Automated Pulmonary Vein Isolation Detection
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Solution Overview
Problem
The interpretation of electrogram data to determine electrical isolation between the pulmonary vein and the left atrium is challenging and time-consuming, often requiring indirect methods that may lead to unnecessary or ineffective treatment.
Innovation Solution
An automated analysis method and device that classify electrocardiogram waveforms to distinguish between pulmonary vein potentials and far field potentials, allowing for direct inference of electrical isolation without the need for exogenous pacing signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual assessment of electrogram data is performed to verify electrical isolation, then the accuracy of isolation verification is improved, but the time required for assessment increases significantly
Solution Approach 1:
The system performs automated analysis of electrogram data using pre-stored morphology information to independently determine electrical isolation status, eliminating the need for time-consuming manual visual assessment by electrophysiologists while maintaining high accuracy
Solution Approach 2:
Morphology information from previously recorded electrogram data is pre-stored and prepared in advance, allowing the system to quickly compare current electrogram data against reference patterns during the procedure, significantly reducing assessment time without sacrificing precision
2Productivity
If indirect imaging methods are used to evaluate electrical isolation, then the evaluation efficiency is improved, but the measurement precision deteriorates due to uncertainty in inferring isolation condition
Solution Approach 1:
The system replaces indirect mechanical imaging methods with direct electrical signal analysis, using automated morphology comparison of electrogram data to directly assess electrical isolation status, thereby maintaining high evaluation efficiency while improving measurement precision by eliminating inference uncertainty
Solution Approach 2:
The system creates and stores reference copies of electrogram morphology patterns from known isolated and non-isolated states, enabling direct comparison with current data to accurately determine isolation status without relying on indirect imaging inference
3Productivity
If automated analysis algorithm is implemented, then the productivity of isolation verification is improved, but the device complexity increases
Solution Approach 1:
Morphology information is pre-recorded and stored during separate calibration phases before the actual ablation procedure, allowing the automated analysis algorithm to operate efficiently during treatment by simply comparing current data against pre-established reference patterns, thereby improving verification speed while managing algorithmic complexity through preprocessing
Data Source
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AI summary
A device for analyzing electrophysiological data is disclosed. The device generates a signal indicative for a presence of a pulmonary vein potential component using processing means adapted for performing a stepwise analysis of the electrophysiological data. A corresponding method and computer application for installing on a device are also described.