Sleep and Wake Classification With Actigraphy and Respiratory Effort Using Dynamic Warping.
Xi LongPedro FonsecaJérôme FoussierReinder HaakmaRonald M. AartsPublished in: IEEE J. Biomed. Health Informatics (2014)
Keyphrases
- sleep stage
- classification accuracy
- machine learning
- sleep apnea
- pattern recognition
- decision trees
- support vector
- pattern classification
- supervised learning
- image classification
- text classification
- classification scheme
- automatic classification
- decision rules
- class labels
- machine learning algorithms
- feature space
- preprocessing
- neural network
- data sets
- training samples
- support vector machine svm
- rough sets
- motion estimation
- cross validation
- support vector machine
- classification rules
- motion compensation
- image sequences
- supervised classification
- classification systems
- learning algorithm