From Pulses to Sleep Stages: Towards Optimized Sleep Classification Using Heart-Rate Variability.
Pavlos TopalidisSebastian BaronDominik P. J. HeibEsther-Sevil EiglAlexandra HinterbergerManuel SchabusPublished in: Sensors (2023)
Keyphrases
- sleep stage
- heart rate variability
- eeg signals
- sleep apnea
- heart rate
- pattern recognition
- classification accuracy
- spectral analysis
- machine learning
- feature space
- feature selection
- classification method
- training set
- decision trees
- svm classifier
- support vector machine svm
- feature extraction
- classification algorithm
- rough set theory
- ensemble methods
- supervised learning
- support vector machine