pressure waveform fits well with the measured waveform, and the mean square error is 7.1 mmHg2. The simulate
d carotid blood flow velocity waveform was similar to that measured by Doppler ultrasound, and the average correlation coefficient was
0.911 .
 The personalized hemodynamic model proposed in this study can effectively simulate the blood pressure waveform and blood flow velo
city waveform of different individuals. This method is expected to be used for the estimation of arterial stiffness and blood pressure in dif
ferent parts of human body, and can also be used to assist the diagnosis and individual evaluation of various cardiovascular diseases.
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