Reliable automatic sleep stage classification based on hybrid intelligence.
Yizi ShaoBokai HuangLidong DuPeng WangZhenfeng LiZhe LiuLei ZhouYuanlin SongXianxiang ChenZhen FangPublished in: Comput. Biol. Medicine (2024)
Keyphrases
- sleep stage
- sleep apnea
- classification accuracy
- pattern recognition
- feature extraction
- semi automatic
- text classification
- feature vectors
- feature selection
- support vector machine
- classification method
- automatic classification
- pattern classification
- fully automatic
- statistical classification
- classification algorithm
- machine learning
- image classification
- feature space
- support vector
- artificial intelligence
- information processing
- support vector machine svm
- machine learning algorithms
- training samples
- model selection
- cost effective
- preprocessing
- classification scheme
- classification systems
- classification process
- genetic algorithm
- neural network