Signal Selection for Sleep Apnea Classification.
Yashar MaaliAdel Al-JumailyPublished in: Australasian Conference on Artificial Intelligence (2012)
Keyphrases
- sleep stage
- pattern recognition
- sleep apnea
- decision trees
- classification algorithm
- machine learning
- classification scheme
- automatic classification
- signal processing
- image classification
- classification method
- supervised learning
- feature selection
- automatic analysis
- classification systems
- support vector
- decision rules
- classification accuracy
- benchmark datasets
- non stationary
- preprocessing
- support vector machine svm
- classification rules
- training samples
- feature extraction
- feature set
- support vector machine
- neural network