心脏动力学中的混沌控制:用局部最小起搏终止混沌状态。

Frontiers in network physiology Pub Date : 2024-07-03 eCollection Date: 2024-01-01 DOI:10.3389/fnetp.2024.1401661
Daniel Suth, Stefan Luther, Thomas Lilienkamp
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引用次数: 0

摘要

目前治疗心律失常(如心室颤动)的方法包括应用高能量电击,这会在心肌中诱发大量电流,因此会产生严重的副作用,如可能的组织损伤和创伤后应激。通过对四种不同的二维可激介质模型进行数值模拟,本研究证明,在跨膜电位平均值的局部极小值后不久施加低能量脉冲可获得较高的成功率。我们针对每个模型的十个初始条件、十个空间上不同的刺激和不同的冲击振幅,评估了这种方法的性能。所研究的二维可激介质模型涵盖了广泛的主导频率和相位奇异点数量,这表明我们的研究结果并不局限于特定类型的模型或其参数化。因此,我们提出了一种方法,它结合了底层系统的动力学,甚至在起搏过程中也是如此,并且只依赖于标量观测指标,这在数值模拟中很容易测量。
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Chaos control in cardiac dynamics: terminating chaotic states with local minima pacing.

Current treatments of cardiac arrhythmias like ventricular fibrillation involve the application of a high-energy electric shock, that induces significant electrical currents in the myocardium and therefore involves severe side effects like possible tissue damage and post-traumatic stress. Using numerical simulations on four different models of 2D excitable media, this study demonstrates that low energy pulses applied shortly after local minima in the mean value of the transmembrane potential provide high success rates. We evaluate the performance of this approach for ten initial conditions of each model, ten spatially different stimuli, and different shock amplitudes. The investigated models of 2D excitable media cover a broad range of dominant frequencies and number of phase singularities, which demonstrates, that our findings are not limited to a specific kind of model or parameterization of it. Thus, we propose a method that incorporates the dynamics of the underlying system, even during pacing, and solely relies on a scalar observable, which is easily measurable in numerical simulations.

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