Feature selection for classification in Steady state visually evoked potentials (SSVEP)-based brain-computer interfaces with genetic algorithm.
Stanislaw KarkoszMarcin JukiewiczPublished in: Bio Algorithms Med Syst. (2020)
Keyphrases
- brain computer interface
- steady state
- evoked potentials
- feature selection
- motor imagery
- eeg signals
- genetic algorithm
- eeg data
- markov chain
- classification accuracy
- feature space
- feature extraction
- product form
- operating conditions
- brain signals
- feature set
- signal processing
- explicit expressions
- steady states
- queue length
- pattern classification
- pattern recognition
- machine learning
- brain activity
- heavy traffic
- queueing model
- feature vectors
- fluid model
- natural images
- image classification
- data analysis
- computer vision
- learning algorithm
- neural network