Oxygen Saturation and RR Intervals Feature Selection for Sleep Apnea Detection.
Antonio G. Ravelo-GarcíaJan F. KraemerJuan L. Navarro-MesaEduardo Hernández-PérezJavier Navarro-EstevaGabriel Juliá-SerdáThomas PenzelNiels WesselPublished in: Entropy (2015)
Keyphrases
- feature selection
- sleep apnea
- false positives
- automatic analysis
- automatic detection
- text categorization
- feature extraction
- mutual information
- detection algorithm
- detection method
- obstructive sleep apnea
- feature weighting
- detection accuracy
- feature selection algorithms
- information gain
- event detection
- unsupervised learning
- feature set
- support vector machine
- feature space
- anomaly detection
- high dimensionality
- detection rate
- feature subset
- support vector
- image processing
- unsupervised feature selection
- high temperature
- feature selection and classification
- machine learning
- data sets