Electrographic Flow Mapping for Cardiac Rhythm Disorder Localization
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Solution Overview
Problem
Current diagnostic tools for cardiac rhythm disorders, such as atrial fibrillation, lack precision in determining the source and location of AF drivers, leading to inadequate cardiac ablation procedures and reduced therapeutic success.
Innovation Solution
A system and method utilizing a computing device to process intracardiac electrophysiological mapping signals from a plurality of electrodes, applying a modified multi-frame Horn-Schunck algorithm to generate spatial maps that reveal the location of active or passive rotors, breakthrough points, and focal points within the heart, enhancing spatial and temporal resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional diagnostic tools are used for cardiac rhythm disorders, then the diagnostic process is simple, but the precision in determining the source and location of AF drivers is insufficient
Solution Approach 1:
The diagnostic system segments the cardiac mapping into multiple spatial zones using electrographic flow data, allowing precise localization of AF drivers by dividing the complex cardiac structure into analyzable regions. This segmentation enables the system to identify specific source locations and propagation paths without requiring a single overly complex diagnostic tool.
Solution Approach 2:
The system transitions from conventional two-dimensional electrogram analysis to three-dimensional electrographic flow mapping, adding a spatial dimension to the diagnostic process. This dimensional enhancement allows precise determination of driver locations and wavefront propagation in space, resolving the contradiction between measurement precision and device complexity by providing superior accuracy through enhanced dimensionality rather than increased instrumental complexity.
2Manufacturing precision
If conventional mapping methods are used, then the procedure is less complex, but the spatial and temporal resolution is inadequate for accurate ablation guidance
Solution Approach 1:
The system provides continuous real-time electrographic flow mapping during the ablation procedure, maintaining uninterrupted spatial and temporal resolution. This continuous monitoring allows dynamic tracking of AF driver locations and wavefront propagation, ensuring high precision throughout the procedure without requiring repeated discrete measurements that would increase procedural complexity.
Solution Approach 2:
The mapping system dynamically adapts to changing cardiac electrical activity during the procedure, automatically adjusting to capture evolving driver locations and propagation patterns. This dynamic capability maintains high spatial and temporal resolution without requiring manual reconfiguration of the mapping system, resolving the contradiction between precision and complexity.
3Measurement precision
If detailed electrographic flow mapping is performed, then the localization accuracy of cardiac rhythm disorder sources is improved, but the processing time and computational complexity increase
Solution Approach 1:
The system performs preliminary processing of electrogram signals by pre-calculating electrographic flow parameters and organizing spatial-temporal data structures before actual driver localization is required. This preliminary organization of data accelerates the subsequent analysis phase, allowing high-precision localization without proportionally increasing total processing time.
Solution Approach 2:
The system replaces traditional mechanical signal analysis methods with computational algorithms that efficiently process electrographic flow data. This substitution of computational approaches for conventional analysis techniques enables high-precision localization while reducing processing time through optimized data algorithms.
Data Source
AI summary
Disclosed are various examples and embodiments of systems, devices, components and methods configured to estimate the action potential wave propagation in a patient's heart, and subsequently to detect at least one location or type of at least one source of, or rotational phenomenon associated with, at least one cardiac rhythm disorder using intracardiac electrodes and a modified multi-frame Horn-Schunck algorithm to generate a map corresponding to a spatial map, the map being configured to reveal on a monitor or display to a user the at least one location of the at least one source of the at least one cardiac rhythm disorder.