Convolutional Neural Networks for Automatic Detection of Artifacts from Independent Components Represented in Scalp Topographies of EEG Signals.
Giuseppe PlacidiLuigi CinqueMatteo PolsinelliPublished in: CoRR (2020)
Keyphrases
- automatic detection
- eeg signals
- independent components
- independent component analysis
- convolutional neural networks
- eeg data
- signal processing
- automatically detecting
- independent components analysis
- factor analysis
- brain computer interface
- blind source separation
- healthy subjects
- feature space
- principal components
- brain activity
- motor imagery
- principal component analysis
- feature vectors
- image processing
- pattern recognition
- extracted features
- single trial