Automatic Prediction of Atrial Fibrillation Based on Convolutional Neural Network Using a Short-term Normal Electrocardiogram Signal

BACKGROUND: In this study, we propose a method for automatically predicting atrial fibrillation (AF) based on convolutional neural network (CNN) using a short-term normal electrocardiogram (ECG) signal. METHODS: We designed a CNN model and optimized it by dropout and normalization. One-dimensional c...

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Detalles Bibliográficos
Autores principales: Erdenebayar, Urtnasan, Kim, Hyeonggon, Park, Jong-Uk, Kang, Dongwon, Lee, Kyoung-Joung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6384436/
https://www.ncbi.nlm.nih.gov/pubmed/30804732
http://dx.doi.org/10.3346/jkms.2019.34.e64

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6384436/
https://www.ncbi.nlm.nih.gov/pubmed/30804732
http://dx.doi.org/10.3346/jkms.2019.34.e64

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