A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series.
Stanislas ChambonMathieu GaltierPierrick ArnalGilles WainribAlexandre GramfortPublished in: CoRR (2017)
Keyphrases
- deep learning
- sleep stage
- multivariate time series
- unsupervised learning
- restricted boltzmann machine
- machine learning
- sleep apnea
- feature vectors
- supervised learning
- image classification
- training set
- object detection
- weakly supervised
- object model
- text classification
- higher order
- support vector machine
- feature space
- pattern recognition
- support vector
- feature extraction
- image segmentation
- decision trees
- feature selection
- computer vision