Motor Imagery EEG Classification Based on Decision Tree Framework and Riemannian Geometry.
Shan GuanKai ZhaoShuning YangPublished in: Comput. Intell. Neurosci. (2019)
Keyphrases
- motor imagery
- decision trees
- eeg signals
- brain computer interface
- eeg data
- classification accuracy
- support vector
- feature vectors
- machine learning algorithms
- online training
- decision tree algorithm
- riemannian manifolds
- classification rules
- pattern recognition
- training data
- feature extraction
- pattern classification
- neural network
- probabilistic model
- feature space
- spinal cord injury