Time-frequency decomposition-based weighted ensemble learning for motor imagery EEG classification.
Liangsheng ZhengYue MaMengyao LiYang XiaoWei FengXinyu WuPublished in: RCAR (2021)
Keyphrases
- motor imagery
- ensemble learning
- eeg signals
- brain computer interface
- generalization ability
- eeg data
- signal processing
- ensemble methods
- ensemble classifier
- weak learners
- non stationary
- concept drift
- base classifiers
- spinal cord injury
- support vector machine
- feature selection
- random forest
- data sets
- back propagation
- benchmark datasets
- feature space
- support vector
- bayesian networks