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Analysis of spike waves in epilepsy using Hilbert-Huang transform

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Abstract

In this paper, we used the Hilbert-Huang transform (HHT) analysis method to examine the time-frequency characteristics of spike waves for detecting epilepsy symptoms. We obtained a sample of spike waves and nonspike waves for HHT decomposition by using numerous intrinsic mode functions (IMFs) of the Hilbert transform (HT) to determine the instantaneous, marginal, and Hilbert energy spectra. The Pearson correlation coefficients of the IMFs, and energy-IMF distributions for the electroencephalogram (EEG) signal without spike waves, Spike I, Spike II and Spike III sample waves were determined. The analysis results showed that the ratios of the referred wave and Spike III wave to the referred total energy for IMF1, IMF2, and the residual function exceeded 10 %. Furthermore, the energy ratios for IMF1, IMF2, IMF3 and the residual function of Spike I, Spike II to their total energy exceeded 10 %. The Pearson correlation coefficients of the IMF3 of the EEG signal without spike waves and Spike I wave, EEG signal without spike waves and Spike II wave, EEG signal without spike waves and Spike III wave, Spike I and II waves, Spike I and III waves, and Spike II and III waves were 0.002, 0.06, 0.01, 0.17, 0.03, and 0.3, respectively. The energy ratios of IMF3 in the δ band to its referred total energy for the EEG signal without spike waves, and of the Spike I, II, and III waves were 4.72, 6.75, 5.41, and 5.55 %, respectively. The weighted average frequency of the IMF1, IMF2, and IMF3 of the EEG signal without spike waves was lower than that of the IMF1, IMF2, and IMF3 of the spike waves, respectively. The weighted average magnitude of the IMF3, IMF4, and IMF5 of the EEG signal without spike waves was lower than that of the IMF1, IMF2, and IMF3 of spike waves, respectively.

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Acknowledgments

The authors acknowledge the support of the Center for Marine Bioscience and Biotechnology, National Taiwan Ocean University, and the Chang Cung Memorial Hospital, Keelung Branch Research Project 98529002 K8, and the valuable comments of the reviewers.

Author information

Authors and Affiliations

  1. Department of Electrical Engineering, National Taiwan Ocean University, Keelung, Taiwan, Republic of China

    Jin-De Zhu, Chin-Feng Lin & Jung-Hua Wang

  2. Department of Microeletronic Engineering, National Kaohsuing Marine University, Kaohsiung, Taiwan, Republic of China

    Shun-Hsyung Chang

  3. Department of Neurological Division, Chang Cung Memorial Hospital, Keelung Branch, Taiwan, Republic of China

    Tsung-Ii Peng & Yu-Yi Chien

Authors
  1. Jin-De Zhu

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  2. Chin-Feng Lin

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  3. Shun-Hsyung Chang

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  4. Jung-Hua Wang

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  5. Tsung-Ii Peng

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  6. Yu-Yi Chien

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Correspondence toChin-Feng Lin.

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