Rogers Jack M
Department of Biomedical Engineering, University of Alabama at Birmingham, 1670 University Blvd., Volker Hall B140, Birmingham, AL 35294, USA.
IEEE Trans Biomed Eng. 2004 Jan;51(1):56-65. doi: 10.1109/TBME.2003.820341.
Much of the research into the mechanisms of ventricular fibrillation (VF) employs high-resolution mapping of electrical activation and recovery patterns. We previously developed a method for analyzing electrically mapped VF patterns that was based on identifying individual VF wavefronts. We now introduce a related method designed to take into account the information on repolarization that is present in optically mapped VF data. The new method first converts raw fluorescence data to an angular variable that tracks the phase of the mapped tissue through the depolarization-repolarization cycle. We define wavefronts in this context as isolines of phase that terminate either at boundaries or at singular points within the phase field. These singularities are the pivots of functional reentry and are important determinants of VF patterns. We parameterize VF by constructing data structures that describe wavefronts and singularities and also maintain wavefront-wavefront, wavefront-singularity, and singularity-singularity relationships. We describe one important application of this parameterization, which is to identify, localize, and characterize the importance of occurrences of propagation block during VF.
许多关于心室颤动（VF）机制的研究都采用了电激活和恢复模式的高分辨率映射。我们之前开发了一种基于识别单个VF波前分析电映射VF模式的方法。现在，我们引入一种相关方法，旨在考虑光学映射VF数据中存在的复极化信息。新方法首先将原始荧光数据转换为一个角度变量，该变量通过去极化-复极化周期跟踪映射组织的相位。在此背景下，我们将波前定义为相位等值线，其终止于相位场的边界或奇点。这些奇点是功能性折返的枢轴，也是VF模式的重要决定因素。我们通过构建描述波前和奇点的数据结构并维护波前-波前、波前-奇点和奇点-奇点关系来对VF进行参数化。我们描述了这种参数化的一个重要应用，即识别、定位VF期间传播阻滞的发生情况并表征其重要性。
