Electrogram Processing for Cardiac Rhythm Disorder Source Detection

The patent segments the analysis of electrogram signals by separating the detection of circular patterns from the analysis of wavefront propagation characteristics. This allows the system to first identify potential rotor locations using standard basket catheter data, then apply additional analytical layers (phase singularity detection, wavefront curvature analysis) to determine active versus passive rotors, thereby improving precision without requiring a completely new device

The patent adds temporal and spatial dimensionality to the analysis by examining wavefront propagation characteristics over time and across multiple electrodes. By analyzing the propagation of wavefronts through the atrial tissue in multiple dimensions, the system can distinguish active rotors (which generate circular wavefronts) from passive rotors (which merely reflect turbulence), thereby improving measurement precision using extended analysis of existing signal data

The patent applies preliminary diagnostic action by thoroughly characterizing AF drivers before ablation using electrogram analysis and wavefront propagation detection. The system identifies and classifies active rotors versus passive rotors prior to the ablation procedure, allowing clinicians to target only the真正 therapeutic sites (active rotors) with RF ablation, thereby improving success rates while avoiding unnecessary lesions in passive rotor regions

The patent implements feedback by continuously monitoring electrogram signals during the ablation procedure and comparing them against the pre-procedure mapping data. This allows real-time verification that ablation is effectively eliminating the identified active rotors, enabling adjustment of the ablation strategy to maintain high therapeutic success rates while minimizing unnecessary procedure complexity