Fast Sleep Stage Classification Using Cascaded Support Vector Machines with Single-Channel EEG Signals.
Dezhao LiYangtao RuanFufu ZhengYan SuQiang LinPublished in: Sensors (2022)
Keyphrases
- eeg signals
- sleep stage
- single channel
- brain activity
- signal processing
- brain computer interface
- multi channel
- motor imagery
- eeg data
- support vector
- sleep apnea
- pattern classification
- support vector machine
- prior knowledge
- feature vectors
- pattern recognition
- independent component analysis
- noise reduction
- markov random field
- classification accuracy
- multiresolution
- feature space
- machine learning