A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series

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Chambon, Stanislas; Galtier, Mathieu; Arnal, Pierrick; Wainrib, Gilles; Gramfort, Alexandre;
  • Subject: Quantitative Biology - Neurons and Cognition | Computer Science - Computer Vision and Pattern Recognition | Statistics - Machine Learning
    acm: ComputingMethodologies_PATTERNRECOGNITION

Sleep stage classification constitutes an important preliminary exam in the diagnosis of sleep disorders. It is traditionally performed by a sleep expert who assigns to each 30s of signal a sleep stage, based on the visual inspection of signals such as electroencephalog... View more
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