ECG Signal Correlation for Catheter Ablation ROI Identification
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Solution Overview
Problem
Conventional methods for determining areas to be ablated in catheter ablation procedures are time-consuming and rely heavily on expert medical personnel due to the difficulty in visually identifying ECG signals associated with a region of interest (ROI) because of visual overlap between proximal and distal electrodes.
Innovation Solution
A system that correlates dynamic activation maps with ECG signals to efficiently display only those signals corresponding to an identified ROI, reducing the number of displayed signals and facilitating the identification of potential sources of activation by utilizing parameters like cycle, earliness, R-S complex, conduction velocity, block, and fractionation of IC ECG signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all ECG signals from multiple electrodes are displayed simultaneously, then complete electrical signal data is available, but visual identification of ROI-associated signals becomes difficult due to overlap
Solution Approach 1:
The patent segments the complete set of ECG signals by spatial location, separating signals from electrodes within the ROI from those outside the ROI. The system divides the display into distinct regions: a map view showing electrode locations and a signals view displaying only ROI-associated ECG traces. This segmentation resolves the contradiction by maintaining data completeness while eliminating visual overlap through spatial-based signal grouping and selective display.
Solution Approach 2:
The system extracts and isolates ECG signals specifically associated with the ROI from the complete set of multi-electrode signals. By identifying which electrodes are located within the user-defined ROI boundaries and extracting only those signals for display in the signals view, the system removes the distracting overlap of unrelated signals while preserving all underlying data for potential review.
2Measurement precision
If expert medical personnel manually identify ROI-associated ECG signals, then accurate identification is achieved, but the process becomes time-consuming
Solution Approach 1:
The system performs preliminary automated identification of ROI-associated ECG signals by calculating which electrodes fall within the user-defined ROI boundaries before the user needs to review signals. The processor automatically determines signal-electrode associations based on spatial coordinates and ROI geometry, preparing the filtered signal list in advance. This preliminary computational action maintains expert-level accuracy while eliminating the manual time investment.
Solution Approach 2:
The system enables self-service automated signal identification where the processor independently determines which ECG signals correspond to ROI electrodes without requiring manual expert analysis. The automated algorithm calculates electrode-ROI associations using spatial coordinates and geometric relationships, providing expert-level identification accuracy while significantly reducing procedure time.
Data Source
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AI summary
An ECG signal correlation and display system is provided which includes memory configured to store ECG data corresponding to electrical signals, acquired over time, from different areas of a heart and location data corresponding to acquired location signals indicating locations of the different areas of the heart from which the electrical signals are acquired. The system also includes a processing device configured to generate, from the ECG data and the location data, mapping information for displaying a map of the heart and determine a location of an anatomical region of the heart on the map. The processing device is also configured to determine which of the plurality of electrical signals are acquired from the anatomical region of the heart and generate correlated ECG signal information for displaying the electrical signals determined to be acquired from the anatomical region of the heart.