MASC: Automatic Sleep Stage Classification Based on Brain and Myoelectric Signals.
Yuta SuzukiMakito SatoHiroaki ShiokawaMasashi YanagisawaHiroyuki KitagawaPublished in: ICDE (2017)
Keyphrases
- sleep stage
- sleep apnea
- eeg signals
- pattern recognition
- classification accuracy
- supervised learning
- automatic classification
- eeg data
- physiological parameters
- feature extraction
- electrical activity
- feature space
- training samples
- classification models
- classification algorithm
- classification rules
- pattern classification
- acoustic signals
- class labels
- brain images
- classification systems
- semi automatic
- data sets
- machine learning algorithms
- text classification
- image classification
- signal processing
- multi class
- support vector machine
- preprocessing
- feature selection
- neural network