Predicting spiral wave stability by personalized electrophysiology models
Predicting spiral wave stability by personalized electrophysiology models
复制标题
通过个性化电生理学模型预测螺旋波稳定性
DOI：
10.22489/cinc.2016.069-199
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
S. Niederer
中科院分区：
文献类型：
--
作者：
C. Corrado;J. Whitaker;H. Chubb;Steven E. Williams;M. Wright;J. Gill;M. O'Neill;S. Niederer
识别能够支持持续折返性螺旋波激活模式的心房组织为房性心律失常提供了一个潜在的消融靶点。目前识别这种基质的策略需要患者处于心房颤动状态，并需要大型专门的导管或反向心电背心。我们提出了一种新的方法来根据标准的多电极导管测量来个性化生物物理离子模型，并通过对组织区域的计算机模拟来预测螺旋波的稳定性。将该方法应用于5例临床病例，在5×5cm2的均匀组织平板上分析了螺旋波的稳定性，并识别出稳定的(2/5)和不稳定的(3/5)自终止转子。
Identifying the atrial tissue that is capable of supporting sustained re-entrant spiral wave activation patterns offers a potential ablation target for atrial arrhythmias. Current strategies for identifying this substrate require the patient to be in atrial fibrillation and require a large specialized catheter or an inverse ECG vest. We propose a novel method to personalize biophysical ionic models from standard multi-electrode catheter measurements and to predict spiral wave stability using computer simulations of a tissue region. The developed method was applied to 5 clinical cases; the spiral wave stability was analyzed on a 5×5 cm2 homogeneous tissue slab and stable (2/5) and unstable self-terminating (3/5) rotors were identified.
影响因子：
1.3
作者：
McDowell KS;Vadakkumpadan F;Blake R;Blauer J;Plank G;MacLeod RS;Trayanova NA
通讯作者：
Trayanova NA