Login / Signup
DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal.
Stanislas Chambon
Valentin Thorey
Pierrick J. Arnal
Emmanuel Mignot
Alexandre Gramfort
Published in:
CoRR (2018)
Keyphrases
</>
deep learning
eeg signals
obstructive sleep apnea
unsupervised feature learning
unsupervised learning
sleep apnea
signal processing
machine learning
decision trees
viewpoint
supervised learning
co occurrence
extracted features
deep architectures
event related potentials