Myocardial Excitation Determination via Phase Singularity Detection
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Solution Overview
Problem
During atrial fibrillation, the rapid and irregular variations in myocardial excitation dynamics make it difficult for medical professionals to visually determine the type of excitation, which is crucial for accurate ablation treatment, as existing methods rely on visual observation of complex and rapidly changing data.
Innovation Solution
A myocardial excitation determining apparatus that acquires intracardiac electrocardiogram data, processes it to produce pseudo action potential waveforms, interpolates and corrects them to create visualized data, detects phase singularities, and automatically determines the type of excitation dynamics using phase portraits and grid analysis, enabling precise identification of excitation types like Meandering Rotor, Passive Activation, and Multiple Wavelets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual observation of visualized data is used to determine myocardial excitation dynamics, then the method is simple and requires no complex processing, but the determination accuracy is insufficient due to rapid and irregular variations that cannot be visually recognized
Solution Approach 1:
The patent replaces the manual visual observation method with an automated image processing system. The determining section automatically analyzes visualized data to calculate the number of excitation grids and identify excitation types, substituting human visual inspection with computational analysis to achieve higher accuracy in determining rapid myocardial excitation dynamics
Solution Approach 2:
The patent introduces visualized data as an intermediary between the raw intracardiac electrocardiogram signals and the final excitation type determination. The processing section transforms complex electrical signals into visualized representations showing excitation states, which then serve as the basis for automated analysis by the determining section
2Productivity
If visual observation is used to determine excitation dynamics, then no additional processing is needed, but the determination speed is insufficient for rapidly varying conditions
Solution Approach 1:
The patent replaces slow manual visual determination with automated image processing and analysis algorithms. The determining section rapidly processes visualized data to calculate excitation grid counts and identify patterns, significantly accelerating the determination speed compared to human visual inspection of rapidly changing myocardial excitation
3Measurement precision
If complex processing is applied to improve determination accuracy, then measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent divides the determination process into distinct functional sections: an acquiring section for collecting intracardiac electrocardiogram signals, a processing section for generating visualized data, and a determining section for analyzing the visualized data. This segmentation allows each component to perform its specific function efficiently, improving overall accuracy while managing system complexity through modular design
Solution Approach 2:
The determining section serves multiple functions: it calculates the number of excitation grids, identifies different excitation types (such as meandering rotor, passive activation, multiple wavelets), and provides diagnostic information. This multi-functionality achieves comprehensive determination accuracy without requiring separate specialized devices for each analysis task
Data Source
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Figure 2C
AI summary
A myocardial excitation determining apparatus which can support the determination of excitation dynamics of the myocardium during atrial fibrillation is provided. A myocardial excitation determining apparatus has: an acquiring section 2 which acquires an intracardiac electrocardiogram of a subject; a processing section 3 which computes to produce visualized data indicating a state of excitation in the myocardium, based on the intracardiac electrocardiogram; and a determining section 4 which determines the type of excitation dynamics of the myocardium based on the visualized data.