Nonlinear features based classification of active and resting states of human brain using EEG.
Rana Fayyaz AhmadAamir Saeed MalikHafeez Ullah AminNidal S. KamelAbdul QayyumFaruque RezaPublished in: ICSIPA (2015)
Keyphrases
- eeg signals
- classification accuracy
- feature set
- feature vectors
- feature extraction
- classification models
- feature space
- classification method
- classification process
- feature analysis
- svm classifier
- spectral features
- high dimensionality
- extracted features
- extracting features
- pattern classification
- kernel fisher
- feature selection
- feature weights
- feature representation
- image features
- feature values
- feature subset
- feature selection algorithms
- support vector machine
- class labels
- machine learning
- pattern recognition
- kernel principal component analysis
- gender classification
- roc curve
- text classification
- benchmark datasets
- svm classification
- low level
- supervised learning
- active learning
- features extraction
- eeg data
- feature reduction
- event related
- false positives