A HHT-based time frequency analysis scheme for clinical alcoholic EEG signals

  • Authors:

  • Chin-Feng Lin;Shan-Wen Yeh;Yu-Yi Chen;Tsung-Ii Peng;Jung-Hua Wang;Shun-Hsyung Chang

  • Affiliations:

  • Department of Electrical Engineering, National Taiwan-Ocean University, Keelung, Taiwan;Department of Electrical Engineering, National Taiwan-Ocean University, Keelung, Taiwan;Department of Neurological Division, Chang Cung Memorial Hospital, Keelung, Taiwan;Department of Neurological Division, Chang Cung Memorial Hospital, Keelung, Taiwan;Department of Electrical Engineering, National Taiwan-Ocean University, Keelung, Taiwan;Department of Microeletronic Engineering, National Kaohsuing Marine University, Kaohsiung, Taiwan

  • Venue:
  • MUSP'09 Proceedings of the 9th WSEAS international conference on Multimedia systems & signal processing
  • Year:
  • 2009

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Abstract

In this paper, a Hilbert-Huang Transformation (HHT)-based time frequency scheme is applied to the analysis of clinical alcoholic and normal control FP1 electroencephalogram (EEG) signals. The differences in the responses of the EEG signals, the intrinsic mode function (IMF) and the Hilbert spectrum between the simulation results of the clinical EEG signals of the alcoholic and control groups are discussed. When comparing the clinical EEG signals of the alcoholic and control groups, the EEGs of the control group of picture observers did not appear to indicate significantly larger voltage. The EEG signals of the alcoholic group in the experiment suggested that when they were exposed to the stimulus, brain cells were stimulated and emitted higher voltage.