Topological charge-weighted method of identifying the phase singularity at low spatial resolution

Area of Science:

• Cardiovascular Electrophysiology
• Computational Biology

Background:

• Spiral waves in cardiac tissue are linked to arrhythmias.
• Accurate phase singularity (PS) detection is crucial for studying cardiac arrhythmias.
• Low-resolution clinical data limits conventional PS detection methods, causing false positives.

Purpose of the Study:

• To address the challenge of inaccurate phase singularity detection in low-resolution cardiac data.
• To develop a novel method for improving the accuracy and localization of spiral wave tips in clinical electrophysiological studies.

Main Methods:

• Analysis of false point characteristics in low-resolution phase singularity data.
• Development and application of the topological charge-weighted method.
• Generation of a continuous spatial phase singularity trajectory.

Main Results:

• Identified that false phase singularity points in low-resolution data often appear as adjacent pairs with opposite chirality.
• The topological charge-weighted method effectively reduces phase singularity detection error rates.
• Improved localization accuracy for spiral wave tips in low-resolution cardiac data.

Conclusions:

• The topological charge-weighted method is suitable for single spiral wave systems in low-resolution data.
• This novel approach enhances the reliability of phase singularity detection for cardiac arrhythmia research.
• Improved PS detection can lead to better understanding and management of cardiac arrhythmias.