Recognition and classification of P300s in EEG signals by means of feature extraction using wavelet decomposition.
Sathya CostagliolaBernardo Dal SenoMatteo MatteucciPublished in: IJCNN (2009)
Keyphrases
- feature extraction
- eeg signals
- wavelet decomposition
- wavelet transform
- extracted features
- feature vectors
- pattern recognition
- texture feature extraction
- subband
- multiresolution
- support vector machine svm
- pattern classification
- empirical mode decomposition
- signal analysis
- multiscale
- image classification
- wavelet coefficients
- signal processing
- eeg data
- motor imagery
- wavelet domain
- kernel density estimators
- feature selection
- brain computer interface
- feature space
- image processing
- high frequency
- classification accuracy
- object recognition
- brain activity
- training set
- image compression
- face recognition
- support vector machine
- principal component analysis
- texture image retrieval
- neural network
- linear discriminant classifier
- gabor filters
- texture features
- spatial information
- frequency domain
- edge detection
- machine learning