Deep Learning Using EEG Data in Time and Frequency Domains for Sleep Stage Classification.
Martí ManzanoAlberto GuillénIgnacio RojasLuis Javier HerreraPublished in: IWANN (1) (2017)
Keyphrases
- deep learning
- sleep stage
- eeg data
- eeg signals
- machine learning
- unsupervised learning
- classification accuracy
- restricted boltzmann machine
- motor imagery
- unsupervised feature learning
- sleep apnea
- text classification
- independent component analysis
- weakly supervised
- feature vectors
- training set
- feature space
- brain computer interface
- multiscale
- training data
- image segmentation
- information retrieval