Editorial: Atrial Fibrillation: Technologies for Investigation, Monitoring and Treatment, Volume II

Front Physiol. 2023 May 4:14:1209458. doi: 10.3389/fphys.2023.1209458. eCollection 2023.

Omer Berenfeld¹, Valentina Corino^{2

3}, Axel Loewe⁴, Juan Pablo Martínez^{5

6}, Jose F Rodriguez Matas⁷

¹ Center for Arrhythmia Research, University of Michigan, Ann Arbor, MI, United States.
² Biosignals, Bioimaging and Bioinformatics Laboratory (B3Lab), Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Milano, Italy.
³ Cardio Tech-Lab, Centro Cardiologico Monzino IRCCS, Milan, Italy.
⁴ Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
⁵ Biomedical Signal Interpretation and Computational Simulation Group, Aragón Institute of Engineering Research, IIS Aragón, Universidad de Zaragoza, Zaragoza, Spain.
⁶ Centro de Investigación Biomédica en Red en Bioingeniería, Zaragoza, Spain.
⁷ LaBS, Department of Chemistry, Material and Chemical Engineering "Giulio Natta", Politecnico di Milano, Milano, Italy.

No abstract available

Keywords: ablation; atrial fibrillation; detection; machine learning; mapping; prediction; rate control.

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