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
Autores principales: Prudat, Yann, Luca, Adrian, Yazdani, Sasan, Derval, Nicolas, Jaïs, Pierre, Roten, Laurent, Berte, Benjamin, Pruvot, Etienne, Vesin, Jean-Marc, Pascale, Patrizio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420290/
https://www.ncbi.nlm.nih.gov/pubmed/36031620
http://dx.doi.org/10.1186/s12911-022-01969-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420290/
https://www.ncbi.nlm.nih.gov/pubmed/36031620
http://dx.doi.org/10.1186/s12911-022-01969-5

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