EEG Based Sleep-Awake Classification Using Sample Entropy and Band Power Ratio.
Gangadharan K. SagilaA. Prasad VinodPublished in: TENCON (2019)
Keyphrases
- sleep stage
- eeg signals
- classification accuracy
- pattern recognition
- support vector machine
- automatic classification
- small sample
- decision trees
- feature extraction
- sleep apnea
- mutual information
- classification scheme
- pattern classification
- machine learning methods
- information theoretic
- image classification
- frequency band
- machine learning
- classification process
- eeg data
- classification models
- motor imagery
- feature selection
- power consumption
- face recognition
- cost sensitive
- classification method
- classification algorithm
- svm classifier
- classification systems
- training samples
- text classification
- signal processing
- rough sets
- wavelet transform
- healthy subjects
- high dimensional
- training data