Whole heart modeling — Spatiotemporal dynamics of electrical wave conduction and propagation

Whole heart modeling — Spatiotemporal dynamics of electrical wave conduction and propagation
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全心脏建模 – 电波传导和传播的时空动力学

DOI:
10.1109/embc.2016.7591990
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发表时间:
2016
期刊:
Proceedings of 2016 IEEE Engineering in Medicine and Biology Society Conference (EMBC
影响因子:
--
通讯作者:
Leonelli, Fabio M.
Leonelli, Fabio M.
中科院分区:
--
文献类型:
--
作者:
Yang, Hui;Chen, Yun;Leonelli, Fabio M.

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心电活动在空间和时间上都是不同的。人类心脏是由肌肉细胞、浦肯野纤维、动脉和静脉组成的分形网络。整个心脏的电波传导和传播模型涉及到更高层次的复杂性。我们以前的工作开发了一个解剖学上真实的心脏的计算机模型,并使用细胞自动机模拟了电传导。然而,由于非线性动力系统对初始条件的敏感依赖,简单的假设和规则限制了它在复杂心脏表面上提供真实世界动力学精确近似的能力。在本文中,我们提出了新的反应扩散方法和模式识别工具来模拟和模拟复杂心脏表面上的电波传导和传播的时空动力学,包括:(1)全心脏模型;(ii)三维心脏几何图形的二维等距制图;(3)二维波形的反应扩散建模;(4)时空模式识别。实验结果表明,所提出的数值解具有较强的潜力来模拟整个心脏中电波传导的时空动力学,从而更好地了解疾病改变的心脏机制。
Cardiac electrical activities are varying in both space and time. Human heart consists of a fractal network of muscle cells, Purkinje fibers, arteries and veins. Whole-heart modeling of electrical wave conduction and propagation involves a greater level of complexity. Our previous work developed a computer model of the anatomically realistic heart and simulated the electrical conduction with the use of cellular automata. However, simplistic assumptions and rules limit its ability to provide an accurate approximation of real-world dynamics on the complex heart surface, due to sensitive dependence of nonlinear dynamical systems on initial conditions. In this paper, we propose new reaction-diffusion methods and pattern recognition tools to simulate and model spatiotemporal dynamics of electrical wave conduction and propagation on the complex heart surface, which include (i) whole heart model; (ii) 2D isometric graphing of 3D heart geometry; (iii) reaction-diffusion modeling of electrical waves in 2D graph, and (iv) spatiotemporal pattern recognition. Experimental results show that the proposed numerical solution has strong potentials to model the space-time dynamics of electrical wave conduction in the whole heart, thereby achieving a better understanding of disease-altered cardiac mechanisms.
DOI: 10.1161/circresaha.110.223610
发表时间: 2011-01-07
影响因子: 20.1
作者:
Trayanova NA
通讯作者: Trayanova NA
DOI: --
发表时间: 2014
期刊: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
影响因子: --
作者:
Di Yu;D. Du;Hui Yang;Yi
通讯作者: Yi