Facing High EEG Signals Variability during Classification Using Fractal Dimension and Different Cutoff Frequencies.
Rocio Salazar-VarasRoberto Antonio VázquezPublished in: Comput. Intell. Neurosci. (2019)
Keyphrases
- eeg signals
- fractal dimension
- fractal analysis
- fractal dimensions
- signal processing
- motor imagery
- box counting
- eeg data
- texture analysis
- extracted features
- linear discriminant classifier
- healthy subjects
- brain computer interface
- support vector machine svm
- image classification
- multiresolution
- feature space
- pattern recognition
- machine learning
- classification accuracy
- brain activity
- training set
- feature extraction
- epileptic seizures
- feature selection
- event related potentials
- kernel density estimators
- neural network