Investigating the contribution of distance-based features to automatic sleep stage classification.
Ali Abdollahi GharbaliShirin NajdiJosé Manuel FonsecaPublished in: Comput. Biol. Medicine (2018)
Keyphrases
- sleep stage
- feature vectors
- classification accuracy
- features extraction
- feature set
- feature extraction
- classification process
- feature space
- classification method
- svm classifier
- classification models
- decision tree classifiers
- feature construction
- feature analysis
- image classification
- pattern recognition
- benchmark datasets
- extracted features
- decision trees
- image features
- feature values
- support vector machine
- low level
- co occurrence
- feature extraction and classification
- gender classification
- pattern classification
- discriminative features
- automatic classification
- class labels
- classification scheme
- model selection
- sleep apnea
- feature reduction
- support vector
- support vector machine svm
- feature selection
- feature selection algorithms
- false positives
- svm classification
- distance measure
- classification rules
- fully automatic
- irrelevant features
- outlier detection
- textural features
- dimensionality reduction
- classification algorithm
- category labels
- semi automatic
- euclidean distance