Spectral Boundary Adaptation on Heart Rate Variability for Sleep and Wake Classification.
Xi LongPedro FonsecaReinder HaakmaRonald M. AartsJérôme FoussierPublished in: Int. J. Artif. Intell. Tools (2014)
Keyphrases
- heart rate variability
- spectral analysis
- classification accuracy
- support vector
- pattern recognition
- machine learning
- sleep stage
- eeg signals
- feature selection
- classification method
- heart rate
- support vector machine svm
- data mining
- feature vectors
- training set
- supervised learning
- image classification
- recognition rate
- image compression
- machine learning algorithms
- feature extraction