Automatic sleep stage classification with deep residual networks in a mixed-cohort setting.
Alexander Neergaard OlesenPoul JennumEmmanuel MignotHelge B. D. SørensenPublished in: CoRR (2020)
Keyphrases
- sleep stage
- sleep apnea
- automatic classification
- classification accuracy
- feature extraction
- classification scheme
- classification method
- text classification
- supervised classification
- pattern recognition
- support vector
- classification process
- feature vectors
- support vector machine
- classification systems
- object classification
- network design
- pattern classification
- support vector machine svm
- benchmark datasets
- neural network
- feature space
- decision trees
- classification algorithm
- classification rules
- complex networks
- computer networks
- network analysis
- supervised learning
- wireless sensor networks
- training set
- preprocessing
- feature selection
- social networks
- machine learning