An Investigation of Acoustical and Signal Processing Techniques for Classification, Diagnosis and Monitoring of Breathing Abnormalities in Sleep.
Sandra Morales CerveraDragana NikolicRobert AllenPublished in: MobiHealth (2010)
Keyphrases
- sleep stage
- breast cancer diagnosis
- support vector machine svm
- decision trees
- feature selection
- sleep apnea
- eeg signals
- pattern recognition
- preprocessing
- feature vectors
- classification accuracy
- pattern classification
- monitoring system
- text classification
- automatic classification
- classification algorithm
- data sets
- supervised learning
- feature extraction
- training samples
- benchmark datasets
- class labels
- image classification
- signal processing
- feature space
- image processing
- neural network
- neurological disorders
- real time
- obstructive sleep apnea