Electroanatomical Mapping With Multi-Heartbeat Signal Synchronization
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Solution Overview
Problem
Existing cardiac mapping methodologies rely heavily on manual operator inputs, leading to slow mapping processes, inconsistent results, and limited map accuracy due to the fast pace of data collection and operator-dependent analysis.
Innovation Solution
An automated system for electroanatomical mapping that integrates data from multiple heartbeats, applies algorithms to synchronize and select relevant signals, and generates electroanatomical representations using synchronized signals and positions, incorporating beat metrics to ensure data quality and consistency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated data aggregation from multiple heartbeats is implemented, then mapping speed and resolution are improved, but system complexity increases
Solution Approach 1:
The patent segments the cardiac cycle into discrete beats and further segments data acquisition into multiple heartbeats. By dividing the mapping process into beat-by-beat segments and processing them individually through synchronization algorithms, the system achieves high-speed mapping without requiring monolithic complex processing, thus resolving the contradiction between productivity and device complexity.
Solution Approach 2:
The system performs preliminary actions by pre-synchronizing signals from multiple heartbeats before final map generation. Beat metrics are calculated in advance, and signals are aligned to a reference beat beforehand, allowing the main processing to focus on integration rather than real-time synchronization, thereby improving mapping speed while managing system complexity.
2Extent of automation
If automated algorithms are used for signal synchronization and map generation, then operator dependency is reduced, but computational requirements increase
Solution Approach 1:
The patent extracts and isolates specific signal features (beat metrics, triggering events, synchronization points) from the raw multi-beat data. By extracting only the essential synchronization parameters and discarding redundant information early in the processing pipeline, the system reduces the computational energy required for subsequent automated map generation while maintaining high automation levels.
Solution Approach 2:
The system changes parameters by transforming raw electrical signals into standardized beat metrics and synchronization parameters. This parameter transformation allows automated algorithms to work with simplified representations rather than raw data, reducing computational energy requirements while maintaining high automation for signal synchronization and map generation.
3Productivity
If data is collected at fast pace to improve mapping speed, then procedural time is reduced, but measurement accuracy decreases
Solution Approach 1:
The patent implements continuous data collection across multiple heartbeats without interruption, maintaining a continuous stream of electrical signal measurements. This continuous action ensures that no critical measurement events are missed despite fast-paced acquisition, preserving measurement precision while enabling rapid overall mapping through parallel processing of multiple beats.
Solution Approach 2:
The system employs feedback mechanisms by calculating beat metrics from each acquired heartbeat and using these metrics to adjust and refine subsequent signal synchronization and processing. This feedback loop ensures that even fast-collected data is accurately processed and integrated, maintaining map accuracy while achieving high mapping speed through efficient iterative refinement.
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. In some aspects, a method for providing information about a patient's heart includes measuring signals from one or more electrodes at multiple positions in the heart cavity in response to electrical activity in the patient's heart cavity over multiple heart beat cycles. The method also includes generating the electroanatomical representation of a patient's heart based on the signals measured at the electrodes and information about the positions of the electrodes. The method also includes generating, by a computer, annotation information for the measured signals by applying one or more operators to the measured signals. The method also includes conveying at least some of the annotation information to a user.