Hilbert-Huang Transform Based Intrinsic Mode Functions Energy of Spike Wave

The Hilbert-Huang transform (HHT) is a popular time-frequency analysis methods employed to decompose electric signals into intrinsic mode functions (IMFs). In this paper, we use HHT analysis to discuss the time-frequency characteristics of a spike wave for epilepsy symptoms. The differences between the IMFs and IMFs-energy distributions for the spike and normal waves are discussed. The ratios of the energy of the spike wave, IMF1 and the residual function to the total energy are 11.27% and 75.84%, respectively. In contrast, the ratios of the energy of the normal wave, IMF3, IMF4, and the residual function to the total energy are 10.99%, 43.31%, and 37.69%, respectively.