Automated detecting and classifying of sleep apnea syndrome based on genetic-SVM.
Yashar MaaliAdel Al-JumailyPublished in: Int. J. Hybrid Intell. Syst. (2012)
Keyphrases
- obstructive sleep apnea
- sleep apnea
- support vector
- support vector machine svm
- radial basis function neural network
- automatic analysis
- sleep stage
- support vector machine
- semi automated
- physiological parameters
- multi class
- svm classifier
- training data
- feature selection
- knn
- detecting anomalies
- genetic algorithm
- feature vectors
- apnea hypopnea
- classification algorithm
- fully automated
- eeg signals
- support vectors
- generalization ability
- neural network
- kernel methods
- multi class classification
- human genome
- multi class svm
- k nearest neighbor
- machine learning