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Singular Value Decomposition of Optically-Mapped Cardiac Rotors and Fibrillatory Activity.

A Rabinovitch1, Y Biton1, D Braunstein2

  • 1Physics Department, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel.

Journal of Physics D: Applied Physics
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Singular value decomposition (SVD) reveals organizational patterns in cardiac fibrillation. This method helps identify drivers of arrhythmia, improving our understanding of heart electrical activity.

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Singular Value Decompositiondominant frequencyphase analysisrotorsventricular fibrillation

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Area of Science:

  • Cardiology
  • Computational Biology
  • Biophysics

Background:

  • Understanding cardiac arrhythmia mechanisms, including drivers of fibrillation, is crucial but hampered by controversies regarding source number and type.
  • Current methods struggle to precisely localize the sources driving complex cardiac electrical activity.

Purpose of the Study:

  • To introduce and validate a novel application of neutral singular value decomposition (SVD) for analyzing cardiac excitation patterns.
  • To enhance the classification of cardiac electrical activity and identify drivers of fibrillation without prior assumptions.

Main Methods:

  • Application of neutral singular value decomposition (SVD) to extract spatial and temporal modes from rotor and fibrillatory waves.
  • Analysis of experimental models of cardiac fibrillation in rabbit hearts.

Main Results:

  • SVD successfully identified patterns of organization within seemingly random excitation waves.
  • The analysis enhanced the classification of electrical patterns, distinguishing regions with drivers (fast reentrant activity) from passive regions.
  • A novel observation of mode transfer from driving to passive regions was revealed, indicating partial passive region response.

Conclusions:

  • Neutral SVD is a powerful, assumption-free tool for analyzing complex cardiac electrical activity and identifying fibrillation drivers.
  • The method clarifies the organization of excitation waves and reveals new insights into driver-passive region interactions during cardiac fibrillation.