Automatic Assessment of Pediatric Sleep Apnea Severity Using Overnight Oximetry and Convolutional Neural Networks.
Fernando Vaquerizo-VillarDaniel ÁlvarezLeila Kheirandish-GozalGonzalo C. Gutiérrez-TobalJavier Gomez-PilarAndrea CrespoFélix del CampoDavid GozalRoberto HorneroPublished in: EMBC (2020)
Keyphrases
- automatic assessment
- convolutional neural networks
- sleep apnea
- automatic analysis
- apnea hypopnea
- sleep stage
- obstructive sleep apnea
- convolutional network
- physiological parameters
- brain tumor segmentation
- lessons learned
- programming course
- programming assignments
- case study
- collaborative learning
- software engineering
- image registration
- high level