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Vol. 160, Issue 12, December 2013, pp. 184-189

 

Bullet

 

Wavelet Entropy and Complexity Analysis for Drinkers' EEG
 
1 Jiufu LIU, 2 Shuyan WU, 1 Zhengqian WANG, 1 Zhe CHEN

1 College of Automation, Nanjing University of Aeronautics and Astronautics, 210016, China

2 Department of Information, Henan University of Animal Husbandry Economy, 450011, China

1 Tel.: 13813989877

1 E-mail: liujiufujs@sina.com

 

Received: 16 September 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems

 

Abstract: This paper investigates the influence of alcohol on brain complexity. Considering electroencephalogram (EEG) has the nonlinear dynamics characteristic of time-varying and non-stationary, the wavelet entropy (WE) analysis is introduced. The EEG data of drinkers' and normal people's is analyzed using the wavelet entropy. The results show that the EEG wavelet entropy of drinkers' is markedly greater than the EEG wavelet entropy of normal people's, The EEG complexity of drinkers' is higher and the brain of drinkers' is in a more chaotic state.

 

Keywords: EEG, Wavelet transform, Wavelet entropy, Complexity.

 

 

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