EEG-based Classification of Consciousness during Sedation Using Global Spectra Principal Components.
Seul-Ki YeomHwi-Jae KimKwang-Suk SeoHyun Jeong KimSeong-Whan LeePublished in: ACPR (2017)
Keyphrases
- principal components
- principal component analysis
- hyperspectral data
- feature set
- machine learning
- spectral data
- pattern recognition
- eeg signals
- principal components analysis
- dimension reduction
- feature extraction
- kernel principal component analysis
- classification accuracy
- support vector
- hyperplane
- signal processing
- sleep stage
- dimensionality reduction
- preprocessing
- support vector machine svm
- cross validation
- support vector machine
- feature vectors
- hyperspectral images
- feature space
- spectral features
- data mining
- model selection
- neural network
- pattern classification
- multivariate data
- feature selection
- computer vision