Sparse learning of band power features with genetic channel selection for effective classification of EEG signals.
Natasha PadfieldJinchang RenPaul MurrayHuimin ZhaoPublished in: Neurocomputing (2021)
Keyphrases
- eeg signals
- extracted features
- feature extraction
- signal processing
- brain computer interface
- feature vectors
- classification accuracy
- feature space
- linear discriminant classifier
- pattern recognition
- motor imagery
- sparse learning
- image processing
- class labels
- feature set
- multi task
- positive and negative
- machine learning algorithms
- eeg data
- object recognition
- computer vision