Multimodal fNIRS-EEG Classification Using Deep Learning Algorithms for Brain-Computer Interfaces Purposes.
Marjan SaadatiJill K. NelsonHasan AyazPublished in: AHFE (2) (2019)
Keyphrases
- eeg signals
- brain computer interface
- eeg data
- motor imagery
- single trial
- learning algorithm
- multimodal interaction
- signal processing
- healthy subjects
- brain activity
- classification accuracy
- supervised learning
- brain signals
- event related
- multi modal
- training data
- machine learning
- independent component analysis
- machine learning algorithms
- training samples
- image classification
- active learning
- classification algorithm
- evoked potentials
- pattern recognition
- decision trees
- pattern classification
- deep learning
- medical images
- training set
- computer screen
- event related potentials
- spinal cord injury