Sleep/Wake Classification Using Cardiorespiratory Features Extracted from Photoplethysmogram.
Parastoo DehkordiAinara GardeGuy Albert DumontJohn Mark AnserminoPublished in: CinC (2016)
Keyphrases
- extracted features
- extracting features
- classification accuracy
- feature extraction
- textural features
- classification method
- feature set
- feature vectors
- classification process
- sleep stage
- feature space
- eeg signals
- classification models
- high dimensionality
- decision trees
- feature analysis
- feature selection
- image classification
- false positives
- classification scheme
- class labels
- benchmark datasets
- pattern classification
- decision tree classifiers
- feature representation
- feature subset
- discriminative features
- features extraction
- classification algorithm
- svm classifier
- pattern recognition
- image features
- automatic classification
- preprocessing
- object recognition
- training set
- grey level co occurrence matrix
- train a support vector machine
- support vector
- gray level co occurrence matrix
- spectral features
- feature reduction
- feature weights
- feature construction
- svm classification
- semi supervised
- feature values
- co occurrence
- classification rate
- texture features