A deep learning architecture to detect events in EEG signals during sleep.
Stanislas ChambonValentin ThoreyPierrick J. ArnalEmmanuel MignotAlexandre GramfortPublished in: CoRR (2018)
Keyphrases
- eeg signals
- deep learning
- signal processing
- brain computer interface
- unsupervised learning
- obstructive sleep apnea
- brain activity
- machine learning
- motor imagery
- unsupervised feature learning
- eeg data
- deep architectures
- neural network
- extracted features
- domain specific
- feature selection
- electrical activity
- brain signals