Atrial fibrillation classification based on convolutional neural networks

Atrial fibrillation classification based on convolutional neural networks

Abstract Background The global age-adjusted mortality rate related to atrial fibrillation (AF) registered a rapid growth in the last four decades, i.e., from 0.8 to 1.6 and 0.9 to 1.7 per 100,000 for men and women during 1990–2010, respectively. In this context, this study uses convolutional neural...

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Bibliographic Details
Main Authors: Kwang-Sig Lee, Sunghoon Jung, Yeongjoon Gil, Ho Sung Son
Format: Article
Language:English
Published: BMC 2019-10-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Atrial fibrillation
Convolutional neural networks
Alex networks
Residual networks
Online Access:http://link.springer.com/article/10.1186/s12911-019-0946-1

Internet

http://link.springer.com/article/10.1186/s12911-019-0946-1

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