Effectiveness of combined time-frequency imageand signal-based features for improving the detection and classification of epileptic seizure activities in EEG signals.
Larbi BoubchirSomaya Al-MáadeedAhmed BouridanePublished in: CoDIT (2014)
Keyphrases
- epileptic seizures
- eeg signals
- signal processing
- brain activity
- brain computer interface
- linear discriminant classifier
- extracted features
- event related potentials
- activity recognition
- pattern recognition
- empirical mode decomposition
- motor imagery
- kernel density estimators
- support vector machine svm
- feature set
- classification accuracy
- feature vectors
- signal analysis
- electrical activity
- feature extraction
- neural network