Spatial Correlation Maps for Cardiac Substrate Mapping
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Solution Overview
Problem
Current methods for locating and treating cardiac arrhythmias, such as ventricular tachycardia and atrial fibrillation, face challenges in accurately identifying the source of arrhythmias due to complex electrogram signals and the need for trial-and-error approaches, often requiring separate mapping and ablation devices.
Innovation Solution
A method and system for creating spatial correlation maps between neighboring unipolar electrograms to identify arrhythmogenic cardiac tissue, using a base electrode and multiple electrodes to record and compare electrogram signals, determining similarities, and mapping specific areas for targeted ablation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If separate mapping and ablation devices are used to identify and treat arrhythmia sites, then the ability to locate arrhythmia sources is improved, but the procedure complexity and time required are increased
Solution Approach 1:
The patent combines mapping and ablation functions into a single integrated catheter system. The catheter includes both recording electrodes for creating spatial correlation maps and ablation electrodes that can deliver therapeutic energy to identified arrhythmia sites, eliminating the need for separate mapping and ablation procedures.
Solution Approach 2:
The catheter is designed with multi-functionality, serving both as a mapping device that records electrogram signals and creates spatial correlation maps, and as an ablation device that can deliver radiofrequency or cryoablation energy to treat identified arrhythmia substrates within the same procedural platform.
2Reliability
If trial and error ablation approaches are used to treat arrhythmias, then treatment coverage is increased, but the time and resources required are substantially increased
Solution Approach 1:
The system performs preliminary mapping using spatial correlation maps to identify arrhythmia substrates and optimal ablation targets before delivering ablation energy. This preliminary identification phase allows for targeted ablation rather than trial-and-error approaches, reducing overall procedure time while maintaining treatment effectiveness.
Solution Approach 2:
The system provides real-time feedback through spatial correlation map visualization, allowing operators to monitor electrogram signal correlations across multiple electrodes and identify regions of abnormal electrical activity. This feedback mechanism guides precise ablation delivery to confirmed target sites, eliminating random or trial-based ablation attempts.
3Loss of information
If complex electrogram signals with multiple deflections are analyzed to identify arrhythmia targets, then comprehensive tissue assessment is achieved, but the accuracy of real-time target determination is reduced
Solution Approach 1:
The system transforms the complex temporal electrogram signals into spatial correlation parameters by comparing signals across multiple electrodes simultaneously. This parameter transformation converts difficult-to-interpret waveform morphology into quantitative correlation coefficients that clearly indicate abnormal tissue regions, improving real-time target identification accuracy.
Solution Approach 2:
The system replaces manual visual analysis of complex electrogram waveforms with automated computational algorithms that calculate spatial correlation coefficients. This substitution of manual interpretation with automated processing eliminates human error and provides objective, real-time identification of arrhythmia targets despite signal complexity.
Data Source
AI summary
A base cardiac electrogram signal at a base electrode is recorded for a predetermined amount of time. A plurality of cardiac electrogram signals at a plurality of electrodes other than the base electrode are recorded for the predetermined amount of time. The base cardiac electrogram signal is compared with each of the plurality of cardiac electrogram signals. The similarities between the base cardiac electrogram signal and each of the plurality of cardiac electrogram signals is determined. A specific area of cardiac tissue where the base electrode is positioned is mapped based at least in part on the determined similarities.