Morphology Recurrence Analysis for the Characterization of Atrial Fibrillation Electrograms

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

• Jeffrey Goldberger et al, Electrogram Morphology Recurrence Patterns during Atrial Fibrillation, Heart Rhythm, 2014 Aug 5

IP STATUS

Issued US Patent 10,524,679