Optimal set of EEG features in infant sleep stage classification.
Maja CicMario MilicevicIgor MazicPublished in: Turkish J. Electr. Eng. Comput. Sci. (2019)
Keyphrases
- sleep stage
- feature set
- classification accuracy
- feature vectors
- eeg signals
- feature extraction
- classification models
- pattern recognition
- small number
- classification method
- sleep apnea
- classification process
- low level
- feature space
- benchmark datasets
- class labels
- feature subset
- svm classifier
- dynamic programming
- decision trees
- extracted features
- minimum cost
- pattern classification
- feature selection
- feature values
- highly discriminative