EEG sub-bands based sleep stages classification using Fourier Synchrosqueezed transform features.
Tehreem Fatima ZaidiOmar FarooqPublished in: Expert Syst. Appl. (2023)
Keyphrases
- eeg signals
- sleep stage
- feature vectors
- feature set
- feature extraction
- classification accuracy
- classification method
- feature space
- pattern recognition
- extracted features
- spectral features
- image classification
- classification process
- svm classifier
- feature analysis
- extracting features
- hyperspectral images
- text classification
- brain computer interface
- classification models
- translation invariant
- discriminative features
- feature values
- eeg data
- feature representation
- image reconstruction
- high dimensionality
- class labels
- support vector
- decision trees
- benchmark datasets
- signal processing
- brain activity
- feature selection
- feature selection algorithms
- machine learning
- support vector machine
- knn
- multiscale
- training data
- image processing
- sleep apnea