Machine Learning for Sleep Apnea Detection with Unattended Sleep Monitoring at Home.
Stein KristiansenKonstantinos NikolaidisThomas PlagemannVera GoebelGunn Marit TraaenBritt ØverlandLars AakerøyTove-Elizabeth HuntJan Pål LoennechenSigurd Loe SteinshamnChristina Holt BendzOle-Gunnar AnfinsenLars GullestadHarriet AkrePublished in: ACM Trans. Comput. Heal. (2021)
Keyphrases
- sleep apnea
- machine learning
- obstructive sleep apnea
- sleep stage
- monitoring system
- automatic analysis
- detection algorithm
- physiological parameters
- learning algorithm
- pattern recognition
- activity monitoring
- detection accuracy
- object detection
- detection rate
- detection method
- data mining
- automatic detection
- decision trees
- machine learning algorithms
- anomaly detection
- computer vision
- false alarms
- text classification
- real time
- text mining
- false positives
- knowledge discovery
- artificial intelligence
- event detection
- learning tasks
- knowledge acquisition
- information extraction
- machine learning approaches
- data analysis
- computer science
- support vector