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논문검색

Complexity Comparison for Drinkers' and Normal People's EEG Using Wavelet Entropy

원문정보

Jiufu Liu, Lei Gao, Zaihong Zhou, Haiyang Liu, Zhengqian Wang, Wenyuan Liu, Jianyong Zhou

보안공학연구지원센터(IJHIT) International Journal of Hybrid Information Technology Vol.8 No.8 2015.08 pp.47-56
피인용수 : 0건 (자료제공 : 네이버학술정보)

초록

영어

This paper investigates the influence of alcohol on brain complexity. Considering electro-encephalogram (EEG) has the nonlinear dynamics characteristic of time-varying and non-stationary, we introduce the wavelet entropy (WE) analysis. We denoise EEG signal by using wavelet decomposition, then calculate the wavelet entropy of the denoised signal and analyze the nonlinear complexity. In 64 conductive poles experiments and in different stimulus experiments for FP2 electrode's EEG, the drinkers' EEG wavelet entropy is greater than normal people's. The wavelet entropy of every conductive pole of drinkers’ or normal persons’ is inconformity.

목차

Abstract
 1. Introduction
 2. Wavelet Entropy
  2.1. Wavelet Transform
  2.2. Wavelet Energy
  2.3. Wavelet Entropy
 3. WE Performances to Nonlinear Signals
 4. Application Examples
  4.1. Experiment Data
  4.2. Experiment Results and Analysis
 5. Conclusion
 Acknowledgements
 References

키워드

저자정보

  • Jiufu Liu College of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Lei Gao Department of Information Management, Henan Information and Statistics Vocational College, Zhengzhou 450008, China
  • Zaihong Zhou School of Information Engineering, Guangdong Medical College, Dongguan 523808, China
  • Haiyang Liu College of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Zhengqian Wang College of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Wenyuan Liu College of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Jianyong Zhou College of Electronic Science and Engineering, Southeast University, Nanjing 210096, China

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자료제공 : 네이버학술정보

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