Detection and Classification of Alcoholic and Control Scalp EEG Signals using Discrete Wavelet Transform and Gradient Boosted Tree classifiers.
Kusuma Kumari KoradaHema Kumar GoruPravallika MedisettyGnana Deepika PaladuguJanu Mayusha GunduPublished in: ICCCNT (2023)
Keyphrases
- eeg signals
- discrete wavelet transform
- kernel density estimators
- event related potentials
- brain signals
- signal processing
- extracted features
- brain computer interface
- multiresolution
- boosted classifiers
- eeg data
- subband
- high frequency
- epileptic seizures
- motor imagery
- wavelet coefficients
- image fusion
- support vector
- brain activity
- linear discriminant classifier
- wavelet domain
- feature vectors
- pattern recognition
- decision trees
- low frequency
- face detection
- training set
- svm classifier
- fusion method
- support vector machine
- support vector machine classifier
- dual tree
- training data
- feature extraction
- feature selection