Classification of microstructure of human sleep using EEG modelling.
José M. Allen LimaAgostinho Cláudio da RosaPublished in: EUSIPCO (1998)
Keyphrases
- sleep stage
- eeg signals
- classification accuracy
- motor imagery
- pattern recognition
- support vector
- feature space
- classification models
- automatic classification
- sleep apnea
- support vector machine svm
- classification systems
- brain computer interface
- image classification
- signal processing
- classification scheme
- class labels
- eeg data
- pattern classification
- machine learning methods
- decision rules
- supervised learning
- training set
- machine learning
- human subjects
- data sets
- extracted features
- benchmark datasets
- model selection
- support vector machine
- feature extraction
- decision trees