Cardiac Activation Histogram Split Metric Identification
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Solution Overview
Problem
Conventional cardiac mapping systems face challenges in accurately and efficiently interpreting large volumes of intracardiac electrograms, often resulting in misleading maps due to electrical artifacts and complex data processing, which increases examination time and costs.
Innovation Solution
A system and method that processes sensed cardiac electrical signals to generate activation histograms, identifies regions with split metrics indicating two peaks separated by a trough within a single cycle, and highlights these regions on an electroanatomical map, allowing for more accurate and efficient interpretation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional mapping systems extract scalar values from each EGM to construct voltage or activation maps, then the need to inspect captured EGMs is reduced, but the maps may become misleading due to electrical artifacts or inappropriate selection of features
Solution Approach 1:
The patent uses color-coded histograms to represent activation patterns at each map location. Different colors indicate different histogram shapes (e.g., unimodal vs. bimodal distributions), allowing clinicians to quickly identify regions with split activations or conduction blocks without manually inspecting individual EGMs. This visual encoding preserves diagnostic accuracy while reducing examination time.
Solution Approach 2:
Instead of displaying only scalar values (2D maps), the patent introduces histograms as an additional dimension of information representation. Each map location contains a histogram showing the distribution of activation times across multiple EGMs, providing richer diagnostic information without requiring manual EGM inspection.
2Quantity of substance
If approximately 6,000 to 20,000 intracardiac electrograms are captured during automatic electro-anatomical mapping, then comprehensive electrical activity data is obtained, but manual inspection of full EGMs becomes impractical
Solution Approach 1:
The system extracts key features from each EGM (activation times, amplitudes, durations) and aggregates them into histograms at each map location. This extraction process condenses thousands of EGMs into manageable visual representations while preserving the essential diagnostic information about electrical activity patterns.
Solution Approach 2:
Instead of displaying actual EGM waveforms, the patent creates histogram copies that represent the statistical distribution of activation parameters. These histograms serve as simplified representations that convey the same diagnostic information in a visually manageable format.
3Productivity
If conventional techniques process complex electrical signals to generate cardiac maps, then overall patterns of activity are depicted, but the maps are often not suitable for accurate and efficient interpretation
Solution Approach 1:
The patent applies different visual representations to different map locations based on local characteristics. Histograms with distinct shapes (unimodal, bimodal, multimodal) are displayed at locations where they provide diagnostic value, allowing efficient identification of abnormal activation patterns while preserving locally relevant information.
Data Source
AI summary
Systems and methods for facilitating display of cardiac information based on sensed electrical signals include a processing unit configured to receive a set of electrical signals; receive an indication of a measurement location corresponding to each electrical signal of the set of electrical signals; and generate an activation histogram corresponding to the set of electrical signals. Systems and methods disclosed herein may be configured to automatically identify activation histograms exhibiting split characteristics, and to facilitate presentation, on a display device, of a cardiac map including highlighted regions corresponding to the identified activation histograms.