Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree.
Hezam AlbaqamiGhulam Mubashar HassanAbdulhamit SubasiAmitava DattaPublished in: Biomed. Signal Process. Control. (2021)
Keyphrases
- automatic detection
- eeg signals
- gradient boosting
- feature extraction
- decision trees
- extracted features
- loss function
- base learners
- brain computer interface
- signal processing
- logistic regression
- machine learning algorithms
- feature vectors
- principal component analysis
- pattern classification
- support vector machine svm
- face recognition
- eeg data
- texture features
- machine learning
- image processing
- naive bayes
- image classification
- feature set
- pairwise
- random forest
- pattern recognition
- meta learning
- feature selection
- neural network
- multiresolution
- feature space
- support vector