Editorial: Atrial Fibrillation: Technology for Diagnosis, Monitoring, and Treatment

Frontiers in Physiology

Valentina D. A. Corino²  Omer Berenfeld³  Juan Pablo Martínez⁴  Axel Loewe⁵  Jose F. Rodriguez Matas⁶ 

[1] Biomedical Signal Interpretation and Computational Simulation Group, Aragón Institute of Engineering Research, IIS Aragón, Universidad de Zaragoza, Zaragoza, Spain;Biosignals, Bioimaging and Bioinformatics Laboratory (B3Lab), Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Milano, Italy;Center for Arrhythmia Research, University of Michigan, Ann Arbor, MI, United States;Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina, Zaragoza, Spain;Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany;Laboratory of Biological Structure Mechanics (LaBS), Department of Chemistry, Material and Chemical Engineering “Giulio Natta”, Politecnico di Milano, Milano, Italy;

关键词: atrial fibrillation;    atrial disease;    AF detection;    ablation;    mapping;    machine learning;   

DOI  :  10.3389/fphys.2022.848096

来源: DOAJ

【 授权许可】

Unknown