Detection and classification of sleep apnea using genetic algorithms and SVM-based classification of thoracic respiratory effort and oximetric signal features.
Zahra AbediNadia NaghaviFariborz RezaeitalabPublished in: Comput. Intell. (2017)
Keyphrases
- classification accuracy
- support vector machine
- svm classifier
- feature extraction
- support vector
- feature vectors
- support vector machine svm
- classification method
- feature space
- pattern classification
- machine learning
- benchmark datasets
- classification models
- feature selection
- class labels
- classification process
- pattern recognition
- text classification
- feature set
- feature values
- classification algorithm
- features extraction
- feature extraction and classification
- image classification
- training data
- false positives
- x ray
- feature selection algorithms
- eeg signals
- supervised learning
- active learning
- training set
- textural features