Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping.
Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping.
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DOI：
10.1016/j.compbiomed.2015.04.027
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发表时间：
2015-10-01
影响因子：
7.7
通讯作者：
Peters NS
中科院分区：
文献类型：
--
作者：
Cantwell CD;Roney CH;Ng FS;Siggers JH;Sherwin SJ;Peters NS
在临床和实验室环境中，心脏传导速度的测量为心律失常的发生和持续提供了有价值的功能和结构见解。激活波前及其传播的解释可以识别广泛的电生理病理的机械特性。然而，记录数据的稀疏性、分布性和不确定性使得传导速度的精确计算变得困难。为应对这一挑战，提出了各种数学方法，这些方法往往针对特定的数据模式、物种或记录环境。这些算法中的许多需要从电描记图记录中识别激活时间，电描记图记录本身可能具有复杂的形态或低信噪比。本文综述了用于识别局部激活时间和计算传导方向和速度的算法。他们的适用性在不同的记录环境和应用程序进行评估。
Measurements of cardiac conduction velocity provide valuable functional and structural insight into the initiation and perpetuation of cardiac arrhythmias, in both a clinical and laboratory context. The interpretation of activation wavefronts and their propagation can identify mechanistic properties of a broad range of electrophysiological pathologies. However, the sparsity, distribution and uncertainty of recorded data make accurate conduction velocity calculation difficult. A wide range of mathematical approaches have been proposed for addressing this challenge, often targeted towards specific data modalities, species or recording environments. Many of these algorithms require identification of activation times from electrogram recordings which themselves may have complex morphology or low signal-to-noise ratio. This paper surveys algorithms designed for identifying local activation times and computing conduction direction and speed. Their suitability for use in different recording contexts and applications is assessed.