Title
A Ventricular Far-Field Artefact Filtering Technique for Atrial Electrograms
Abstract
Intracardiac atrial electrograms (EGM) are prone to ventricular far-field potentials due to ventricular depolarization. In this study, a filtering technique integrating independent component analysis (ICA) and wavelet decomposition has been proposed to significantly reduce the ventricular far-field contents while preserving the EGM morphology related to atrial activations. First, the wavelet decomposition is applied to each unipolar EGM. Then, ICA is applied to the decomposed unipolar EGM components and surface ECG template. Each independent component is cross-correlated with the simultaneously recorded ECG template and the three components with higher correlation coefficients were eliminated before applying inverse ICA. Total of 126 unipolar EGM collected from an atrial fibrillation patient have been included. Results indicate that the proposed filtering can reduce the ventricular signal power by around 17 dB (decibel). Furthermore, the signal-to-noise ratio is increased by approximately 17 dB after applying the proposed filtering. In conclusion, the proposed filtering method could be used for atrial fibrillation-related intracardiac mapping for catheter ablation. Further studies on a larger dataset are essential to quantify the exact impact of ventricular artefacts on both unipolar and bipolar EGM and the effectiveness of the proposed filtering technique.
Year
DOI
Venue
2019
10.23919/CinC49843.2019.9005813
2019 Computing in Cardiology (CinC)
Keywords
DocType
ISSN
ventricular artefacts,atrial fibrillation-related intracardiac mapping,filtering method,ventricular signal power,atrial fibrillation patient,unipolar EGM,inverse ICA,high-correlation coefficients,simultaneously recorded ECG template,surface ECG template,decomposed unipolar EGM components,atrial activations,EGM morphology,wavelet decomposition,filtering technique integrating independent component analysis,ventricular depolarization,far-field potentials,intracardiac atrial electrograms,ventricular far-field artefact filtering technique,bipolar EGM
Conference
2325-8861
ISBN
Citations 
PageRank 
978-1-7281-5942-3
0
0.34
References 
Authors
5
5
Name
Order
Citations
PageRank
Simanto Saha100.34
Simon Hartmann200.34
Dominik Linz300.34
P Sanders4194.85
Mathias Baumert53611.50