Classification of seizure based on the time-frequency image of EEG signals using HHT and SVM
A method using combined HHT and SVM is proposed for seizure detection. The time-frequency image based on HHT is employed for signal analysis. The statistical features of histogram are extracted for SVM classification. The best average classification accuracy over ten trails is 99.125%.
time-frequency image electroencephalogram (eeg) signal hilberthuang transform support vector machine seizure classification