EEG-based automatic sleep-wake classification in humans using short and standard epoch lengths.
Arnaud BrignolTarik Al-AniXavier DrouotPublished in: BIBE (2012)
Keyphrases
- sleep stage
- eeg signals
- sleep apnea
- feature selection
- decision trees
- pattern recognition
- machine learning
- statistical classification
- classification method
- obstructive sleep apnea
- motor imagery
- support vector
- supervised learning
- classification accuracy
- automatic classification
- feature extraction
- feature space
- classification systems
- signal processing
- pattern classification
- model selection
- text classification
- classification models
- support vector machine
- eeg data
- machine learning methods
- feature vectors
- class labels