ReviewBiomedical engineering online2019
A review on low-dimensional physics-based models of systemic arteries: application to estimation of central aortic pressure.
Review in Biomedical engineering online, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 51 citations in OpenAlex.
- A nonlinear windkessel model for cardiovascular dynamics: Variable compliance and pathological simulations.Medical & biological engineering & computing · 2026Article
- Pulse Doppler ultrasound measurement of central artery elasticity: an exploratory study.Cardiovascular ultrasound · 2026Article
- Synthetic, Population-Based Virtual Patient Database Using a Digital Twin of the Cardiovascular System.Cardiovascular engineering and technology · 2026Article
- Peripheral Artery Disease (P.A.D.): Vascular Hemodynamic Simulation Using a Printed Circuit Board (PCB) Design.Bioengineering (Basel, Switzerland) · 2026Article
- [Research progress in central aortic pressure estimation algorithms].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025Review
- Evaluating cardiac function in ex vivo heart perfusion using lumped parameter models.Computers in biology and medicine · 2025Article
- Modeling Techniques and Boundary Conditions in Abdominal Aortic Aneurysm Analysis: Latest Developments in Simulation and Integration of Machine Learning and Data-Driven Approaches.Bioengineering (Basel, Switzerland) · 2025Review
- Enhancing cardiac assessments: accurate and efficient prediction of quantitative fractional flow reserve.Frontiers in bioengineering and biotechnology · 2025Article
- Computational fluid dynamics modelling of hemodynamics in aortic aneurysm and dissection: a review.Frontiers in bioengineering and biotechnology · 2025Review
- Uncertainty quantification of the pressure waveform using a Windkessel model.International journal for numerical methods in biomedical engineering · 2024Article
- Computational modelling of valvular heart disease: haemodynamic insights and clinical implications.Frontiers in bioengineering and biotechnology · 2024Review
- One Step Back from Bedside to the Bench-How Do Different Arterial Stiffness Parameters Behave in Relation to Peripheral Resistance?Diagnostics (Basel, Switzerland) · 2023Article
- Calibration of patient-specific boundary conditions for coupled CFD models of the aorta derived from 4D Flow-MRI.Frontiers in bioengineering and biotechnology · 2023Article
- Human Hypertension Blood Flow Model Using Fractional Calculus.Frontiers in physiology · 2022Article
- Seven Mathematical Models of Hemorrhagic Shock.Computational and mathematical methods in medicine · 2021Review
- Multimodal cardiovascular model for hemodynamic analysis: Simulation study on mitral valve disorders.PloS one · 2021Article
- Impact of Decreased Transmural Conduction Velocity on the Function of the Human Left Ventricle: A Simulation Study.BioMed research international · 2020Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
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Abstract
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.