Comparative study of methods for ventricular activity cancellation in atrial electrograms of atrial fibrillation

José Joaquín Rieta1, Fernando Hornero

  • 1Biomedical Synergy, Valencia University of Technology, Campus de Gandia, 46730, Gandia, Spain. jjrieta@eln.upv.es

Insights

Independent Component Analysis (ICA) effectively removes ventricular activity from atrial electrograms, preserving waveform integrity. This method outperforms template matching and subtraction (TMS) and adaptive ventricular cancellation (AVC), especially in organized rhythms.

Area of Science:

  • Cardiovascular Electrophysiology
  • Signal Processing in Medicine
  • Biomedical Engineering

Background:

  • Atrial fibrillation is a prevalent cardiovascular disease.
  • Accurate analysis of atrial electrograms (AEG) requires removing ventricular activity.
  • Existing methods face limitations, especially when multi-lead recordings are unavailable.

Purpose of the Study:

  • To introduce and evaluate a novel application of Independent Component Analysis (ICA) for ventricular activity removal from unipolar epicardial atrial electrograms.
  • To compare the performance of ICA against Template Matching and Subtraction (TMS) and Adaptive Ventricular Cancellation (AVC).
  • To assess method efficacy based on atrial rhythm regularity.

Main Methods:

  • Independent Component Analysis (ICA) applied to unipolar epicardial AEGs using a single reference lead.
  • Comparative analysis with Template Matching and Subtraction (TMS) and Adaptive Ventricular Cancellation (AVC).
  • Evaluation using atrial waveform similarity (S) and ventricular depolarization reduction (VDR) metrics on a beat-by-beat basis across 20 patients.

Main Results:

  • ICA demonstrated superior atrial waveform preservation (median S = 99.64%) compared to TMS (95.18%) and AVC (94.76%) in organized atrial rhythms.
  • ICA achieved the best ventricular depolarization reduction (median VDR = 6.32 dB) versus TMS (4.98 dB) and AVC (4.12 dB) in organized rhythms.
  • In disorganized rhythms, ICA (S = 98.22%) and TMS (S = 97.72%) showed comparable waveform preservation, outperforming AVC (S = 93.74%).

Conclusions:

  • Independent Component Analysis (ICA) is a highly effective method for reducing ventricular activity from unipolar atrial electrograms, particularly in organized atrial arrhythmias.
  • ICA offers superior atrial waveform preservation and ventricular signal reduction compared to TMS and AVC in organized rhythms.
  • Both ICA and TMS provide comparable performance in waveform preservation during disorganized atrial arrhythmias.

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