Alibration of time features and frequency features in the time-frequency domain for improved detection and classification of seizure in newborn EEG signals.
Yomna BahnasyNoha SaadLarbi BoubchirBoualem BoashashPublished in: ISSPA (2012)
Keyphrases
- eeg signals
- classification accuracy
- extracted features
- feature extraction
- feature space
- classification process
- false positives
- feature vectors
- frequency analysis
- pattern recognition
- co occurrence
- feature set
- signal processing
- neural network
- class labels
- image classification
- epileptic seizures
- event related potentials
- classification models
- density estimation
- decision rules
- rough sets
- image features
- image analysis
- feature selection
- computer vision
- machine learning