Classification of respiratory effort and disordered breathing during sleep from audio and pulse oximetry signals.
Brian R. SniderAlexander KainPublished in: ICASSP (2016)
Keyphrases
- sleep stage
- acoustic signals
- eeg signals
- sleep apnea
- signal processing
- classification accuracy
- pattern recognition
- supervised learning
- visual information
- classification algorithm
- audio signals
- acoustic signal
- image classification
- feature vectors
- feature extraction
- automatic classification
- support vector machine svm
- classification scheme
- motion compensation
- class labels
- machine learning
- text classification
- knn
- training data
- decision trees
- multimedia