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

Abstract:

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.

• Periodical: Advanced Materials Research (Volume 461)
• Pages: 411-413
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.461.411
• Online since: February 2012
• Authors: Jin De Zhu, Chin Feng Lin
• Keywords: Epilepsy, Hilbert-Huang Transform (HHT), IMFs-Energy, Intrinsic Mode Function (IMF), Spike Wave

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