A Novel EEG Correlation Coefficient Feature Extraction Approach Based on Demixing EEG Channel Pairs for Cognitive Task Classification.
Yongkoo ParkWonzoo ChungPublished in: IEEE Access (2020)
Keyphrases
- correlation coefficient
- feature extraction
- eeg signals
- eeg data
- motor imagery
- pattern classification
- sleep stage
- feature vectors
- support vector machine svm
- image classification
- pattern recognition
- feature selection
- single channel
- brain computer interface
- event related potentials
- single trial
- extracted features
- standard deviation
- signal processing
- root mean square error
- support vector
- decision trees
- dimension reduction
- feature extraction and classification
- feature space
- face recognition
- independent component analysis
- text classification
- chi square
- preprocessing
- structural similarity
- correlation analysis
- blind source separation
- feature representation
- frequency domain
- classification accuracy
- image processing
- machine learning
- root mean squared error
- similarity measure
- information gain
- wavelet transform
- dimensionality reduction
- feature set