Classification of alcoholic EEG signals using wavelet scattering transform-based features.
Abdul Baseer BuriroBilal AhmedGulsher BalochJunaid AhmedReza ShoorangizStephen John WeddellRichard D. JonesPublished in: Comput. Biol. Medicine (2021)
Keyphrases
- eeg signals
- extracted features
- feature extraction
- motor imagery
- feature vectors
- brain computer interface
- feature set
- classification accuracy
- kernel density estimators
- signal processing
- wavelet features
- classification process
- brain activity
- healthy subjects
- feature space
- feature extraction and classification
- eeg data
- classification models
- classification method
- electrical activity
- multiscale
- decision trees
- neural network
- linear discriminant classifier
- svm classifier
- wavelet transform
- machine learning
- wavelet coefficients
- multiresolution
- image analysis
- event related potentials
- high dimensional