Automatic Sleep Stage Classification on EEG Signals Using Time-Frequency Representation.
Paul DequidtMathieu SeraphimAlexis LechervyIvan Igor GaezLuc BrunOlivier EtardPublished in: AIME (2023)
Keyphrases
- eeg signals
- sleep stage
- signal processing
- linear discriminant classifier
- kernel density estimators
- motor imagery
- eeg data
- brain activity
- brain computer interface
- pattern recognition
- decision trees
- empirical mode decomposition
- support vector machine svm
- image classification
- healthy subjects
- sleep apnea
- classification accuracy
- fold cross validation
- probability models
- extracted features
- rough sets
- brain signals
- feature extraction
- machine learning