Cardiac Activation Waveform Generation for Electrogram Analysis
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Solution Overview
Problem
Conventional cardiac mapping systems face challenges in efficiently interpreting large volumes of cardiac electrical signals, often resulting in misleading maps due to electrical artifacts and the complex nature of the data, which increases examination time and cost.
Innovation Solution
A system and method that process cardiac electrical signals to identify deflections from a signal baseline, generate activation waveforms, and suppress far-field signal components, facilitating the creation of accurate cardiac maps through spatiotemporal consistency evaluation and annotation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional mapping systems capture and manually inspect electrograms to construct voltage or activation maps, then diagnostic information can be obtained, but examination time and cost increase significantly due to the large volume of data (6,000 to 20,000 intracardiac electrograms)
Solution Approach 1:
The patent extracts and processes individual electrogram signals to generate activation waveforms, separating the essential activation information from the large volume of raw electrogram data. This extraction approach allows automatic processing of thousands of electrograms without requiring manual inspection of each signal, thereby reducing examination time while preserving diagnostic accuracy.
Solution Approach 2:
The patent introduces activation waveforms as an intermediary representation between raw electrograms and final diagnostic maps. These waveforms automatically process and summarize activation timing information, serving as a mediator that enables efficient automated analysis without losing critical diagnostic details, thus resolving the contradiction between comprehensive data analysis and examination time.
2Productivity
If conventional techniques construct voltage or activation maps from electrograms, then overall patterns of cardiac activity can be depicted, but the complex and useful information in the original electrograms is condensed and potentially lost
Solution Approach 1:
The patent segments the complex electrogram data into distinct activation waveforms for each sensed signal, maintaining the individual characteristics of each electrogram while enabling systematic processing. This segmentation preserves the unique information in each signal while organizing it in a manageable format that prevents information loss during automated analysis.
Solution Approach 2:
The patent transforms electrogram data from a complex time-domain representation into activation waveforms that add a temporal dimension to the analysis. This dimensional transformation preserves the essential activation timing information while creating a new representation that is more suitable for automated processing and diagnostic interpretation without condensing away critical details.
3Reliability
If conventional mapping systems rely on visual inspection of captured electrograms by clinicians, then diagnostic assessment can be performed, but the process becomes inefficient and costly due to the complexity and volume of data
Solution Approach 1:
The patent enables the system to automatically process and analyze electrogram data without requiring manual visual inspection by clinicians. The activation waveform generation and automatic map construction allow the system to serve itself in analyzing the complex data, maintaining diagnostic reliability through automated algorithms while dramatically improving processing speed and reducing costs associated with manual review.
Data Source
AI summary
Systems and methods for processing cardiac information include a processing unit configured to receive a set of cardiac electrical signals; receive an indication of a measurement location corresponding to each of the set of electrical signals; and identify, for each electrical signal of the set of electrical signals, a deflection. The deflection includes a deviation from a signal baseline. An activation waveform corresponding to the set of electrical signals is generated based on the identified deflections.