哺乳动物左心室化学-机械转导的键合图模型

Jacques LeFèvre, Laurent Lefèvre, Bernadette Couteiro
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引用次数: 23

摘要

我们提出了一个新的哺乳动物左心室泵行为的集总模型,该模型基于简单但生理上合理的肌肉化学-机械能量传导、心室壁机械-液压能量传导和心室及其动脉负荷的血流动力学耦合的子模型。该模型建立在经典模拟心室模型(动态顺应性模型和粘弹性模型)的基础上。然而,从能量的角度来看,这些经典模型是不一致的。为了确保这种一致性,我们引入了明确的跨桥机制,通过双端口电容(2PC)换能器连接到模型的机械-液压部分,代表化学-机械耦合。我们表明,这种2PC在热力学上是合理的,并且当与化学能产生和传递的耗散模型相结合时,在全球泵水平上提供了一种新颖而一致的心脏能量学特征。最后,我们简要讨论了用函数方程描述的非线性元素来表示肌肉记忆和超激活的一些推广。众所周知,语言塑造感知。在所有集总建模语言中,键合图(BG)方法是唯一使用2PC概念作为原始建模概念的方法。因此,我们的假设(心理模型)直接受到我们使用BG语言这一事实的启发。因此,我们的工作非常清楚地证明了bg在形成关于多能量和非线性生理应用的新思想方面的启发式和描述性力量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A bond graph model of chemo-mechanical transduction in the mammalian left ventricle

We present a new lumped model of the pump behaviour of the mammalian left ventricle based on simple but physiologically plausible sub-models of chemo-mechanical energy transduction in muscle, mechano-hydraulic energy transduction in the ventricular wall and hemodynamical coupling of the ventricle and its arterial load. The model builds upon the foundation of classical analog ventricular models (dynamic compliance and visco-elastic models). However, we show that these classical models are not coherent from an energy viewpoint. To insure this coherency, we introduce explicit cross-bridge mechanisms linked to the mechano-hydraulical part of the model by a two-port capacitive (2PC) transducer representing chemo-mechanical coupling. We show that this 2PC is thermodynamically plausible and, when coupled to dissipative models of chemical energy generation and transfer, provides a novel and consistent characterisation of cardiac energetics at the global pump level. Finally, we briefly discuss some generalisations using nonlinear elements described by functional equations to represent muscle memory and sur-activation.

It is a well-known fact that languages shape perception. Of all the lumped modelling languages, the bond graph (BG) method is the only one to use the notion of a 2PC as a primitive modelling concept. Our hypothesis (mental model) is thus directly inspired by the fact that we use the BG language. Our claim is thus that our work demonstrates very clearly the heuristic and descriptive power of BGs in shaping new ideas about multi-energy and nonlinear physiological applications.

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