Automatic Detection and Classification of High-Frequency Oscillations in Depth-EEG Signals.
Nisrine JradAmar KachenouraIsabelle MerletFabrice BartolomeiAnca NicaArnaud BirabenFabrice WendlingPublished in: IEEE Trans. Biomed. Eng. (2017)
Keyphrases
- automatic detection
- high frequency
- eeg signals
- low frequency
- automatic classification
- high frequencies
- wavelet transform
- automatically detecting
- motor imagery
- high resolution
- signal processing
- brain computer interface
- wavelet coefficients
- subband
- discrete wavelet transform
- brain activity
- decision trees
- eeg data
- frequency domain
- electrical activity
- feature extraction
- low pass
- feature vectors
- frequency band
- wavelet domain
- high frequency components
- support vector
- low and high frequency
- kernel density estimators
- extracted features
- pattern recognition
- linear discriminant classifier