Classification of EEG signals using relative wavelet energy and artificial neural networks.
Ling GuoDaniel RiveroJosé A. SeoaneAlejandro PazosPublished in: GEC Summit (2009)
Keyphrases
- eeg signals
- artificial neural networks
- signal processing
- brain computer interface
- motor imagery
- eeg data
- brain activity
- support vector machine svm
- feature selection
- feature extraction
- multiscale
- computational intelligence
- positive and negative
- linear discriminant classifier
- multi layer perceptron
- energy distribution
- neural network
- pattern recognition
- neural network model
- classification accuracy
- kernel density estimators
- decision rules
- extracted features
- wavelet transform
- support vector machine
- multiresolution
- image processing
- genetic algorithm
- data mining