The addition of entropy-based regularity parameters improves sleep stage classification based on heart rate variability.
Md. AktaruzzamanM. MiglioriniMirja TenhunenSari-Leena HimanenAnna M. BianchiRoberto SassiPublished in: Medical Biol. Eng. Comput. (2015)
Keyphrases
- sleep stage
- heart rate variability
- classification accuracy
- sleep apnea
- classification method
- pattern recognition
- heart rate
- image classification
- text classification
- class labels
- support vector
- feature vectors
- feature extraction
- support vector machine
- decision trees
- classification algorithm
- spectral analysis
- feature set
- machine learning
- supervised learning
- feature selection