Enhancing Classification Performance of Functional Near-Infrared Spectroscopy- Brain-Computer Interface Using Adaptive Estimation of General Linear Model Coefficients.
Nauman Khalid QureshiNoman NaseerFarzan Majeed NooriHammad NazeerRayyan Azam KhanSajid SaleemPublished in: Frontiers Neurorobotics (2017)
Keyphrases
- brain computer interface
- motor imagery
- eeg signals
- eeg data
- feature space
- classification accuracy
- pattern recognition
- pattern classification
- general linear model
- event related
- signal processing
- feature vectors
- feature selection
- machine learning
- functional magnetic resonance imaging
- statistical pattern recognition
- computer vision
- single trial
- neural network
- brain activity
- activation patterns