Sleep-wake stages classification and sleep efficiency estimation using single-lead electrocardiogram.
Mourad AdnaneZhongwei JiangZhonghong YanPublished in: Expert Syst. Appl. (2012)
Keyphrases
- sleep stage
- eeg signals
- sleep apnea
- automatic classification
- classification algorithm
- classification accuracy
- pattern classification
- pattern recognition
- classification rate
- feature vectors
- text classification
- decision rules
- classification systems
- naive bayes
- support vector machine svm
- image classification
- feature space
- preprocessing
- feature extraction
- classification process
- neural network
- classification scheme
- support vector
- density estimation
- classification models
- class labels
- accurate estimation
- estimation accuracy
- multistage
- cross validation
- svm classifier
- benchmark datasets
- text categorization
- support vector machine
- training data
- decision trees
- feature selection
- machine learning