Expert-enhanced machine learning for cardiac arrhythmia classification

We propose a new method for the classification task of distinguishing atrial fibrillation (AFib) from regular atrial tachycardias including atrial flutter (AFlu) based on a surface electrocardiogram (ECG). Recently, many approaches for an automatic classification of cardiac arrhythmia were proposed...

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Detalles Bibliográficos
Autores principales: Sager, Sebastian, Bernhardt, Felix, Kehrle, Florian, Merkert, Maximilian, Potschka, Andreas, Meder, Benjamin, Katus, Hugo, Scholz, Eberhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699667/
https://www.ncbi.nlm.nih.gov/pubmed/34941897
http://dx.doi.org/10.1371/journal.pone.0261571

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699667/
https://www.ncbi.nlm.nih.gov/pubmed/34941897
http://dx.doi.org/10.1371/journal.pone.0261571

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