Machine Learning-Based Automatic Detection of Central Sleep Apnea Events From a Pressure Sensitive Mat.
Hilda AzimiPengcheng XiMartin BouchardRafik GoubranFrank KnoefelPublished in: IEEE Access (2020)
Keyphrases
- automatic detection
- sleep apnea
- machine learning
- obstructive sleep apnea
- sleep stage
- physiological parameters
- automatic analysis
- automatically detecting
- pattern recognition
- machine learning methods
- machine learning algorithms
- learning algorithm
- data mining
- decision trees
- learning tasks
- automatic classification
- medial axis
- neural network