An optimized feature selection and classification method for using electroencephalographic coherence in brain-computer interfaces.
Rocio Salazar-VarasDavid GutiérrezPublished in: Biomed. Signal Process. Control. (2015)
Keyphrases
- classification method
- brain computer interface
- feature selection
- selected features
- text classification
- knn
- support vector machine
- k nearest neighbor
- motor imagery
- eeg signals
- healthy subjects
- text categorization
- support vector machine svm
- signal processing
- classification scheme
- eeg data
- classification algorithm
- brain signals
- computer screen
- feature set
- feature selection algorithms
- feature extraction
- classification accuracy
- image processing
- brain activity
- support vector
- naive bayes
- nearest neighbor rule
- evoked potentials
- spinal cord injury
- test sample
- machine learning
- unsupervised learning
- motor learning
- dimensionality reduction
- natural language
- information retrieval