Sleep Stage Classification From Polysomnography Signals by Using Long Short Term Memory.
Hilal Sultan Duranoglu TunçIbrahim Yücel ÖzbekMehmet ErtugrulPublished in: SIU (2020)
Keyphrases
- sleep stage
- sleep apnea
- apnea hypopnea
- feature vectors
- classification scheme
- support vector machine svm
- pattern recognition
- classification accuracy
- machine learning
- text classification
- decision trees
- image processing
- feature selection
- neural network
- artificial neural networks
- image classification
- preprocessing
- model selection
- benchmark datasets
- decision rules
- classification models
- eeg signals
- decision making