Chinese Journal of Tissue Engineering Research ›› 2010, Vol. 14 ›› Issue (43): 8077-8080.doi: 10.3969/j.issn.1673-8225.2010.43.025

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Approximate entropy changes under different mental states

Zhang Xin, Tian Xue-long, Wang Xian-fu   

  1. School of Bioengineering, Chongqing University, Chongqing  400030, China
  • Online:2010-10-22 Published:2010-10-22
  • About author:Zhang Xin★, Studying for master’s degree, School of Bioengineering, Chongqing University, Chongqing 400030, China zxrula@163.com
  • Supported by:

     the Subproject of Chongqing Science and Technology “Novel Medical Instrument”*

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Abstract:

BACKGROUND: Approximate entropy (ApEn) is a nonlinear dynamics that describes the signal complexity and regularity, and it can measure the complexity of the signal with less data.
OBJECTIVE: To investigate the changes of ApEn of electroencephalogram (EEG) under different mental states, and the application of ApEn for cognitive function research.
METHODS: EEG was recorded in 20 healthy young volunteers at five stages (eyes closed, eyes opened, recalled with eyes closed, mental arithmetic with eyes closed and pictures identification with eyes opened). ApEn was calculated for all subjects.
RESULTS AND CONCLUSION: ApEn values were higher in calculated and recalled with the eyes closed than eyes closed, and higher in pictures identification than eyes opened (P < 0.01). ApEn displayed a low level in all channels with eyes closed or opened, and was increases with thinking and memory state. In different mental states, the complexity of mental functions was different. ApEn methods are appropriate for the study of cognitive functions and can help understand the working mechanism of brain during mental activities.

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