DocumentCode
693291
Title
Human Arteries Modeling and Central Aortic Pressure Estimation
Author
Sheng Jiang ; Zhi-qiang Zhang ; Jian-Kang Wu
Author_Institution
Univ. of Chinese Acad. of Sci., Beijing, China
fYear
2013
fDate
26-28 Oct. 2013
Firstpage
44
Lastpage
48
Abstract
In this paper, we present a novel viscous fluid mechanics based Arteries Modeling and Central Aortic Pressure (CAP) Estimation method (M-CAP). According to the blood fluid dynamics equations, the behavior of artery vessels system can be modeled by a network of electrical circuit consisting of resistances, inductances and capacitances. The transfer function between radial artery and central aortic is then derived based on the electrical network. Via measuring the pulse wave of the proximal and distal ends of the radial artery, the least square method is proposed to estimate the patient-specific electrical network/the transfer function parameters. Thus the central aortic pressure and pulse wave can then be obtained. An invasive validation study with 50 subjects comparing M-CAP with direct aortic root pressure measurements during cardiac catheterization were carried out at the Beijing Hospital. The experimental results have shown better performance of M-CAP method can be achieved comparing to ground-truth.
Keywords
bioelectric potentials; biomedical measurement; blood vessels; cardiovascular system; catheters; haemodynamics; least mean squares methods; physiological models; artery vessels system; blood fluid dynamics equations; capacitances; cardiac catheterization; central aortic pressure estimation method; central aortic root pressure measurements; human artery modeling; inductances; least square method; patient-specific electrical network estimation; pulse wave measurement; resistances; transfer function parameter estimation; viscous fluid mechanics; Arteries; Blood; Blood pressure; Estimation; Mathematical model; Pressure measurement; Transfer functions; Blood Fluid Dynamics; Central Aortic Pressure; Transfer Function; Viscous Fluid Mechanics;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Problem-solving (ICCP), 2013 International Conference on
Conference_Location
Jiuzhai
Type
conf
DOI
10.1109/ICCPS.2013.6893593
Filename
6893593
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