Automated Analysis and Classification of Sleep Stages Based on Machine Learning Techniques from a Dual-Channel EEG Signal.
Santosh Kumar SatapathyD. LoganathanRupalin NandaPublished in: CoMSO (2020)
Keyphrases
- eeg signals
- automated analysis
- dual channel
- signal processing
- obstructive sleep apnea
- brain computer interface
- machine learning
- automated detection
- pattern recognition
- kernel density estimators
- machine learning methods
- eeg data
- machine learning algorithms
- classification accuracy
- feature vectors
- event related potentials
- decision trees
- decision rules
- extracted features
- similarity measure
- feature extraction
- face recognition
- neural network