AA Comparison of Dynamic Modeling Approaches for Epileptic EEG Detection and Classification.
Xiaomu SongLuis AguilarSuk-Chung YoonPublished in: EMBC (2020)
Keyphrases
- eeg signals
- eeg data
- epileptic seizures
- event related potentials
- detection algorithm
- classification accuracy
- machine learning
- automatic detection
- automatic classification
- classification scheme
- feature vectors
- training set
- text classification
- brain computer interface
- motor imagery
- detection method
- pattern recognition
- healthy subjects
- spectral features
- feature selection
- signal processing
- image classification
- blind source separation
- decision trees
- sleep stage
- feature extraction
- mammogram images
- preprocessing
- feature extraction and classification
- supervised learning
- event related
- brain activity
- classification algorithm
- dynamic environments
- anomaly detection
- training samples
- machine learning algorithms
- false alarms
- classification models
- pattern classification
- benchmark datasets
- independent component analysis
- machine learning methods