Automatic Detection of Atrial Fibrillation in ECG Using Co-Occurrence Patterns of Dynamic Symbol Assignment and Machine Learning

Early detection of atrial fibrillation from electrocardiography (ECG) plays a vital role in the timely prevention and diagnosis of cardiovascular diseases. Various algorithms have been proposed; however, they are lacking in considering varied-length signals, morphological transitions, and abnormalit...

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Detalles Bibliográficos
Autores principales: Ganapathy, Nagarajan, Baumgärtel, Diana, Deserno, Thomas M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8161329/
https://www.ncbi.nlm.nih.gov/pubmed/34069717
http://dx.doi.org/10.3390/s21103542

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8161329/
https://www.ncbi.nlm.nih.gov/pubmed/34069717
http://dx.doi.org/10.3390/s21103542

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