A multi-feature classification approach to detect sleep apnea in an ultrasonic upper airway occlusion detector system.
Soheil ShafieeFarhad KamangarLaleh Shikh Gholamhossein GhandehariKhosrow BehbehaniPublished in: EMBC (2014)
Keyphrases
- multi feature
- image classification
- pattern recognition
- sleep stage
- sleep apnea
- decision trees
- support vector machine
- classification accuracy
- text classification
- support vector machine svm
- feature vectors
- multi class
- classification method
- svm classifier
- feature set
- feature fusion
- training set
- feature extraction
- machine learning
- obstructive sleep apnea
- classification models
- class labels
- feature selection