Development of Automated Sleep Stage Classification System Using Multivariate Projection-Based Fixed Boundary Empirical Wavelet Transform and Entropy Features Extracted from Multichannel EEG Signals.
Rajesh Kumar TripathySamit Kumar GhoshPranjali GajbhiyeU. Rajendra AcharyaPublished in: Entropy (2020)
Keyphrases
- eeg signals
- extracted features
- wavelet transform
- linear discriminant classifier
- feature extraction
- sleep stage
- feature set
- signal processing
- extracting features
- kernel density estimators
- healthy subjects
- feature space
- classification accuracy
- motor imagery
- brain computer interface
- classification method
- eeg data
- svm classifier
- automated classification
- support vector machine svm
- image coding
- information theoretic
- multiscale
- feature vectors
- machine learning
- electrical activity
- pattern recognition
- textural features
- information content
- co occurrence
- image classification
- object recognition
- image compression
- support vector
- positive and negative
- texture features
- face recognition
- feature selection