A novel time-varying modeling and signal processing approach for epileptic seizure detection and classification.
Qing-Hua WangHua-Liang WeiLina WangSong XuPublished in: Neural Comput. Appl. (2021)
Keyphrases
- signal processing
- epileptic seizures
- eeg signals
- pattern recognition
- classification accuracy
- support vector
- decision trees
- image processing
- digital mammograms
- feature vectors
- classification algorithm
- decision rules
- machine learning
- detection method
- detection algorithm
- feature extraction
- anomaly detection
- support vector machine svm
- image classification
- feature selection
- supervised learning
- object detection
- pattern classification
- support vector machine
- training set
- neyman pearson