Utilizing photophlethysmography signal features and implementing a decision tree to determine sleep cycles-non sleep cycles.
Ferda BozkurtMehmet Recep BozkurtMuhammed Kursad UcarCahit BilginEtem KoklukayaPublished in: SIU (2016)
Keyphrases
- decision trees
- sleep stage
- feature space
- feature construction
- information gain
- feature extraction
- co occurrence
- feature set
- signal processing
- classification models
- training set
- obstructive sleep apnea
- sleep apnea
- logistic regression
- non stationary
- naive bayes
- text categorization
- image features
- object recognition
- support vector