Identification of spatiotemporal dispersion electrograms in atrial fibrillation ablation using machine learning: A comparative study

•A new patient-tailored ablation protocol using multipole catheters has been proposed.•Visual inspection of spatiotemporal dispersion patterns lacks reproducibility.•Machine learning models for automatic classification of electrograms are benchmarked.•The decision-aid solution can work in real time...

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Veröffentlicht in:	Biomedical signal processing and control 2022-02, Vol.72, p.103269, Article 103269
Hauptverfasser:	Ghrissi, Amina, Almonfrey, Douglas, Squara, Fabien, Montagnat, Johan, Zarzoso, Vicente
Format:	Artikel
Sprache:	eng
Schlagworte:	Atrial fibrillation Bioengineering Cardiology and cardiovascular system Catheter ablation Computer Science Human health and pathology Life Sciences Machine Learning Multichannel electrogram Multipole catheter Signal and Image Processing Spatiotemporal dispersion Transfer learning
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