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Parameters for Minimal Model of Cardiac Cell from Two Different Methods: Voltage-Clamp and MSE Method

Sudden cardiac death is one of the most important reasons that has been recently increased the mortality rate in the world. There are many reasons that can cause cardiac death, but the most common of it, is the cardiac arrhythmia. Study of heart arrhythmia dynamics in human and finding their relation with cell processes, needs a cardiac cell model. This model should be able to represent adequate details about electrophysiology. Besides this ability, it should comprise minimum number of state variables and be computationally minimal. In this paper, a general form of nonlinear and minimal model with two-state variables is presented to cardiac muscle cell. Then, parameters of this model have been fitted by using the mean square error (MSE) and Voltage-Clamp method. In the end, this paper shows that the proposed method has better accuracy and efficiency in comparison of the method that is based on voltage-clamp.

Author(s): Soheila Esmaeili, and Bahareh beheshti

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