Sleep stage classification for managing nocturnal enuresis through effective configuration.
Sangyeop LeeJunhyung MoonTaeho LeeSaewon KyeKyoungwoo LeeYong Seung LeeSeung-chul ShinPublished in: SMC (2017)
Keyphrases
- sleep stage
- classification accuracy
- sleep apnea
- pattern recognition
- feature selection
- machine learning
- classification method
- classification process
- machine learning methods
- case study
- classification systems
- feature space
- automatic classification
- database
- classification rules
- pattern classification
- supervised learning
- classification algorithm
- support vector machine
- document classification
- artificial neural networks
- classification scheme
- classification rate
- eeg signals
- learning vector quantization
- image classification
- decision rules
- support vector machine svm
- training samples
- model selection
- feature vectors
- pairwise
- training set
- preprocessing
- feature extraction
- decision trees
- information systems
- computer vision
- search engine
- data mining