Automatic sleep-stage classification based on residual unit and attention networks using directed transfer function of electroencephalogram signals.
Dongrae ChoBoreom LeePublished in: Biomed. Signal Process. Control. (2024)
Keyphrases
- sleep stage
- transfer function
- eeg signals
- sleep apnea
- frequency band
- support vector
- eeg data
- feature extraction
- pattern recognition
- feature space
- dynamic range
- real time
- support vector machine svm
- brain computer interface
- image enhancement
- optimization algorithm
- co occurrence
- support vector machine
- evolutionary algorithm
- feature selection
- machine learning
- neural network