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Methods for Identifying and Tracking Phase Singularities in Computational Models of Re-entrant Fibrillation

  • Ekaterina Zhuchkova
  • Richard Clayton
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3504)

Abstract

The dangerous cardiac arrhythmias of tachycardia and fibrillation are most often sustained by re-entry. Re-entrant waves rotate around a phase singularity, and the identification and tracking of phase singularities allows the complex activity observed in both experimental and computational models of fibrillation to be quantified. In this paper we present preliminary results that compare two methods for identifying phase singularities in a computational model of fibrillation in 2 spatial dimensions. We find that number of phase singularities detected using each method depends on choosing appropriate parameters for each algorithm, but that if an appropriate choice is made there is little difference between the two methods.

Keywords

Ventricular Fibrillation Topological Charge Spiral Wave Membrane Voltage Phase Singularity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Ekaterina Zhuchkova
    • 1
  • Richard Clayton
    • 2
  1. 1.Physics FacultyMoscow State UniversityMoscowRussia
  2. 2.Department of Computer ScienceUniversity of SheffieldSheffieldUK

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