Morphology Recurrence Analysis for the Characterization of Atrial Fibrillation Electrograms
Web Published:
10/21/2025
INVENTORS
- Jeffrey Goldberger*
- David Gordon
- Jason Ng
SHORT DESCRIPTION
This technique uses modified recurrence analysis on electrogram data to identify patient-specific arrhythmia drivers. It supports precise, tailored ablation mapping for atrial fibrillation.
BACKGROUND
Traditional atrial fibrillation mapping struggles with dynamic, variable electrogram morphologies and inconsistent cycle lengths. Existing ablation techniques often rely on anatomical targets, which may not capture all arrhythmia drivers. This gap leads to moderate success rates and highlights a significant clinical need for more reliable, patient-specific mapping methods.
ABSTRACT
The invention applies a modified recurrence plot analysis to sequential electrogram recordings. It identifies repetitive patterns and short cycle lengths that correlate with reentrant or focal AF drivers. The approach processes standard catheter data to improve mapping resolution and driver identification. Initial lab tests demonstrate its ability to discern potential arrhythmia sources, suggesting a considerable advancement over current methods.
MARKET OPPORTUNITY
The global market for atrial fibrillation treatment devices was valued at approximately $8.2 billion in 2024 and is projected to grow at a CAGR of over 13.5% through 2032 (Source: Global Market Insights, 2024).
DEVELOPMENT STAGE
TRL 4 - Prototype Validated in Lab: Key functions have been demonstrated using laboratory-scale electrogram recordings, confirming the analytical proof-of-concept.
APPLICATIONS
- Electrogram-guided ablation for atrial fibrillation: Enhances the precision of AF driver localization.
- Mapping system enhancement: Improves spatial resolution using sequential recording techniques.
ADVANTAGES
- Patient-specific mapping: Enables tailored ablation strategies for improved outcomes.
- Enhanced spatial resolution: Uses standard catheters to achieve detailed electrogram maps.
- Improved driver identification: Detects areas with high recurrence rates correlating with arrhythmia sources.
- Versatile recording input: Supports sequential data acquisition for comprehensive mapping coverage.
PUBLICATIONS
IP STATUS
Issued US Patent 10,524,679
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Categories:
Life Sciences > Healthcare Devices, Tools & IT
Keywords:
Analysis
Biomedical
Cardiology and Cardiovascular disease
Computer software
Devices
Electrophysiology
Health IT
Medical device