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An Ionically Based Mapping Model with Memory for Cardiac Restitution

机译:一种基于远离心脏恢复原的映射模型

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摘要

Many features of the sequence of action potentials produced by repeatedstimulation of a cardiac patch can be modeled by a 1D mapping, but not the fullbehavior observed in the restitution portrait: in particular, not (i) distinctslopes for dynamic and S1-S2 restitution (rate dependence) and not (ii) longtransients in the approach to steady state (accomodation). To address theseshortcomings, emph{ad hoc} 2D mappings, where the second variable is a``memory'' variable, have been proposed; it seems that these models exhibitsome, but not all, of the relevant behavior. In this paper we introduce a new2D mapping and determine a set of parameters for it that gives a ratheraccurate description of the full restitution portrait found for one animal. Thechanges in the mapping, compared to previous models, result from requiring thatthe mapping can be derived as an asymptotic limit of a simple ionic model.Among other benefits, one can interpret the parameters in the mapping in termsof the ionic model. The ionic model is an extension of a two-current model thatadds a third dependent variable, a generalized concentration. The simplicity ofthe ionic model and the physiological basis for the mapping contribute to theusefulness of these ideas for describing restitution data in a variety ofcontexts. The fitting procedure is straightforward and can easily be applied toobtain a mathematical model for data from other experiments, includingexperiments on different species. Uniqueness of the parameter choice is alsodiscussed.
机译:可以通过一维映射来模拟重复刺激心脏斑块所产生的动作电位序列的许多特征,但不能通过复原肖像观察到完整的行为:特别是不能(i)动态和S1-S2复原的明显斜率(比率依赖),而不是(ii)达到稳态(适应)的长期过渡。为了解决这些缺点,已经提出了 emph {ad hoc} 2D映射,其中第二个变量是“内存”变量;这些模型似乎展示了一些但不是全部的相关行为。在本文中,我们介绍了一种new2D映射,并为其确定了一组参数,这些参数给出了对一只动物的完整复原肖像的相当准确的描述。与以前的模型相比,映射中的变化是由于要求可以将映射作为简单离子模型的渐近极限而得出的。除其他好处外,还可以根据离子模型解释映射中的参数。离子模型是双电流模型的扩展,该模型增加了第三个因变量,即广义浓度。离子模型的简单性和作图的生理学基础有助于这些想法在各种情况下描述恢复数据的有用性。拟合过程很简单,可以很容易地用于从其他实验(包括不同物种的实验)中获得数学模型。还讨论了参数选择的唯一性。

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