Classification of wakefulness and anesthetic sedation using combination feature of EEG and ECG.
Bo-Ram LeeDong-Ok WonKwang-Suk SeoHyun Jeong KimSeong-Whan LeePublished in: BCI (2017)
Keyphrases
- feature vectors
- eeg signals
- classification accuracy
- feature set
- decision trees
- pattern recognition
- classification systems
- image processing
- feature space
- signal processing
- automatic classification
- pattern classification
- feature selection
- motor imagery
- irrelevant features
- feature representation
- machine learning algorithms
- image classification
- supervised learning
- support vector machine
- support vector
- machine learning
- classification algorithm
- support vector machine svm
- classification models
- image features
- input features
- eeg data
- sleep stage