Automated identification of sleep disorders using wavelet-based features extracted from electrooculogram and electromyogram signals.
Manish SharmaJay DarjiMadhav ThakrarU. Rajendra AcharyaPublished in: Comput. Biol. Medicine (2022)
Keyphrases
- physiological data
- automatically extracted
- physiological signals
- extracted features
- eeg signals
- image features
- extracting features
- sleep stage
- characteristic features
- feature vectors
- low level
- data sets
- independent component analysis
- information content
- co occurrence
- false positives
- principal component analysis
- multiresolution
- feature space
- image processing
- acoustic signals
- sleep apnea
- neural network