A Flexible Deep Learning Architecture for Temporal Sleep Stage Classification Using Accelerometry and Photoplethysmography.
Mads OlsenJamie M. ZeitzerRisa N. RichardsonPolina DavidenkoPoul J. JennumHelge B. D. SørensenEmmanuel MignotPublished in: IEEE Trans. Biomed. Eng. (2023)
Keyphrases
- deep learning
- sleep stage
- unsupervised learning
- machine learning
- sleep apnea
- restricted boltzmann machine
- pattern recognition
- decision trees
- feature selection
- support vector
- feature extraction
- feature vectors
- feature space
- object recognition
- support vector machine
- supervised learning
- image classification
- training set
- mental models