A hybrid method based on time-frequency images for classification of alcohol and control EEG signals.
Varun BajajYanhui GuoAbdulkadir SengürSiuly SiulyOmer F. AlcinPublished in: Neural Comput. Appl. (2017)
Keyphrases
- eeg signals
- hybrid method
- image classification
- extracted features
- signal processing
- motor imagery
- input image
- image features
- support vector machine
- feature vectors
- eeg data
- feature extraction
- feature selection
- machine learning
- brain signals
- image analysis
- classification accuracy
- decision trees
- kernel density estimators
- healthy subjects
- training set
- pattern recognition
- human subjects
- hybrid algorithm
- object recognition
- similarity measure
- data mining
- neural network