Assessment of Airflow and Oximetry Signals to Detect Pediatric Sleep Apnea-Hypopnea Syndrome Using AdaBoost.
Jorge Jiménez-GarcíaGonzalo C. Gutiérrez-TobalMaría GarcíaLeila Kheirandish-GozalAdrián Martín-MonteroDaniel ÁlvarezFélix del CampoDavid GozalRoberto HorneroPublished in: Entropy (2020)
Keyphrases
- sleep stage
- apnea hypopnea
- sleep apnea
- obstructive sleep apnea
- detection method
- automatic detection
- face detection
- detection algorithm
- multi class
- object detection
- support vector
- automatic analysis
- signal processing
- learning algorithm
- adaboost algorithm
- physiological parameters
- intrusion detection
- training data
- face recognition
- feature selection
- computer vision