Detection and Classification of Sleep-Disordered Breathing Using Acoustic Respiratory Input Impedance and Nasal Pressure.
Holger SteltnerRichard StaatsMichael VogelChristian VirchowHeinrich MatthysJosef GuttmannJens TimmerPublished in: ISMDA (2000)
Keyphrases
- sleep stage
- pattern recognition
- feature extraction
- pattern classification
- classification accuracy
- detection method
- sleep apnea
- automatic classification
- automatic detection
- classification method
- support vector machine svm
- machine learning
- false positives
- classification algorithm
- image classification
- feature space
- class labels
- neyman pearson
- feature selection
- detection algorithm
- support vector machine
- motion compensation
- feature vectors
- training set