Cardiac Electrode Mapping Using Granger Causality for Driver Detection
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Solution Overview
Problem
Current methods for identifying driver regions of atrial and ventricular fibrillation using clinical electrophysiology catheters are limited by low resolution and low coverage, leading to inaccurate identification of critical areas for ablation therapy.
Innovation Solution
A cardiac monitoring system using a catheter with multiple electrodes that applies Granger causality analysis to identify driver regions by measuring the interdependence of electrical signals, employing tools like frequency dominance index (FDI) and causality pairing index (CPI) to analyze electrode signals and generate causality maps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional mapping catheters with limited contact points are used, then the device complexity is reduced and ease of operation is improved, but the measurement precision and coverage of electrical activity mapping deteriorate
Solution Approach 1:
The patent transitions from sequential 1D mapping along catheter contact points to simultaneous 2D/3D spatial mapping using an array of electrodes distributed across the catheter surface. This dimensional expansion allows multiple measurement locations to capture electrical activity across the entire heart chamber surface concurrently, dramatically improving resolution without proportionally increasing device complexity.
Solution Approach 2:
The catheter design integrates multiple functions into a single device: electrical signal acquisition from numerous electrodes, real-time spatial localization of each electrode, simultaneous processing of multiple signals, and dynamic reconstruction of activation patterns. This multi-functionality enables high-resolution mapping without requiring multiple separate catheters or complex procedural steps.
2Loss of information
If sequential recording from different regions is performed to build a global picture, then the device complexity is reduced, but the loss of time and inability to capture continuously changing electrical activity deteriorates
Solution Approach 1:
The system maintains continuous recording of electrical activity across all electrode locations simultaneously, eliminating the stop-and-go nature of sequential mapping. All electrodes capture signals in real-time throughout the arrhythmia event, ensuring no information is lost during transitions between regions and providing an unbroken temporal record of the evolving electrical patterns.
Solution Approach 2:
The catheter is pre-configured with a known spatial arrangement of electrodes and their positions are predetermined before insertion. This preliminary positioning allows the system to immediately begin simultaneous multi-point recording upon deployment, eliminating the time required for sequential navigation and positioning during the procedure.
3Area of stationary object
If data from multiple catheters or regions are stitched together, then the area of coverage is improved, but the manufacturing precision and accuracy of identifying driver regions deteriorates due to alignment errors
Solution Approach 1:
The patent merges all electrode signals and their spatial positions into a single unified coordinate system that represents the entire heart chamber surface. By combining multiple electrode arrays on one catheter and mapping them to a common anatomical reference frame, the system eliminates the alignment errors inherent in stitching separate catheter datasets, providing accurate spatial localization of driver regions across the full coverage area.
4Measurement precision
If low resolution data with limited coverage is used, then the device complexity and cost are reduced, but the ability to accurately identify organized driver regions from disorganized activity deteriorates
Solution Approach 1:
The mapping approach segments the heart chamber surface into multiple discrete electrode measurement locations distributed across the catheter. This segmentation allows the system to capture electrical activity at numerous specific points simultaneously, providing sufficient data density to identify organized rotational patterns and driver regions even when overall coverage appears limited, as each segmented location contributes to the global picture.
Data Source
AI summary
Apparatus for monitoring activation in a heart comprises a probe (100), a plurality of electrodes (102) supported at respective electrode positions on the probe and each arranged to contact a respective detection position on the heart. Each of the electrodes (102) is arranged to detect electrical potential at the respective detection position during movement of a series of activation wavefronts across the heart and to produce a respective electrode signal. Processing means is arranged to analyse the electrode signals to: identify pairs of the electrode signals between which there is a degree of Granger causality; define a causality vector between the electrode positions of each of the pairs of electrodes; identify a potential driver location; and analyse the direction of a plurality of the causality vectors around the potential driver position to generate an indicator of the presence of a driver at the potential driver location.