Towards Real-Time Sleep Stage Prediction and Online Calibration Based on Architecturally Switchable Deep Learning Models.
Hangyu ZhuYonglin WuYao GuoCong FuFeng ShuHuan YuWei ChenChen ChenPublished in: IEEE J. Biomed. Health Informatics (2024)
Keyphrases
- learning models
- real time
- sleep stage
- machine learning
- learning tasks
- learning algorithm
- loss function
- conditional random fields
- semi supervised learning
- machine learning algorithms
- sleep apnea
- classification models
- model selection
- learning problems
- sparse metric learning
- generative model
- bayesian networks
- computer vision
- data sets