Detection of Abnormal Cardiac Activity Using Principal Component Analysis-A Theoretical Study
Detection of Abnormal Cardiac Activity Using Principal Component Analysis-A Theoretical Study
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DOI：
10.1109/tbme.2014.2342792
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发表时间：
2015-01-01
影响因子：
4.6
通讯作者：
Zlochiver, Sharon
中科院分区：
文献类型：
--
作者：
Greisas, Ariel;Zafrir, Zohar;Zlochiver, Sharon
最近开发了电图引导消融，可以更好地检测和定位可能是心律失常根源的异常心房活动。然而，到目前为止，还没有明确的迹象表明使用电描记图引导消融相对于经验消融的益处，并且显然需要改进消融的心律失常靶标的定位。在本文中，我们提出了一种基于降维算法和主成分分析（PCA）的消融过程中检测和定位不规则心脏活动的新方法。我们的方法使用 8 x 8 电极阵列产生歧管，可以轻松可视化和检测以不规则传导为特征的可能致心律失常消融目标。我们采用数学建模和计算机模拟来证明新方法对于不规则传导螺旋波和斑片状纤维化的两种成熟心律失常源的可行性。我们的结果表明，PCA 方法可以区分焦点异位活动和螺旋波活动，因为这两种类型的活动产生显着不同的流形形状。此外，该技术还可以检测螺旋波芯及其一般的蜿蜒和漂移模式。对于静态心房组织和表现出螺旋波活动的组织，也可以使用 PCA 方法对大于 2 mm(2) 的纤维化斑块进行可视化。我们设想，这种方法，根据更复杂、现实的几何结构和临床数据的进一步数值和实验验证研究，可以提高现有的心房消融绘图能力，从而提高成功率并优化心律失常管理。
Electrogram-guided ablation has been recently developed for allowing better detection and localization of abnormal atrial activity that may be the source of arrhythmogeneity. Nevertheless, no clear indication for the benefit of using electrograms guided ablation over empirical ablation was established thus far, and there is a clear need of improving the localization of cardiac arrhythmogenic targets for ablation. In this paper, we propose a new approach for detection and localization of irregular cardiac activity during ablation procedures that is based on dimension reduction algorithms and principal component analysis (PCA). Using an 8 x 8 electrode array, our method produces manifolds that allow easy visualization and detection of possible arrhythmogenic ablation targets characterized by irregular conduction. We employ mathematical modeling and computer simulations to demonstrate the feasibility of the new approach for two well established arrhythmogenic sources for irregular conduction-spiral waves and patchy fibrosis. Our results show that the PCA method can differentiate between focal ectopic activity and spiral wave activity, as these two types of activity produce substantially different manifold shapes. Moreover, the technique allows the detection of spiral wave cores and their general meandering and drifting pattern. Fibrotic patches larger than 2 mm(2) could also be visualized using the PCA method, both for quiescent atrial tissue and for tissue exhibiting spiral wave activity. We envision that this method, contingent to further numerical and experimental validation studies in more complex, realistic geometrical configurations and with clinical data, can improve existing atrial ablation mapping capabilities, thus increasing success rates and optimizing arrhythmia management.