SVM-based recursive feature elimination to compare phase synchronization computed from broadband and narrowband EEG signals in Brain-Computer Interfaces.
Elly GyselsPhilippe ReneveyPatrick CelkaPublished in: Signal Process. (2005)
Keyphrases
- eeg signals
- brain computer interface
- recursive feature elimination
- support vector machine
- cancer diagnosis
- signal processing
- feature selection
- support vector
- terms of classification accuracy
- motor imagery
- brain activity
- gene selection
- healthy subjects
- eeg data
- brain signals
- support vector machine svm
- feature selection algorithms
- spinal cord injury
- small samples
- feature ranking
- microarray datasets
- lung cancer
- svm classifier
- dimensionality reduction
- evoked potentials
- training set
- event related potentials
- image processing