Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms.
Alexander Neergaard OlesenPoul JennumPaul E. PeppardEmmanuel MignotHelge Bjarup Dissing SørensenPublished in: CoRR (2018)
Keyphrases
- sleep stage
- pattern recognition
- sleep apnea
- classification algorithm
- support vector machine svm
- semi automatic
- statistical classification
- classification scheme
- support vector
- preprocessing
- network analysis
- feature space
- pattern classification
- multi class
- machine learning
- decision trees
- classification models
- decision rules
- feature vectors
- computer networks
- network structure
- machine learning methods
- data sets
- automatic classification
- text classification
- classification accuracy