Combination of EEG Data Time and Frequency Representations in Deep Networks for Sleep Stage Classification.
Martí ManzanoAlberto GuillénIgnacio RojasLuis Javier HerreraPublished in: ICIC (2) (2017)
Keyphrases
- sleep stage
- eeg data
- eeg signals
- pattern recognition
- classification accuracy
- motor imagery
- brain computer interface
- feature vectors
- machine learning
- independent component analysis
- pattern classification
- decision rules
- sleep apnea
- spectral features
- signal analysis
- brain activity
- image representation
- text classification
- image classification
- feature set
- feature space
- data analysis
- support vector
- computer vision