Automated EGM Duration Mapping for Brugada Syndrome Ablation
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Solution Overview
Problem
Current methods for treating Brugada syndrome are inadequate in accurately analyzing electrocardiography (ECG) signals to eliminate the condition, as they rely on manual measurements and lack efficient automation for identifying ablation points, leading to incomplete or ineffective ablation procedures.
Innovation Solution
A system and method that automatically measures and annotates ventricular electrogram (EGM) durations to create a potential duration map (PDM), enabling the identification of abnormal substrate areas for targeted epicardial ablation, using a computer program to define a Window of Interest, calculate potential durations, and select ablation points based on minimum standard deviation, thereby streamlining the process and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurements are used to analyze ECG signals, then the process is simple to implement, but the accuracy and efficiency of identifying ablation points deteriorates
Solution Approach 1:
The patent replaces manual mechanical measurement methods with an automated computer-based system that processes ECG signals electronically. The system uses algorithms to automatically detect QRS complexes, measure intervals, and identify ablation points, substituting human manual analysis with automated computational methods that provide higher precision and efficiency.
Solution Approach 2:
The automated system performs self-service by automatically analyzing ECG signals, measuring intervals, and identifying ablation points without requiring continuous manual intervention. The computer program independently executes the measurement and analysis tasks, making the system self-sufficient in identifying treatment targets.
2Productivity
If automated measurement system is implemented, then the efficiency and accuracy of ablation point identification improves, but the device complexity increases
Solution Approach 1:
The computer-based system performs multiple functions including signal acquisition, QRS complex detection, interval measurement, and ablation point identification within a single integrated platform. This multi-functionality increases productivity by consolidating multiple analytical tasks into one automated system, though it does increase device complexity.
Solution Approach 2:
The system automatically adjusts measurement parameters such as filtering settings, detection thresholds, and measurement windows to optimize the analysis of different ECG signals. This adaptability improves efficiency across various patient conditions while managing system complexity through automated parameter optimization.
3Reliability
If comprehensive ECG signal analysis is performed, then the reliability of treatment planning improves, but the time required for analysis increases
Solution Approach 1:
The system performs preliminary analysis of ECG signals by automatically detecting QRS complexes and measuring intervals in real-time during signal acquisition. This preliminary action prepares the data for treatment planning without requiring separate time-consuming analysis steps, thereby maintaining high reliability while reducing total analysis time.
Solution Approach 2:
The automated measurement system operates continuously throughout the ECG signal acquisition process, constantly analyzing incoming data and updating measurements without interruption. This continuous analysis ensures reliable treatment planning information is available throughout the procedure while minimizing idle time and overall analysis duration.
Data Source
AI summary
A system and method for Brugada syndrome epicardial ablation comprising preparing an endocardial duration map; preparing a baseline epicardial duration map comprising at least one or more areas of delimination; and when some of the areas of delimination are greater than 200 ms, performing epicardial ablation of the areas of delimination greater than 200 ms. The method may further comprise preparing an updated epicardial duration map after performing epicardial ablation, and determining whether or not a BrS pattern appears in the updated epicardial duration map; and when the BrS pattern appears, performing epicardial ablation. The method may further comprise preparing an updated epicardial duration map after performing epicardial ablation, and determining whether or not an abnormal EGM exists in the updated epicardial duration map; and when the abnormal EGM exists, performing epicardial ablation. The method may further comprise preparing an updated epicardial map comprising maintaining anatomical volume data and adding electroanatomical data.