Cardiac Mapping Boundary Surface and Label Electrode
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Solution Overview
Problem
Current cardiac mapping technologies face challenges in generating high-quality, dense, and rapid cardiac geometries and electrophysiology maps, particularly due to the risk of a multi-electrode catheter inadvertently moving out of the region of interest during procedures, such as when mapping the left atrium.
Innovation Solution
An electroanatomical mapping system that defines a boundary surface to separate anatomical regions of interest and exclusion, using a label electrode to determine when electrophysiology data points are collected within the correct region, and outputs alerts when the catheter exits the region of interest, ensuring accurate data inclusion in the map.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a multi-electrode catheter is used to gather data points for cardiac mapping, then the density and quality of the map improve, but the risk of the catheter moving into regions outside the region of interest increases
Solution Approach 1:
The system continuously monitors the position of the catheter relative to the defined boundary surface and provides real-time feedback through alerts when the catheter approaches or crosses the boundary. This allows the operator to maintain the catheter within the region of interest while still utilizing the full capability of the multi-electrode catheter for high-density mapping.
Solution Approach 2:
A computational boundary surface model serves as an intermediary between the physical catheter and the mapping process. This virtual boundary defines the region of interest and automatically filters data points, allowing the catheter to move freely while only accepting valid data from within the designated anatomical region.
2Ease of operation
If the catheter moves freely during the procedure, then the ease of operation improves, but the risk of collecting data from incorrect anatomical regions increases
Solution Approach 1:
The system automatically determines whether each collected data point is within the region of interest by comparing its position to the boundary surface model. This self-filtering mechanism eliminates the need for manual verification of each data point's anatomical location, maintaining ease of operation while ensuring measurement precision.
Solution Approach 2:
Real-time position monitoring and alerting provide continuous feedback to the operator about catheter location relative to the boundary, enabling free movement while maintaining awareness and precision of data collection locations.
3Productivity
If all collected data points are added to the map, then the productivity improves, but the inclusion of data from outside the region of interest increases errors
Solution Approach 1:
The system automatically filters data points based on their position relative to the boundary surface without requiring manual review. This self-filtering process maintains high productivity by accepting all valid data points while automatically rejecting those from outside the region of interest, thus preserving map accuracy.
Solution Approach 2:
The system extracts only the relevant subset of data points that fall within the defined region of interest, separating valid anatomical data from invalid data automatically. This extraction process maintains productivity by processing data in real-time while ensuring accuracy by including only appropriate data points.
Data Source
AI summary
A method of generating a map of a portion of a patient's anatomy using an electroanatomical mapping system includes separating an anatomical region (e.g., the heart) into an inclusion region (e.g., the left atrium) and an exclusion region (e.g., the left ventricle) by defining a boundary surface (e.g., along the mitral valve). A label electrode carried by a multi-electrode catheter can be defined and used to determine whether or not to add an electrophysiology data point collected using the multi-electrode catheter to the map. In particular, electrophysiology data points can be added to the map of the portion of the patient's anatomy when they are collected with the label electrode within the inclusion region. Positions of the label electrode can also be used to define the boundary surface. Alerts can also be provided when the label electrode crosses the boundary surface and enters the exclusion region.