Somnotate: A probabilistic sleep stage classifier for studying vigilance state transitions.
Paul J. N. BrodersenHannah AlfonsaLukas B. KroneCristina Blanco-DuqueAngus S. FiskSarah J. FlahertyMathilde C. C. GuillauminYi-Ge HuangMartin C. KahnLaura E. McKillopLinus MilinskiLewis TaylorChristopher W. ThomasTomoko YamagataRussell G. FosterVladyslav V. VyazovskiyColin J. AkermanPublished in: PLoS Comput. Biol. (2024)
Keyphrases
- state transitions
- sleep stage
- state transition
- training data
- decision trees
- feature space
- classification method
- feature selection
- sleep apnea
- support vector machine
- bayesian networks
- training set
- classification process
- uncertain data
- svm classifier
- classification algorithm
- class labels
- generative model
- feature set
- probabilistic model
- machine learning
- data sets
- classification scheme
- linear classifiers
- context aware
- classifier combination
- user actions