Classification of the stages of Parkinson's disease using novel higher-order statistical features of EEG signals.
Seyed Alireza KhoshnevisRavi SankarPublished in: Neural Comput. Appl. (2021)
Keyphrases
- eeg signals
- higher order
- extracted features
- kernel density estimators
- signal processing
- classification accuracy
- brain computer interface
- motor imagery
- feature space
- healthy subjects
- brain activity
- classification method
- feature set
- feature vectors
- classification models
- electrical activity
- event related potentials
- feature extraction
- fold cross validation
- classification process
- eeg data
- pairwise
- machine learning
- pattern classification
- linear discriminant classifier
- gabor filters
- probability models
- decision rules
- image classification
- markov random field
- image analysis
- decision trees