A Comparison of Rule-Based and Machine Learning Methods for Classification of Spikes in EEG.
Wolfgang GanglbergerGerhard GritschManfred Martin HartmannFranz FürbassHannes PerkoAna M. SkupchTilmann KlugePublished in: J. Commun. (2017)
Keyphrases
- eeg signals
- classification accuracy
- pattern classification
- feature extraction
- feature vectors
- classification process
- pattern recognition
- text classification
- eeg data
- classification rate
- automatic classification
- neural network
- classification rules
- classification method
- rule based systems
- classification systems
- machine learning methods
- classification algorithm
- decision rules
- signal processing
- supervised learning
- support vector machine
- support vector
- cost sensitive
- classification models
- cross validation
- support vector machine svm
- confusion matrices
- sleep stage