Multi-Branch Convolutional Neural Network for Automatic Sleep Stage Classification with Embedded Stage Refinement and Residual Attention Channel Fusion.
Tianqi ZhuWei LuoFeng YuPublished in: Sensors (2020)
Keyphrases
- convolutional neural network
- sleep stage
- pattern recognition
- classification accuracy
- classification algorithm
- face detection
- pattern classification
- decision trees
- decision rules
- support vector
- features extraction
- classifier combination
- classification process
- classification scheme
- multi channel
- semi automatic
- machine learning algorithms
- data fusion
- information fusion
- automatic classification
- model selection
- classification systems
- text classification
- fusion method
- image classification
- sleep apnea
- refinement process
- preprocessing stage
- support vector machine
- feature extraction
- classifier fusion
- classification models
- embedded systems
- classification rules
- training set
- feature vectors