An Automatic Sleep Stage Classification Approach Based on Multi-Spike Supervised Learning.
Ziyi ZhaoXianghong LinMengwei ZhangPublished in: ISCID (1) (2019)
Keyphrases
- supervised learning
- sleep stage
- unsupervised learning
- supervised machine learning
- training set
- supervised classification
- training samples
- class labels
- classification accuracy
- training data
- automatic classification
- support vector machine
- semi supervised
- feature selection
- semi supervised learning
- classification systems
- decision trees
- statistical learning
- machine learning
- sleep apnea
- pattern recognition
- statistical classification
- classification scheme
- preprocessing
- data sets
- support vector
- active learning
- learning tasks
- learning problems
- classification models
- machine learning methods
- semi automatic
- feature extraction
- support vector machine svm
- training phase
- accurate classification
- features extraction
- image classification
- feature space