Sleep/wake classification via remote PPG signals.
Yawen ZhangMasanori TsujikawaYoshifumi OnishiPublished in: EMBC (2019)
Keyphrases
- sleep stage
- eeg signals
- independent component analysis
- classification method
- classification accuracy
- classification scheme
- machine learning
- support vector machine
- support vector
- feature selection
- acoustic signals
- decision trees
- training set
- feature vectors
- preprocessing
- signal processing
- sleep apnea
- text classification
- heart rate
- feature extraction
- automatic classification
- classification systems
- image classification
- extracted features
- unsupervised learning
- feature space
- pattern recognition
- computer vision