Combining frequency and time-domain EEG features for classification of self-paced reach-and-grasp actions.
Andreas SchwarzJoana PereiraLydia LindnerGernot R. Müller-PutzPublished in: EMBC (2019)
Keyphrases
- eeg signals
- classification accuracy
- feature vectors
- feature set
- feature extraction
- classification method
- classification models
- brain computer interface
- feature space
- low level
- svm classifier
- feature analysis
- high dimensionality
- spectral features
- feature selection algorithms
- pattern classification
- feature subset
- benchmark datasets
- classification process
- gender classification
- extracting features
- textural features
- classification scheme
- extracted features
- feature values
- decision trees
- feature selection
- support vector machine
- discriminative features
- pattern recognition
- features extraction
- eeg data
- class labels
- physiological signals
- support vector machine svm
- image features
- feature reduction
- support vector
- training set
- motor imagery
- online course
- text categorization
- frequency domain
- classification algorithm