Clayton Richard H, Holden Arun V
Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Street, Sheffield S1 4DP, UK.
IEEE Trans Biomed Eng. 2004 Jan;51(1):28-34. doi: 10.1109/TBME.2003.820356.
The aim of this paper was to quantify the behavior of filaments in a computational model of re-entrant ventricular fibrillation. We simulated cardiac activation in an anisotropic monodomain with excitation described by the Fenton-Karma model with Beeler-Reuter restitution, and geometry by the Auckland canine ventricle. We initiated re-entry in the left and right ventricular free walls, as well as the septum. The number of filaments increased during the first 1.5 s before reaching a plateau with a mean value of about 36 in each simulation. Most re-entrant filaments were between 10 and 20 mm long. The proportion of filaments touching the epicardial surface was 65%, but most of these were visible for much less than one period of re-entry. This paper shows that useful information about filament dynamics can be gleaned from models of fibrillation in complex geometries, and suggests that the interplay of filament creation and destruction may offer a target for antifibrillatory therapy.
本文的目的是在折返性心室颤动的计算模型中量化细丝的行为。我们在一个各向异性单域中模拟心脏激活，其兴奋由具有Beeler-Reuter恢复特性的Fenton-Karma模型描述，几何形状由奥克兰犬心室表示。我们在左、右心室游离壁以及室间隔中引发折返。在达到平稳期之前的最初1.5秒内，细丝数量增加，每次模拟中的平均值约为36。大多数折返细丝的长度在10到20毫米之间。接触心外膜表面的细丝比例为65%，但其中大多数在不到一个折返周期的时间内可见。本文表明，可以从复杂几何形状的颤动模型中收集有关细丝动力学的有用信息，并表明细丝产生和破坏的相互作用可能为抗纤颤治疗提供一个靶点。
