On the impact of arousals on the performance of sleep and wake classification using actigraphy.
Pedro FonsecaXi LongJérôme FoussierRonald M. AartsPublished in: EMBC (2013)
Keyphrases
- sleep stage
- classification systems
- pattern recognition
- classification algorithm
- machine learning
- pattern classification
- classification method
- feature extraction
- classification rate
- image classification
- classification scheme
- feature space
- preprocessing
- data sets
- sleep apnea
- classification models
- feature vectors
- supervised learning
- support vector machine
- decision rules
- training data
- cross validation
- automatic classification
- class labels
- feature set
- classification process