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Cardiac video analysis using Hodge Helmholtz field decomposition.

机译:使用Hodge Helmholtz场分解进行心脏视频分析。

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摘要

Ventricular fibrillation (VF) is an extremely rapid, highly irregular heart arrhythmia originating in the ventricles. When the VF occurs, the heart loses its capability of pumping blood, and the patients die within minutes unless the VF is immediately stopped. The mechanisms of the VF are still not completely understood. Several hypotheses suggest that it is important to extract the pure expanding component and the pure rotational component from the cardiac electrical patterns.;In this thesis, we first implement the 2-D discrete Hodge-Helmholtz field decomposition (DHHFD) based on regular triangular grids such that it can be directly used for video analysis. We then analyze the optical flow of the cardiac electrical patterns using the 2-D DHHFD. The pure expanding and the pure rotational motion components of the cardiac electrical signals are extracted. Analyses of the decomposed motion components have shown that the VF might be caused by the strong rotational components of the dynamical cardiac electrical patterns. Techniques have also been developed to detect the dominant critical points such as sources, sinks, and rotational centers in the cardiac electrical patterns. The critical points provide important clues for describing and understanding the abnormal propagation of the cardiac electrical signals. The proposed framework also provides a general tool for analysis of the fluid dynamics.
机译:心室纤颤(VF)是一种源自心室的非常快速,高度不规则的心律不齐。当发生室颤时,心脏会失去其抽血能力,除非室颤立即停止,否则患者会在数分钟内死亡。 VF的机制仍不完全了解。几个假设表明从心脏电图中提取纯扩展分量和纯旋转分量很重要。;在本文中,我们首先基于规则三角形网格实现了二维离散Hodge-Helmholtz场分解(DHHFD)使其可以直接用于视频分析。然后,我们使用2-D DHHFD分析心脏电图样的光流。提取心脏电信号的纯扩展分量和纯旋转运动分量。对分解的运动分量的分析表明,VF可能是由动态心脏电图的强旋转分量引起的。还已经开发出用于检测主要临界点的技术,例如心脏电模式中的源,吸收点和旋转中心。临界点为描述和理解心脏电信号的异常传播提供了重要线索。提出的框架还提供了用于分析流体动力学的通用工具。

著录项

  • 作者

    Guo, Qinghong.;

  • 作者单位

    University of Alberta (Canada).;

  • 授予单位 University of Alberta (Canada).;
  • 学科 Engineering Biomedical.;Engineering Electronics and Electrical.
  • 学位 M.Sc.
  • 年度 2004
  • 页码 141 p.
  • 总页数 141
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 老年病学;
  • 关键词

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