Classification of EEG signals based on mean-square error optimal time-frequency features.
Rachele AndersonMaria SandstenPublished in: EUSIPCO (2018)
Keyphrases
- eeg signals
- signal processing
- extracted features
- feature extraction
- classification accuracy
- brain activity
- brain computer interface
- motor imagery
- feature set
- eeg data
- feature vectors
- feature subset
- kernel density estimators
- healthy subjects
- classification process
- feature space
- classification method
- svm classifier
- electrical activity
- classification models
- support vector machine
- machine learning
- positive and negative
- wavelet transform
- feature values
- empirical mode decomposition
- image features
- image processing