Optimal channel and frequency band-based feature selection for motor imagery electroencephalogram classification.
Ming MengZhichao DongYunyuan GaoQingshan ShePublished in: Int. J. Imaging Syst. Technol. (2023)
Keyphrases
- motor imagery
- frequency band
- feature selection
- eeg signals
- brain computer interface
- eeg data
- feature subset
- frequency spectrum
- classification accuracy
- support vector
- text classification
- feature extraction
- machine learning
- signal processing
- feature set
- subband
- pattern classification
- feature space
- pattern recognition
- spectrum sensing
- feature vectors
- brain activity
- healthy subjects
- image classification
- support vector machine
- blind source separation
- high quality