4.7 Article

Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping

期刊

COMPUTERS IN BIOLOGY AND MEDICINE
卷 65, 期 -, 页码 229-242

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compbiomed.2015.04.027

关键词

Conduction velocity; Cardiac electrophysiology; Local activation time; Cardiac mapping; Arrhythmias

资金

  1. British Heart Foundation (BHF) [FS/11/22/28745, RG/10/11/28457]
  2. EPSRC [EP/K038788/1]
  3. Imperial BHF Centre of Research Excellence
  4. Academy of Medical Sciences Starter Grant [AMS-SGCL8-Ng]
  5. National Institute of Health Research Clinical Lectureship [LDN/007/255/A]
  6. NIHR Biomedical Research Centre
  7. ElectroCardioMaths programme, part of the Imperial BHF Centre of Research Excellence
  8. Academy of Medical Sciences (AMS) [AMS-SGCL8-Ng] Funding Source: researchfish
  9. British Heart Foundation [RG/10/11/28457, FS/11/22/28745, FS/11/69/29017] Funding Source: researchfish
  10. Engineering and Physical Sciences Research Council [EP/K038788/1] Funding Source: researchfish
  11. Medical Research Council [G0900396] Funding Source: researchfish
  12. National Institute for Health Research [CL-2011-21-001] Funding Source: researchfish
  13. EPSRC [EP/K038788/1] Funding Source: UKRI
  14. MRC [G0900396] Funding Source: UKRI

向作者/读者索取更多资源

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. (C) 2015 The Authors. Published by Elsevier Ltd.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据