Automatic Detection of Atrial Fibrillation Based on Continuous Wavelet Transform and 2D Convolutional Neural Networks

Automatic Detection of Atrial Fibrillation Based on Continuous Wavelet Transform and 2D Convolutional Neural Networks

Atrial fibrillation (AF) is the most common cardiac arrhythmias causing morbidity and mortality. AF may appear as episodes of very short (i.e., proximal AF) or sustained duration (i.e., persistent AF), either form of which causes irregular ventricular excitations that affect the global function of t...

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Bibliographic Details
Main Authors: Runnan He, Kuanquan Wang, Na Zhao, Yang Liu, Yongfeng Yuan, Qince Li, Henggui Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-08-01
Series:Frontiers in Physiology
Subjects:
atrial fibrillation
continuous wavelet transform
2D convolutional neural networks
time-frequency features
practical applications
Online Access:https://www.frontiersin.org/article/10.3389/fphys.2018.01206/full

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https://www.frontiersin.org/article/10.3389/fphys.2018.01206/full

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