End-to-End Automatic Sleep Stage Classification Using Spectral-Temporal Sleep Features.
Hyeong-Jin KimMinji LeeSeong-Whan LeePublished in: EMBC (2020)
Keyphrases
- sleep stage
- end to end
- sleep apnea
- feature vectors
- feature set
- classification accuracy
- spectral features
- feature space
- high bandwidth
- admission control
- feature extraction
- multipath
- eeg signals
- content delivery
- wireless ad hoc networks
- extracted features
- ad hoc networks
- congestion control
- transport layer
- apnea hypopnea
- real world
- rate allocation
- application layer
- motion estimation
- feature selection