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International Conference on Intelligent Computing

ICIC 2011: Bio-Inspired Computing and Applications pp 514–520Cite as

Blind Testing of Quasi Brain Deaths Based on Analysis of EEG Energy

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Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 6840))

Abstract

This paper presents a power spectral pattern analysis method for quasi-brain-death EEG based on Empirical Mode Decomposition (EMD) under the condition of unknowing the clinical symptoms of patients. EMD method is a time-frequency analysis method for analyzing the nonlinear and non-stationary data. In this paper,we decompose a single-channel recorded EEG data into a number of components with different frequencies, we calculate the power spectral or energy of the decomposed components in a suitable frequency band. Based on the EEG power spectral analysis, the patients are classified into two categories: existence of the brain activities or absence of the brain activities. The experimental results illustrate the effectiveness of our proposed method.

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Author information

Authors and Affiliations

  1. Saitama Institute of Technology, 1690 Fusaiji, Fukaya-shi, Saitama, 369-0293, Japan

    Wei Zhou, Gang Liu, Qiwei Shi & Jianting Cao

  2. Huadong Hospital Affiliated, Fudan University, 221 Yanan West Rd, Shanghai, 200040, China

    Shilei Cui, Yina Zhou & Huili Zhu

  3. Brain Science Institute, Riken 2-1 Hirosawa, Wako-shi, Saitama, 351-0198, Japan

    Jianting Cao

  4. East China University of Science and Technology, 130 Meilong Rd, Shanghai, 200237, China

    Rubin Wang & Jianting Cao

Authors
  1. Wei Zhou
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  2. Gang Liu
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  3. Qiwei Shi
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  4. Shilei Cui
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  5. Yina Zhou
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  6. Huili Zhu
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  7. Rubin Wang
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  8. Jianting Cao
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Editor information

Editors and Affiliations

  1. School of Electronics and Information Engineering, Tongji University, 4800 Caoan Road, 201804, Shanghai, China

    De-Shuang Huang

  2. School of Computer and Communication Engineering, Zhengzhou University of Light Industry, No. 5, Dongfeng Road, Jinshui District, 450002, Zhengzhou, Henan, China

    Yong Gan

  3. School of Electrical, Computer & Telecommunications Engineering, University of Wollongong, 2522, P.O. Box, North Wollongong, NSW, Australia

    Prashan Premaratne

  4. School of Computer Science and Engineering, Inha University, 402-751, Inchon, Korea

    Kyungsook Han

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Zhou, W. et al. (2012). Blind Testing of Quasi Brain Deaths Based on Analysis of EEG Energy. In: Huang, DS., Gan, Y., Premaratne, P., Han, K. (eds) Bio-Inspired Computing and Applications. ICIC 2011. Lecture Notes in Computer Science(), vol 6840. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24553-4_68

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  • DOI: https://doi.org/10.1007/978-3-642-24553-4_68

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24552-7

  • Online ISBN: 978-3-642-24553-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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