Towards precision sleep medicine: Self-attention GAN as an innovative data augmentation technique for developing personalized automatic sleep scoring classification.
Chih-En KuoTsung-Hua LuGuan-Ting ChenPo-Yu LiaoPublished in: Comput. Biol. Medicine (2022)
Keyphrases
- sleep stage
- data sets
- data collection
- data quality
- data processing
- raw data
- data analysis
- machine learning
- database
- training data
- support vector
- neural network
- learning algorithm
- statistical analysis
- data points
- end users
- preprocessing
- pattern recognition
- probability distribution
- image data
- supervised learning
- data mining techniques
- input data
- high quality
- feature vectors
- missing values
- decision trees
- eeg signals