Automatic sleep stage recurrent neural classifier using energy features of EEG signals.
Yu-Liang HsuYa-Ting C. YangJeen-Shing WangChung-Yao HsuPublished in: Neurocomputing (2013)
Keyphrases
- eeg signals
- extracted features
- feature set
- feature space
- classification process
- training data
- svm classifier
- classification models
- feature values
- healthy subjects
- training examples
- classification method
- co occurrence
- classification accuracy
- multiple classifiers
- feature vectors
- fold cross validation
- feature selection
- motor imagery
- brain signals
- weak classifiers
- energy consumption
- false positives
- support vector machine svm
- pattern recognition
- support vector