Electroencephalography Based Motor Imagery Classification Using Unsupervised Feature Selection.
Abdullah Al ShiamMd. Rabiul IslamToshihisa TanakaMd. Khademul Islam MollaPublished in: CW (2019)
Keyphrases
- motor imagery
- unsupervised feature selection
- eeg signals
- brain computer interface
- eeg data
- feature selection
- classification accuracy
- decision trees
- feature extraction
- neural network
- signal processing
- machine learning
- image classification
- data clustering
- independent component analysis
- support vector machine svm
- blind source separation
- healthy subjects
- dimensionality reduction
- pattern recognition