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Deep Learning for End-to-End Atrial Fibrillation Recurrence Estimation.
Riddhish Bhalodia
Anupama Goparaju
Tim Sodergren
Alan Morris
Evgueni Kholmovski
Nassir Marrouche
Joshua Cates
Ross T. Whitaker
Shireen Y. Elhabian
Published in:
CoRR (2018)
Keyphrases
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end to end
deep learning
atrial fibrillation
unsupervised learning
machine learning
weakly supervised
heart rate variability
ecg signals
data mining
image processing
real world
image data
x ray