A Deep Learning Architecture to Detect Events in EEG Signals During Sleep.
Stanislas ChambonValentin ThoreyPierrick J. ArnalEmmanuel MignotAlexandre GramfortPublished in: MLSP (2018)
Keyphrases
- eeg signals
- deep learning
- signal processing
- unsupervised feature learning
- obstructive sleep apnea
- unsupervised learning
- brain computer interface
- machine learning
- motor imagery
- brain activity
- electrical activity
- linear discriminant classifier
- sleep apnea
- deep architectures
- mental models
- brain signals
- eeg data
- weakly supervised
- domain specific