Introduction: Quantitative analysis of complex self-excitatory wave pattern
s, such as cardiac fibrillation and other high-order reentry, requires the
development of new tools for identifying and tracking the most important fe
atures of the activation, such as phase singularities.
Methods and Results: Image processing operations can be used to detect the
phase singularity at the tip of a spiral wave. The phase space behavior of
a spatiotemporal sequence of data may be reconstructed using time-series an
alysis. The phase singularities then are localized efficiently by computing
the topologic charge density as the curl of the spatial phase gradient, We
analyzed the singularity interaction dynamics of both experimentally obser
ved and numerically simulated instances of quatrefoil reentry and found tha
t the singularity behavior in the experimental preparations can be classifi
ed into three categories on the basis of how their separation changes with
time.
Conclusion: Topologic charge densities can be calculated easily and efficie
ntly to reveal phase singularity behavior. However, the differences between
theoretical and experimental observations of singularity separation distan
ces indicate the need for more sophisticated numerical models.