Estimation of Quiet Sleep in Preterm and Full-Term Newborns Using Machine Learning Algorithms Based on Cardio-Respiratory and Motion Signals.
Houda JebbariSandie CabonPatrick PladysGuy CarraultFabienne PoréePublished in: CinC (2023)
Keyphrases
- machine learning algorithms
- sleep stage
- benchmark data sets
- learning algorithm
- decision trees
- machine learning
- predictive accuracy
- machine learning methods
- optical flow estimation
- sleep apnea
- motion model
- motion estimation
- learning tasks
- machine learning approaches
- learning problems
- machine learning models
- optical flow
- rigid motion
- input features
- random forests
- control signals
- motion field
- learning models
- signal processing
- moving objects
- image sequences
- camera motion
- standard machine learning algorithms
- eeg signals
- data sets
- statistical machine learning
- motion artifacts