A Motor Imagery EEG Feature Extraction Method Based on Energy Principal Component Analysis and Deep Belief Networks.
Liwei ChengDuanling LiGongjing YuZhonghai ZhangXiang LiShuyue YuPublished in: IEEE Access (2020)
Keyphrases
- motor imagery
- principal component analysis
- brain computer interface
- deep belief networks
- eeg signals
- independent component analysis
- eeg data
- deep learning
- unsupervised learning
- blind source separation
- hierarchical models
- signal processing
- neural network
- dimensionality reduction
- spinal cord injury
- brain activity
- energy minimization
- generative model
- image features
- face recognition
- low dimensional
- healthy subjects
- feature vectors
- feature extraction
- learning algorithm