An efficient compression of ECG signals using deep convolutional autoencoders.

Özal Yildirim Ru San Tan U. Rajendra Acharya

Published in: Cogn. Syst. Res. (2018)

Keyphrases

ecg signals
deep belief networks
deep learning
restricted boltzmann machine
denoising
image compression
unsupervised learning
data compression
unsupervised feature learning
heart rate
sparse coding
compression ratio
atrial fibrillation
network architecture
natural images
probabilistic model
feature selection