Motor imagery electroencephalogram classification based on Riemannian geometry and deep learning framework.
Bo LuShengjie HanXiaotong DingGuang LiPublished in: ISAIMS (2023)
Keyphrases
- motor imagery
- deep learning
- eeg signals
- eeg data
- text classification
- brain computer interface
- supervised learning
- multiscale
- feature extraction
- classification accuracy
- machine learning
- feature vectors
- semi supervised
- image classification
- unsupervised learning
- independent component analysis
- pattern recognition
- blind source separation
- brain activity
- decision trees