Feature Selection for the Detection of Sleep Apnea using Multi-Bio Signals from Overnight Polysomnography.
Xilin LiAhmed Al-AniSai-Ho LingPublished in: EMBC (2018)
Keyphrases
- feature selection
- sleep apnea
- sleep stage
- signal detection
- detection method
- automatic detection
- object detection
- signal processing
- detection accuracy
- phase locked
- detection rate
- false positives
- detection algorithm
- text categorization
- anomaly detection
- automatic analysis
- low signal to noise ratio
- pattern recognition
- independent component analysis
- microarray data
- model selection
- feature selection algorithms
- mutual information
- classification accuracy
- face recognition
- machine learning