Cardiac Tissue Repolarization Mapping via Vectorcardiogram Loops
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Solution Overview
Problem
Current electrophysiological mapping techniques face challenges in accurately mapping cardiac tissue repolarization, particularly in identifying regions responsible for sustaining tachycardias, as they struggle to effectively visualize repolarization patterns and conduction velocities, leading to inadequate targeting for ablation procedures.
Innovation Solution
An electroanatomical mapping system that receives data from a multi-electrode catheter, identifies depolarization direction, computes vectorcardiogram repolarization loops, and generates a cardiac tissue repolarization map, including activation recovery intervals and conduction velocities, to create detailed graphical and animated representations of repolarization and activation wavefronts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional electrophysiological mapping techniques are used, then the mapping process is simple, but the precision of repolarization mapping is insufficient
Solution Approach 1:
The system divides the cardiac tissue into multiple cliques (groups of electrodes) and processes each clique independently to compute vectorcardiogram repolarization loops. This segmentation allows precise local repolarization mapping while managing computational complexity through modular processing.
Solution Approach 2:
The patent transitions from traditional one-dimensional electrogram analysis to two-dimensional vectorcardiogram loop analysis. By computing repolarization vectors in multiple dimensions and visualizing them as loops, the system achieves precise repolarization mapping without excessive complexity increase.
2Measurement precision
If detailed repolarization mapping is performed, then the identification of arrhythmia-sustaining regions is improved, but the time required for mapping increases
Solution Approach 1:
The system pre-processes electrogram data by identifying depolarization directions and computing baseline vectorcardiogram loops before analyzing repolarization. This preliminary action establishes reference frames that accelerate subsequent repolarization timing measurements and arrhythmia region identification.
Solution Approach 2:
The system iteratively refines repolarization timing measurements by comparing vectorcardiogram loop characteristics against identified arrhythmia criteria. This feedback mechanism allows rapid convergence on accurate arrhythmia-sustaining region identification without excessive computational time.
3Measurement precision
If vectorcardiogram repolarization loops are computed for each clique, then the repolarization mapping accuracy is improved, but the computational complexity increases
Solution Approach 1:
The system computes vectorcardiogram repolarization loops only for cliques that show abnormal electrical activity or are located in suspected arrhythmia regions. This localized computation maintains high measurement precision for critical areas while reducing overall computational complexity by skipping normal tissue analysis.
Solution Approach 2:
The system dynamically adjusts the level of computational detail based on detected electrical characteristics. For cliques with normal repolarization patterns, the system uses simplified analysis parameters, while cliques showing arrhythmia signs trigger comprehensive vectorcardiogram loop computation, optimizing the balance between precision and complexity.
Data Source
AI summary
A method of mapping cardiac tissue repolarization with an electroanatomical mapping system includes receiving electrophysiological data from a plurality of electrodes on a multi-electrode catheter. The electrodes define a plurality of cliques. For each clique, the electroanatomical mapping system can compute a vectorcardiogram including a depolarization loop and a repolarization loop, identify a depolarization time on the depolarization loop, define a repolarization interval, after the depolarization time, and identify a repolarization time, within the repolarization interval, on the repolarization loop. Over a plurality of beats and at different locations within the heart, this process creates a cardiac tissue repolarization map, which can be output graphically in various forms, including isochronal maps of repolarization time and/or activation recovery interval, representations of activation distance margin, and animated representations of propagating depolarization and repolarization wavefronts.