A Feature Selection Method for Multilevel Mental Fatigue EEG Classification.
Kai Quan ShenChong Jin OngXiao Ping LiHui ZhengEinar P. V. Wilder-SmithPublished in: IEEE Trans. Biomed. Eng. (2007)
Keyphrases
- eeg signals
- classification accuracy
- pattern recognition
- automatic classification
- machine learning
- model selection
- feature selection
- eeg data
- classification algorithm
- class labels
- support vector machine svm
- classification method
- decision rules
- training samples
- decision trees
- feature extraction
- signal processing
- supervised learning
- motor imagery
- supervised classification
- classification scheme
- support vector
- sleep stage
- image classification
- spectral features
- classification models
- pattern classification
- classification rules
- preprocessing
- training set
- high dimensional
- cross validation
- feature vectors
- support vector machine