Classification of normal and depressed EEG signals based on centered correntropy of rhythms in empirical wavelet transform domain.
Hesam AkbariMuhammad Tariq SadiqAteeq Ur RehmanPublished in: Health Inf. Sci. Syst. (2021)
Keyphrases
- eeg signals
- transform domain
- brain computer interface
- eeg data
- brain activity
- spatial domain
- signal processing
- motor imagery
- machine learning
- wavelet transform
- extracted features
- discrete cosine transform
- kernel density estimators
- denoising
- pattern recognition
- support vector machine
- image data
- bit plane
- distributed video coding
- support vector
- classification accuracy
- multiresolution
- feature space
- neural network
- linear discriminant classifier