A Feature Extraction Method to Improve the Classification Effect of N1 and REM in Sleep Periods.
Xiaobo LiPublished in: ISAIMS (2020)
Keyphrases
- feature vectors
- sleep stage
- feature set
- pattern recognition
- image classification
- feature values
- feature extraction
- eeg signals
- classification accuracy
- feature selection
- pattern classification
- machine learning
- decision trees
- training set
- text classification
- classification process
- classification scheme
- object classification
- preprocessing stage
- feature weights
- svm classification
- preprocessing
- classification systems
- feature representation
- feature space
- classification models
- classification method
- classification algorithm
- support vector machine
- class labels
- training samples
- dimensionality reduction
- improve the classification accuracy
- recognition rate
- feature analysis
- feature ranking
- input features
- machine learning algorithms
- svm classifier
- classification rate
- image features