Multi-Electrode Probe Atrial Fibrillation Block Line Detection
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Solution Overview
Problem
Current methods for mapping atrial fibrillation activation in the heart face challenges due to inadequate spatial resolution and measurement errors, particularly in identifying lines of block and characterizing complex atrial fibrillation patterns, which can distort electroanatomic maps and hinder accurate ablation procedures.
Innovation Solution
A method involving a multi-electrode probe that records electrograms, determines slopes and annotations, establishes relationships among them to identify lines of conduction block, and generates electroanatomic maps, including the use of bipolar windows, primary and secondary slopes, and conduction velocity vectors to accurately map atrial fibrillation activation patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional mapping methods are used to map atrial fibrillation activation, then the mapping can be performed with standard equipment, but the spatial resolution is inadequate and measurement errors occur
Solution Approach 1:
The patent segments the electrogram signal analysis into multiple components: primary slopes indicating local activation, secondary slopes indicating remote effects, and far-field slopes. By segmenting the signal characteristics and analyzing them separately, the system achieves more precise spatial resolution in mapping atrial fibrillation activation patterns while reducing measurement errors through multi-parameter verification.
2Measurement precision
If detailed analysis of slopes and annotations is performed to identify lines of block, then the accuracy of fibrillation pattern characterization improves, but the complexity of the mapping process increases
Solution Approach 1:
The patent replaces complex manual analysis of electrogram signals with an automated computational system that calculates slopes, identifies annotations, and determines lines of block through algorithmic processing. The system substitutes mechanical/manual interpretation with electronic signal processing, achieving high accuracy in characterizing fibrillation patterns while managing complexity through automated computation rather than manual methods.
3Reliability
If conventional block line identification methods are used, then the process is simpler, but the lines of block and ablation targets cannot be accurately identified
Solution Approach 1:
The patent introduces an intermediary computational layer that processes electrogram signals through multiple analysis stages: slope calculation, annotation detection, relationship establishment among slopes and annotations, and integration with electroanatomic map data. This intermediary processing layer enables accurate identification of block lines and ablation targets by synthesizing information from multiple signal characteristics and spatial locations, overcoming the limitations of direct conventional methods.
Data Source
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AI summary
Cardiac catheterization is performed by recording electrograms from a multi-electrode probe at respective locations in the heart, determining slopes and annotations in the electrograms within time windows, establishing relationships among the slopes and annotations of the electrograms, and determining lines of conduction block in the heart from the relationships.