Enhanced Computer Modeling of Cardiac Action Potential Dynamics using Experimental Data-Based Feedback.

Computing in cardiology Pub Date : 2010-09-26
Laura M Muñoz, Niels F Otani
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引用次数: 0

Abstract

Mathematical models of cardiac action potential (AP) dynamics are useful for studying the formation of dynamically significant patterns such as alternans and conduction block. A closed-loop observer is an augmented version of a mathematical model, in which experimental data are supplied to the model through feedback. In this study, tools for observer analysis were applied to a two-variable Karma model of AP dynamics. For a single-cell system, it was confirmed that membrane potential data could be used to reconstruct the system state, and that Luenberger feedback could stabilize the observer. Next an observer with a 1D geometry was tested with microelectrode membrane-potential data from a 2.1cm in vitro canine Purkinje fiber. It was shown that the observer produced more accurate AP duration (APD) estimates than the model by itself. These reconstructed quantities could be used to provide enhanced information to anti-tachyarrhythmic stimulus protocols that depend on real-time measurements.

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利用基于实验数据的反馈增强心脏动作电位动力学计算机建模
心脏动作电位(AP)动力学数学模型有助于研究交替和传导阻滞等重要动态模式的形成。闭环观测器是数学模型的增强版,其中实验数据通过反馈提供给模型。在这项研究中,观测器分析工具被应用于 AP 动态的双变量卡尔玛模型。对于单细胞系统,研究证实膜电位数据可用于重建系统状态,卢恩贝格尔反馈可稳定观测器。接下来,使用来自 2.1 厘米体外犬浦肯野纤维的微电极膜电位数据对具有一维几何形状的观测器进行了测试。结果表明,观察者比模型本身能得出更准确的APD估计值。这些重建的数量可用于为依赖实时测量的抗快速性心律失常刺激方案提供增强信息。
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CiteScore
1.10
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0.00%
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