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Non-invasive estimation of atrial fibrillation driver position using long-short term memory neural networks and body surface potentials

Gutiérrez-Fernández-Calvillo, Miriam; Cámara-Vázquez, Miguel Ángel; Hernández-Romero, Ismael; Guillem Sánchez, María Salud; Climent, Andreu M.; Fambuena-Santos, Carlos; Barquero-Pérez, Óscar (Elsevier, 2024-04)

[EN] Background and Objective: Atrial Fibrillation (AF) is a supraventricular tachyarrhythmia that can lead to thromboembolism, hearlt failure, ischemic stroke, and a decreased quality of life. Characterizing the locations ...
Non-invasive Estimation of Atrial Fibrillation Driver Position With Convolutional Neural Networks and Body Surface Potentials

Cámara-Vázquez, Miguel Ángel; Hernández-Romero, Ismael; Morgado-Reyes, Eduardo; Guillem Sánchez, María Salud; Climent, Andreu M.; Barquero-Pérez, Oscar (Frontiers Media SA, 2021-10-14)

[EN] Atrial fibrillation (AF) is characterized by complex and irregular propagation patterns, and AF onset locations and drivers responsible for its perpetuation are the main targets for ablation procedures. ECG imaging ...

Mostrando ítems 1-2 de 2