Improving classification of epileptic and non-epileptic EEG events by feature selection.
Evangelia PippaEvangelia I. ZacharakiIosif MporasVasiliki TsirkaMark P. RichardsonMichael KoutroumanidisVasileios MegalooikonomouPublished in: Neurocomputing (2016)
Keyphrases
- eeg signals
- eeg data
- feature selection
- brain computer interface
- linear discriminant classifier
- motor imagery
- brain activity
- classification accuracy
- signal processing
- independent component analysis
- support vector
- image classification
- feature extraction
- fold cross validation
- machine learning
- class separability
- event related
- feature space
- support vector machine
- feature set
- feature subset
- single trial
- text categorization
- accurate classification
- small sample
- classification method
- classification models
- naive bayes
- classification algorithm
- extracted features
- text classification
- mutual information
- feature selection algorithms
- classification performances
- pattern classification
- epileptic seizures
- sleep stage
- selecting relevant features
- feature vectors