An Evaluation of Cardiorespiratory and Movement Features With Respect to Sleep-Stage Classification.
Tim WillemenDorien Van DeunVincent VerhaertMarie VandekerckhoveVasileios ExadaktylosJohan VerbraeckenSabine Van HuffelBart HaexJos Vander SlotenPublished in: IEEE J. Biomed. Health Informatics (2014)
Keyphrases
- sleep stage
- feature vectors
- classification accuracy
- feature extraction
- classification models
- classification process
- feature set
- feature space
- pattern recognition
- svm classifier
- extracting features
- support vector machine svm
- class labels
- classification method
- classification scheme
- gender classification
- discriminative features
- pattern classification
- feature values
- feature analysis
- extracted features
- neural network
- machine learning approaches
- co occurrence
- sleep apnea
- face recognition
- feature construction
- classification rate
- benchmark datasets
- classification rules
- automatic classification
- data sets
- feature subset
- discriminating features
- movement patterns
- feature weights
- feature selection
- irrelevant features
- feature representation
- training data
- high dimensional
- high dimensionality
- image classification
- eeg signals
- text classification