ARRHYTHMIAS & CHAOS

这个项目的目标是阐明调节 通过以下三个方面的工作来治疗心律失常：（1） 模拟抗心律失常药物的作用 用计算机模拟的方法，（2）发展“精确”算法 这将使我们能够从单一的 通道膜片钳记录，和（3）表征新类型的 细胞兴奋性可能引起的混乱。 实现首 目的，我们将研究Na+的激动剂和拮抗剂的作用， Ca2+和K+通道的计算机模拟和分叉 分析。 这项研究将使我们能够找到导致 抗心律失常药物的预防作用及治疗方法 有效地使用这些药物。 在第二 方法，我们将开发一个RaccurateS算法， 最大似然分析方法的熵最大化。 使用这种算法，我们将阐明定量的作用， 心室肌细胞内钙通道。 为了实现第三个 目的，我们将进行一个可激励的分岔分析， 细胞模型。 这项研究将引导我们 描述了新类型的混沌， 心脏细胞和神经元。

The goal of this project is to elucidate the factors that modulate cardiac arrhythmias by working on the following three areas: (1) simulating the effect of antiarrhythmic drugs on cardiac arrhythmias by means of computer modelling, (2) developing Raccurate" algorithms which will allow us to extract the kinetic parameters from the single channel patch-clamp recordings, and (3) characterizing new types of chaos that may arise from cellular excitability. To achieve the first goal, we will study the effect of agonists and antagonists of Na+, Ca2+, and K+ channels by means of computer modelling and bifurcation analyses. This study will allow us to find the factors that cause the proarrhythmic effect by antiarrythmic drugs and suggest means to treat cardiac arrhythmicas effectively using these drugs. In the second approach, we will develop an RaccurateS algorithm by combining entropic maximization with the maximum-likelihood analysis method. Using this algorithm, we will elucidate the quantitative role of the Ca2+ channels in the ventricular cells. To achieve the third objective, we will carry out a bifurcation analysis on the excitable cell models developed by our group. This study will lead us the characterization of new types of chaos that are associated with cardiac cells and neurons.