Ventricular activation patterns can aid clinical decision-making directly by providing spatial information on cardiac electrical activation or indirectly through derived clinical indices. The aim of this work was to derive an atlas of the major modes of variation of ventricular activation from model-predicted 3D bi-ventricular activation time distributions and to relate these modes to corresponding vectorcardiograms (VCGs). We investigated how the resulting dimensionality reduction can improve and accelerate the estimation of activation patterns from surface electrogram measurements.

中文翻译：

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基于图谱的有效表征患者特异性心室激活模式的方法

心室激活模式可以直接通过提供有关心脏电激活的空间信息或通过衍生的临床指标间接帮助临床决策。这项工作的目的是从模型预测的 3D 双心室激活时间分布中得出心室激活主要变化模式的图谱，并将这些模式与相应的矢量心电图 (VCG) 相关联。我们研究了由此产生的降维如何改进和加速从表面电图测量中估计激活模式。