Classification of High Frequency Oscillations in intracranial EEG signals based on coupled time-frequency and image-related features.
Fatma KrikidAhmad KarfoulSahbi ChaibiAmar KachenouraAnca NicaAbdennaceur KachouriRégine Le Bouquin-JeannèsPublished in: Biomed. Signal Process. Control. (2022)
Keyphrases
- low frequency
- high frequency
- eeg signals
- extracted features
- wavelet transform
- high resolution
- high frequency components
- frequency domain
- feature extraction
- signal processing
- image features
- wavelet decomposition
- high frequencies
- feature vectors
- classification accuracy
- image classification
- visual quality
- motor imagery
- subband
- discrete wavelet transform
- low and high frequency
- feature set
- wavelet coefficients
- image data
- blocking artifacts
- multiscale
- input image
- multi resolution analysis
- frequency band
- support vector machine svm
- similarity measure
- multiresolution
- support vector
- image segmentation
- eeg data
- low pass
- image compression
- pattern recognition
- image analysis
- gabor filters
- wavelet packet
- spectral features
- wavelet domain
- support vector machine
- image processing
- feature selection