Nonlinear Methods in ElectroEncephalographic Analysis: Artificial Neural Networks and wavelets for Classification of EEG Signals in Individuals at Risk for alcoholism.
Carla LopesPublished in: WOB (2004)
Keyphrases
- eeg signals
- artificial neural networks
- benchmark datasets
- machine learning methods
- classification accuracy
- signal processing
- eeg data
- data analysis
- regression method
- support vector
- multiscale
- classification method
- decision trees
- training set
- feature selection
- neural network
- machine learning
- brain activity
- risk assessment
- brain computer interface
- extracted features
- classification models
- density estimation
- linear regression
- text classification
- image features
- pattern recognition
- feature space
- preprocessing