Discriminative methods based on sparse representations of pulse oximetry signals for sleep apnea-hypopnea detection.
Roman E. RolónL. D. LarrateguyLeandro E. Di PersiaRuben D. SpiesHugo Leonardo RufinerPublished in: Biomed. Signal Process. Control. (2017)
Keyphrases
- sleep stage
- sparse representation
- sleep apnea
- signal processing
- discriminative methods
- dimensionality reduction
- apnea hypopnea
- image classification
- high dimensional data
- test images
- object tracking
- image patches
- physiological parameters
- nearest neighbor
- generative model
- automatic analysis
- image representation
- bag of words
- object detection
- discriminative learning
- high dimensional
- data analysis
- pattern recognition
- learning algorithm