An HHT-Based Time-Frequency Scheme for Analyzing the EEG Signals of Clinical Alcoholics

Chin-Feng Lin (Editor)
Department of Electrical Engineering, National Taiwan Ocean University, Keelung, Taiwan

Shan-Wen Yeh (Editor)
National Taiwan Ocean University, Keelung, Taiwan, and others

Shun-Hsyung Chang, PhD (Editor)
Department of Microelectronic Engineering, National Kaohsuing University of Science and Technology, Kaohsuing, Taiwan

Tsung-Ii Peng (Editor)
National Taiwan Ocean University, Keelung, Taiwan, and others

Yu-Yi Chien (Editor)
National Taiwan Ocean University, Keelung, Taiwan, and others

Series: Substance Abuse Assessment, Interventions and Treatment
BISAC: PSY038000

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Volume 10

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Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick

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This book discusses the application of a Hilbert-Huang transformation (HHT)-based time-frequency scheme to the analysis of the FP1 electroencephalogram (EEG) signals of clinical alcoholic and normal observers. Also discussed herein is the time-frequency characteristics of clinical FP1 EEG signals recorded from normal and alcoholic observers watching a picture. This book describes how research has been extended to analyze clinical FP1 EEG signals recorded from normal and alcoholic observers watching two different pictures. The HHT is one of the major time-frequency analysis schemes and is suitable for the analysis of local time signals. (Imprint: Nova)

Abstract

I. Introduction

II. The Hilbert-Huang Transformation Concept

III. Simulation Results

IV. Conclusion

Acknowledgements

Reference

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