EEG signal classification using time-varying autoregressive models and common spatial patterns.
David GutiérrezRocio Salazar-VarasPublished in: EMBC (2011)
Keyphrases
- eeg signals
- motor imagery
- brain computer interface
- autoregressive model
- pattern recognition
- kernel density estimators
- decision trees
- event related potentials
- classification accuracy
- extracted features
- multiscale
- positive and negative
- image analysis
- preprocessing
- support vector
- healthy subjects
- feature extraction
- neural network