Data-Driven Multimodal Sleep Apnea Events Detection - Synchrosquezing Transform Processing and Riemannian Geometry Classification Approaches.
Tomasz M. RutkowskiPublished in: J. Medical Syst. (2016)
Keyphrases
- data driven
- sleep apnea
- sleep stage
- object detection
- event detection
- machine learning
- obstructive sleep apnea
- decision trees
- pattern recognition
- feature space
- support vector machine svm
- machine learning algorithms
- machine learning methods
- automatic analysis
- discriminative classifiers
- real time
- neural network
- multi modal
- image classification
- image processing
- feature selection
- detection method
- supervised learning
- pattern classification
- classification accuracy
- brain image analysis
- classification method
- medical images
- multi class classification
- multi class
- soccer video
- three dimensional