A multi-class EEG-based BCI classification using multivariate empirical mode decomposition based filtering and Riemannian geometry.
Pramod GaurRam Bilas PachoriHui WangGirijesh PrasadPublished in: Expert Syst. Appl. (2018)
Keyphrases
- multi class
- eeg signals
- motor imagery
- brain computer interface
- empirical mode decomposition
- support vector machine
- multi class classifier
- multi class classification
- multiple classes
- binary classifiers
- eeg data
- binary and multi class
- single trial
- multi class boosting
- signal processing
- error correcting output codes
- cost sensitive
- multi class svm
- brain signals
- binary classification problems
- feature selection
- support vector
- pattern recognition
- pairwise
- probabilistic boosting tree
- kernel logistic regression
- protein classification
- multi class problems
- binary classification tasks
- classification accuracy
- decision trees
- feature extraction
- non stationary
- spatial filters
- machine learning
- multi label classification
- training set
- binary classification
- feature vectors
- image processing
- computer vision
- independent component analysis
- active learning
- knn