MPCNN: A Novel Matrix Profile Approach for CNN-based Sleep Apnea Classification.
Hieu X. NguyenDuong V. NguyenHieu H. PhamCuong D. DoPublished in: CoRR (2023)
Keyphrases
- sleep apnea
- sleep stage
- pattern recognition
- classification accuracy
- feature selection
- preprocessing
- convolutional neural network
- pattern classification
- classification scheme
- decision trees
- classification systems
- feature extraction
- automatic classification
- neural network
- classification models
- classification rules
- decision rules
- generalization ability
- obstructive sleep apnea
- covariance matrix
- machine learning methods
- classification method
- signal processing
- support vector machine
- pairwise
- feature space
- support vector
- image processing
- machine learning