Cardiac Mapping Beat Synchronization and Template Selection
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Solution Overview
Problem
Current cardiac mapping techniques face challenges in synchronizing and integrating measurements taken over multiple heart beats, especially when using multiple catheter locations, which affects the accuracy and quality of the cardiac map generated.
Innovation Solution
A method and system that aligns and synchronizes signals from multiple catheter positions using a template mechanism, selecting only beats with similar characteristics, and applying a transformation function to relate signals to physiological information at the endocardium surface, enabling the generation of accurate and coherent physiological maps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If measurements are taken over multiple heart beats at multiple catheter locations, then the quantity and coverage of data increases, but synchronization accuracy and data coherence deteriorate
Solution Approach 1:
The system performs preliminary beat classification and template matching before integrating measurements. By pre-categorizing beats based on their characteristics and selecting only compatible beats for integration, the system ensures synchronization accuracy is maintained while still accumulating sufficient measurement data across multiple heart beats and catheter locations.
Solution Approach 2:
The measurement data is segmented into distinct beat groups based on classification criteria. Each segment contains measurements from beats with similar characteristics, allowing the system to process and integrate data within homogeneous groups while excluding incompatible beats, thereby maintaining synchronization precision across the overall dataset.
2Loss of information
If all measured signals are integrated, then the completeness of cardiac map is improved, but data quality and coherence deteriorate due to including dissimilar beats
Solution Approach 1:
The system applies partial action by selectively integrating only those beats that meet classification criteria rather than all available measurements. By using threshold-based filtering and template matching, the system includes sufficient beats to maintain map completeness while excluding dissimilar beats that would compromise data coherence and reliability.
Solution Approach 2:
The system uses feedback mechanisms where beat classification results inform the integration process. Measurements are continuously evaluated against templates and classification criteria, with feedback loops that adjust which beats are included in the final cardiac map, ensuring both completeness and coherence are maintained through iterative selection.
3Reliability
If beat selection criteria are applied, then data coherence is improved, but the complexity of signal processing increases
Solution Approach 1:
Beat selection criteria are applied in advance through automated classification algorithms that pre-sort measurements into compatible groups. By performing template matching and beat categorization before integration, the system maintains data coherence without requiring complex real-time processing during map generation, thus managing processing complexity effectively.
4Measurement precision
If manual beat alignment is performed, then synchronization accuracy is improved, but processing time and operational complexity increase
Solution Approach 1:
The system performs automated beat alignment and classification using self-service algorithms that automatically match beats to templates and determine synchronization offsets without manual intervention. This automated approach maintains high synchronization accuracy while dramatically reducing processing time and operational complexity compared to manual alignment methods.
Data Source
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AI summary
This invention relates to the determination and/or representation of physiological information relating to a heart surface. An exemplary method includes inserting a catheter into a heart cavity, the catheter comprising one or more electrodes and moving the catheter to each of multiple, different positions in the heart cavity. The method also includes, for each catheter positions, concurrently measuring signals at the catheter electrodes in response to electrical activity in the heart cavity and collecting a plurality of additional data signals. The method also includes defining a template set comprising additional data signals collected during an exemplary beat of interest, computing criteria for the additional data signals based on a comparison of the additional data signals and the template set, and synchronizing the signals measured at the different catheter positions with one another according to a heart beat cycle by calculating a single synchronization offset based on the computed criteria.