Sleep apnea classification using least-squares support vector machines on single lead ECG.
Carolina VaronDries TestelmansBertien BuyseJohan A. K. SuykensSabine Van HuffelPublished in: EMBC (2013)
Keyphrases
- least squares support vector machine
- ls svm
- sleep stage
- sleep apnea
- support vector machine
- least squares
- decision trees
- pattern recognition
- feature extraction
- theoretical framework
- svm classifier
- image classification
- training set
- benchmark datasets
- machine learning algorithms
- model selection
- data fusion
- maximum likelihood
- training data