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Identifying wave sources using flow velocity method in excitable media.

Jin-Tao Mei1, Qi-Hao Li2, Yuan-Xun Xia3

  • 1Zhejiang University, Zhejiang Institute of Modern Physics, School of Physics, Hangzhou 310058, China.

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|May 16, 2026
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Summary
This summary is machine-generated.

A new method accurately identifies and locates sources of abnormal cardiac waves, including spiral, target, and obstacle-rotating waves. This advance aids in understanding and treating life-threatening cardiac arrhythmias.

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Area of Science:

  • Cardiovascular Physiology
  • Computational Biology
  • Nonlinear Dynamics

Background:

  • Cardiac tissue exhibits complex spatiotemporal wave patterns.
  • Abnormal waves, such as focal and rotational activity, can cause life-threatening cardiac arrhythmias.
  • Current methods for identifying wave sources are limited, primarily focusing on phase singularities of spiral waves.

Purpose of the Study:

  • To develop a comprehensive method for identifying and locating sources of various abnormal cardiac wave types.
  • To overcome limitations of existing methods in detecting target waves and waves rotating around obstacles.
  • To improve the clinical guidance for treating cardiac arrhythmias by accurately pinpointing wave origins.

Main Methods:

  • Computed transmembrane potential velocity fields using optical flow techniques.
  • Identified potential wave sources by locating zero-velocity fixed points in the velocity field.
  • Classified wave source types using Jacobian matrix analysis.

Main Results:

  • Successfully identified spiral waves, target waves, and waves rotating around obstacles.
  • Accurately located the sources of these diverse wave patterns.
  • Demonstrated robustness and accuracy in simulated complex scenarios, including obstacles and background noise.

Conclusions:

  • The proposed method effectively identifies and classifies various cardiac wave sources.
  • This technique offers a significant improvement over existing methods for arrhythmia source localization.
  • The findings have potential implications for enhanced diagnosis and treatment strategies for cardiac arrhythmias.