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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/37592

Title: Analyzing Spike I Wave Electroencephalogram Signals for Epilepsy Based on Hilbert-Huang Transformation
Authors: Zhu, Jin-De
Chin-Feng Lin
Contributors: 國立臺灣海洋大學:電機工程學系
Keywords: Hilbert transforms
electroencephalography
medical disorders
medical signal processing
neurophysiology
time-frequency analysis
total energy
Date: 2014-04
Issue Date: 2016-03-28T05:55:21Z
Publisher: Bioelectronics and Bioinformatics (ISBB)
Abstract: Abstract:In this paper, we use the Hilbert-Huang transform (HHT) analysis method to explore the time-frequency characteristics of spike waves for epilepsy symptoms. We obtained a sample of spike I wave and non-spike waves for HHT decomposition using a number of intrinsic mode functions of the Hilbert transform (HT) to determine the instantaneous spectrum, marginal spectrum, and Hilbert energy spectrum. We decomposed a number of intrinsic mode functions, the instantaneous spectrum and the Hilbert energy spectrum and compared the differences between spike and non-spike waves. The analysis results showed that the ratios of the normal wave to the referred total energy for IMF1, IMF2, and the residual function exceeded 10%. Furthermore, the ratios of the energy of the energy for IMF1, IMF2, IMF3 and the residual function of Spike I to their total energy also exceeded 10%. The ratios of the energy of IMF3 in the d band to its referred total energy for the EEG signal without spike wave, and of Spike I waves were 4.72%, and 6.75%, respectively. The ratios of the energy of IMF3 in the d band to its referred total energy for the EEG signal without spike wave is lower than that of the energy of IMF3 in the ν band to its referred total energy for the spike I wave.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/37592
Appears in Collections:[電機工程學系] 期刊論文

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