Increasing the Classification Accuracy of EEG based Brain-computer Interface Signals.
Georgi Petrov DimitrovPavel PetrovInna DimitrovaGalina S. PanayotovaIvan GarvanovOlexiy BychkovEugenia KovatchevaPepa PetrovaPublished in: ACIT (2020)
Keyphrases
- motor imagery
- classification accuracy
- eeg signals
- event related
- signal processing
- brain computer interface
- eeg data
- physiological signals
- brain activity
- brain signals
- naive bayes
- support vector
- signal acquisition
- training data
- single channel
- single trial
- independent component analysis
- training set
- feature space
- blind source separation
- frequency band
- neural network
- frequency ranges
- phase locked
- feature selection
- learning algorithm
- machine learning