An effective computational method using a minimal single-cell model and nonlinear optimization can reproduce specific empirical action potentials in human atria, with potential applications for supporting clinical diagnosis.
May aid atrial model personalization; leaves open clinical validation before diagnostic use.
We present an effective method to model empirical action potentials of specific patients in the human atria based on the minimal model of Bueno-Orovio, Cherry and Fenton adapted to atrial electrophysiology. In this model, three ionic are currents introduced, where each of it is governed by a characteristic time scale. By applying a nonlinear optimization procedure, a best combination of the respective time scales is determined, which allows one to reproduce specific action potentials with a given amplitude, width and shape. Possible applications for supporting clinical diagnosis are pointed out.
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Richter et al. (2018) studied this question.
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