Physical modelling and computer simulation of the cardiorespiratory system based on the use of a combined electrical analogy

IF 1.8 4区数学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Mathematical and Computer Modelling of Dynamical Systems Pub Date : 2021-01-02 DOI:10.1080/13873954.2021.1977335

J. Fernandez de Canete, D. Cuesta, A. Luque, J. Barbancho

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Abstract

ABSTRACT Modelling the human cardiorespiratory system using computer simulation tools can serve to help physicians to comprehend the causes and development of cardiorespiratory diseases. The objective of this paper is to develop an integrated model of the cardiovascular and respiratory systems, along with their intrinsic control mechanisms, by combining analogous hydraulic-electric and diffusion-electric circuits, respectively. This modelling task is performed in object-oriented language in SIMSCAPE using the physical interconnected components to define the underlying dynamic equations. Simulation steady state results under rest and under variable physical exercise conditions, as well as under limiting conditions show a high qualitative agreement with clinical observations reported in literature. This object-oriented modelling approach, based on the combined use of electrical analogies, proves to be avaluable tool as a test bench for different strategies aimed to qualitative prediction of the effects of cardiorespiratory interactions during exercise, thus avoiding the formulation of complex mathematical models.

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基于组合电类比的心肺系统物理建模和计算机模拟

摘要使用计算机模拟工具对人类心肺系统进行建模，可以帮助医生了解心肺疾病的病因和发展。本文的目的是通过分别结合类似的液压电路和扩散电路，开发心血管和呼吸系统的集成模型及其内在控制机制。该建模任务是在SIMSCAPE中使用面向对象语言执行的，使用物理互连组件来定义底层动态方程。在休息、可变体育锻炼条件下以及极限条件下的模拟稳态结果与文献中报道的临床观察结果在质量上高度一致。这种基于电类比组合使用的面向对象建模方法被证明是一种可用的工具，可以作为不同策略的测试台，旨在定性预测运动过程中心肺相互作用的影响，从而避免复杂数学模型的形成。

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来源期刊

Mathematical and Computer Modelling of Dynamical Systems 数学-计算机：跨学科应用

CiteScore

3.80

自引率

5.30%

发文量

审稿时长

>12 weeks

期刊介绍： Mathematical and Computer Modelling of Dynamical Systems (MCMDS) publishes high quality international research that presents new ideas and approaches in the derivation, simplification, and validation of models and sub-models of relevance to complex (real-world) dynamical systems. The journal brings together engineers and scientists working in different areas of application and/or theory where researchers can learn about recent developments across engineering, environmental systems, and biotechnology amongst other fields. As MCMDS covers a wide range of application areas, papers aim to be accessible to readers who are not necessarily experts in the specific area of application. MCMDS welcomes original articles on a range of topics including: -methods of modelling and simulation- automation of modelling- qualitative and modular modelling- data-based and learning-based modelling- uncertainties and the effects of modelling errors on system performance- application of modelling to complex real-world systems.