Features of Hierarchical Fuzzy Entropy of Stroke Based on EEG Signal and Its Application in Stroke Classification.
Fenglian LiCan WangXueying ZhangFengyun HuWenhui JiaYuzhou FanPublished in: BigDataService (2019)
Keyphrases
- eeg signals
- extracted features
- fuzzy entropy
- classification accuracy
- feature set
- feature vectors
- feature extraction
- feature space
- classification method
- signal processing
- classification models
- classification process
- pattern recognition
- support vector
- chinese characters
- class labels
- brain computer interface
- pattern classification
- co occurrence
- decision trees
- event related potentials
- computer vision
- real time
- eeg data
- kernel density estimators
- brain activity
- fuzzy sets
- image features
- decision making
- machine learning