A personalized-model-based central aortic pressure estimation method

Jiang, Sheng; Zhang, Zhiqiang; Wang, Fang; Wu, Jiankang

doi:10.1016/j.jbiomech.2016.11.007

Cited by 6 publications

(2 citation statements)

References 16 publications

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“…Another study (12) proposed a methodology for the adjustment of the distributed model parameters from measures of the proximal and distal radial pulse waves and the subsequent calculation of the aortic-to-radial transfer function. Their experimental results for central pressure estimation showed better performance than the broadly clinically used generalized transfer function and n-point moving average techniques.…”

Section: Discussionmentioning

confidence: 99%

On the importance of the nonuniform aortic stiffening in the hemodynamics of physiological aging

Pagoulatou

Bikia

Trachet

et al. 2019

American Journal of Physiology-Heart and Circulatory Physiology

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Mathematical models of the arterial tree constitute a valuable tool to investigate the hemodynamics of aging and pathology. Rendering such models as patient specific could allow for the assessment of central hemodynamic variables of clinical interest. However, this task is challenging, particularly with respect to the tuning of the local area compliance that varies significantly along the arterial tree. Accordingly, in this study, we demonstrate the importance of taking into account the differential effects of aging on the stiffness of central and peripheral arteries when simulating a person’s hemodynamic profile. More specifically, we propose a simple method for effectively adapting the properties of a generic one-dimensional model of the arterial tree based on the subject’s age and noninvasive measurements of aortic flow and brachial pressure. A key element for the success of the method is the implementation of different mechanisms of arterial stiffening for young and old individuals. The designed methodology was tested and validated against in vivo data from a population of n = 20 adults. Carotid-to-femoral pulse wave velocity was accurately predicted by the model (mean error = 0.14 m/s, SD = 0.77 m/s), with the greatest deviations being observed for older subjects. In regard to aortic pressure, model-derived systolic blood pressure and augmentation index were both in good agreement (mean difference of 2.3 mmHg and 4.25%, respectively) with the predictions of a widely used commercial device (Mobil-O-Graph). These preliminary results encourage us to further validate the method in larger samples and consider its potential as a noninvasive tool for hemodynamic monitoring. NEW & NOTEWORTHY We propose a technique for adapting the parameters of a validated one-dimensional model of the arterial tree using noninvasive measurements of aortic flow and brachial pressure. Emphasis is given on the adjustment of the arterial tree distensibility, which incorporates the nonuniform effects of aging on central and peripheral vessel elasticity. Our method could find application in the derivation of important hemodynamic indices, paving the way for novel diagnostic tools.

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Section: Discussionmentioning

confidence: 99%

On the importance of the nonuniform aortic stiffening in the hemodynamics of physiological aging

Pagoulatou

Bikia

Trachet

et al. 2019

American Journal of Physiology-Heart and Circulatory Physiology

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“…Few researchers used peripheral pressure measurement (e.g. brachial pressure or radial pressure) as model input [25, 69]. The aortic flow waveform can be measured by ultrasound equipment, however, it is not accurate.…”

Section: D Modelsmentioning

confidence: 99%

A review on low-dimensional physics-based models of systemic arteries: application to estimation of central aortic pressure

Zhou

Hao

et al. 2019

BioMed Eng OnLine

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The physiological processes and mechanisms of an arterial system are complex and subtle. Physics-based models have been proven to be a very useful tool to simulate actual physiological behavior of the arteries. The current physics-based models include high-dimensional models (2D and 3D models) and low-dimensional models (0D, 1D and tube-load models). High-dimensional models can describe the local hemodynamic information of arteries in detail. With regard to an exact model of the whole arterial system, a high-dimensional model is computationally impracticable since the complex geometry, viscosity or elastic properties and complex vectorial output need to be provided. For low-dimensional models, the structure, centerline and viscosity or elastic properties only need to be provided. Therefore, low-dimensional modeling with lower computational costs might be a more applicable approach to represent hemodynamic properties of the entire arterial system and these three types of low-dimensional models have been extensively used in the study of cardiovascular dynamics. In recent decades, application of physics-based models to estimate central aortic pressure has attracted increasing interest. However, to our best knowledge, there has been few review paper about reconstruction of central aortic pressure using these physics-based models. In this paper, three types of low-dimensional physical models (0D, 1D and tube-load models) of systemic arteries are reviewed, the application of three types of models on estimation of central aortic pressure is taken as an example to discuss their advantages and disadvantages, and the proper choice of models for specific researches and applications are advised.

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Reconstruction of central arterial pressure waveform based on CBi-SAN network from radial pressure waveform

Xiao,

Song,

Liu

et al. 2023

Artificial Intelligence in Medicine

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A personalized-model-based central aortic pressure estimation method

Abstract: 9Central Aortic Pressure (CAP) can be used to predict cardiovascular structural damage and cardiovascular events, and the 10 development of simple, well-validated and non-invasive methods for CAP waveforms estimation is critical to facilitate the routine

Cited by 6 publications

References 16 publications

On the importance of the nonuniform aortic stiffening in the hemodynamics of physiological aging

On the importance of the nonuniform aortic stiffening in the hemodynamics of physiological aging

A review on low-dimensional physics-based models of systemic arteries: application to estimation of central aortic pressure

Reconstruction of central arterial pressure waveform based on CBi-SAN network from radial pressure waveform

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