ECG Depth Mapping for 3D Cardiac Signal Localization
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Solution Overview
Problem
Conventional cardiac mapping systems struggle with far field signals masking local field signals, and existing methods fail to accurately visualize electrical activity beneath the surface of myocardial tissue in three dimensions.
Innovation Solution
A mapping engine that processes electrical signals from multiple electrodes using spatial analysis, linear and non-linear combinations, and neural networks to identify and visualize electrical activity at specific depths within cardiac tissue, reducing far field interference and enhancing spatial resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional computer processing operation is used to analyze electrical activity, then three-dimensional map of heart is generated, but far field signals mask or interfere with local field signals
Solution Approach 1:
The patent segments the electrical activity signals into near field and far field signal components using spatial analysis. By dividing the signal processing into distinct components and applying different processing techniques to each, the system can isolate and enhance local field signals while filtering out far field interference.
Solution Approach 2:
The patent applies local quality by performing spatial analysis that treats different spatial regions differently. The system identifies signals originating from specific depths and locations within cardiac tissue, applying depth-dependent processing to enhance local signal quality while suppressing distant far field signals.
2Measurement precision
If conventional mapping methods are used, then electrical activity is visualized on surface of intracardiac tissue, but electrical conduction beneath the surface in three dimensions cannot be identified
Solution Approach 1:
The patent extends the visualization from two-dimensional surface mapping to three-dimensional depth-resolved mapping. By incorporating depth as an additional dimension and using spatial analysis to resolve signals from different depths, the system recovers electrical conduction information beneath the tissue surface that would be lost in conventional surface-only mapping.
Data Source
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AI summary
Embodiments of methods and systems for determining electrocardiogram (ECG) depth of electrical activity. Electrical activity from a plurality of electrodes of a catheter is received; and within the electrical activity, an electrical signal originating from a depth within cardiac tissue is identified. In some embodiments, spatial electrode signal analysis of the electrical activity may be performed for each electrode of the plurality of electrodes. In some embodiments, a linear and/or non-linear combination of signal components within the electrical activity may be calculated. In some embodiments, a neural network may be provided with the electrical signals and may determine an estimated distance to the nearest activation for at least one of the plurality of electrodes. A visualization of the identified electrical signals at a specified depth within the cardiac tissue may be provided for display.