Evaluation and optimization of novel extraction algorithms for the automatic detection of atrial activations recorded within the pulmonary veins during atrial fibrillation.

Background and Objective: The automated detection of atrial activations (AAs) recorded from intracardiac electrograms (IEGMs) during atrial fibrillation (AF) is challenging considering their various amplitudes, morphologies and cycle length. Activation time estimation is further complicated by the c...

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Detalles Bibliográficos
Publicado en:BMC Medical Informatics & Decision Making Vol. 22; no. 1; pp. 1 - 14
Autores principales: Prudat, Yann, Luca, Adrian, Yazdani, Sasan, Derval, Nicolas, Jaïs, Pierre, Roten, Laurent, Berte, Benjamin, Pruvot, Etienne, Vesin, Jean-Marc, Pascale, Patrizio
Formato: research Journal Article
Publicado: BioMed Central 8/28/2022
Acceso en línea:Ver este registro en EBSCOhost