Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review.
Hamdi AltaheriGhulam MuhammadMansour AlsulaimanSyed Umar AminGhadir Ali AltuwaijriWadood AbdulMohamed A. BencherifMohammed FaisalPublished in: Neural Comput. Appl. (2023)
Keyphrases
- motor imagery
- eeg signals
- eeg data
- deep learning
- brain computer interface
- brain activity
- signal processing
- healthy subjects
- independent component analysis
- blind source separation
- single trial
- event related potentials
- unsupervised learning
- machine learning
- spinal cord injury
- restricted boltzmann machine
- topic models
- image representation
- online learning
- feature selection