GTransU-CAP: Automatic labeling for cyclic alternating patterns in sleep EEG using gated transformer-based U-Net framework.
Jiaxin YouYu MaYuanyuan WangPublished in: Comput. Biol. Medicine (2022)
Keyphrases
- sleep stage
- obstructive sleep apnea
- eeg signals
- image segmentation
- semi automatic
- unsupervised learning
- active learning
- data mining techniques
- fully automatic
- machine learning
- sleep apnea
- pattern discovery
- sequential patterns
- event related potentials
- similar patterns
- design patterns
- pattern mining
- frequent patterns
- power system
- computer vision