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大脑安静与积极思维状态下脑电波双谱分析6例报告 被引量:5

Bispectral Analysis of EEG Waves during Different Mental Activities
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摘要 目的 :利用脑电信号的双谱分析 ,探讨正常人不同心理活动状态下的脑电波改变。方法 :记录6例无精神障碍史男性在闭目安静与闭目心算状态下的脑电波 ,使用双谱分析技术进行分析。结果 :(1)闭目安静状态下 ,在双频域中的α波与θ波均出现明显的非线性相位耦合现象 ,有 4个比较明显的双谱谱峰 ;闭目心算状态下 ,出现大幅度的单一双谱谱峰。 (2 )闭目安静状态下出现互双谱谱峰 ,但与其自双谱的结构差异较大 ;闭目心算状态下 ,其互双谱结构出现单一的谱峰 ,与同样状态下的自双谱结构相似。结论 :(1)大脑积极思维时脑电波的有序性明显增大。 (2 )脑电信号双谱分析可以揭示出脑电图和脑电地形图无法获得的的信息。 Objective: To study the Changes of EEG waves during different mental activities of 6 males without mental disorders.Methods:The normal EEG waves in two kinds of mental states (rest with eyes closed and computing by heart with eyes closed) were analyzed in terms of bispectral estimation.Results:According to the bispectral analysis, the main bispectral peaks in bifrequency domain concentrated among αand θ rhythms when eyes were closed.One bispectral peak could only be found at 9.5Hz in bifrequency domain during the subject was computing in heart. The cross-bispectral of symmetrical channel EEG gave the similar structure with the bispectral structure when doing calculation by heart with eyes closed.Conclusion:The order of EEG is increased in mental activity, and the bispectral analysis may provide more information than the traditional methods in EEG analysis.
出处 《中国心理卫生杂志》 CSSCI CSCD 北大核心 2004年第6期392-394,共3页 Chinese Mental Health Journal
基金 国家自然科学基金项目 (60 2 71 0 2 3) 广东省自然科学基金重点项目 (0 2 1 2 64) 教育部重点课题 (0 2 1 1 0 ) 广东省医学科研课题(A2 0 0 3538)资助
关键词 脑电波 大脑 安静状态 脑电信号 状态 无精 正常人 积极思维 结论 心算 psychology EEG laboratory studies bispectral analysis cross-bispectrum mental activity
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  • 1B. Guignard. Recovery of bispectral index: isoflurane vs desflurane anesthesia. Anesthesiology, vol.89(3), 1998: 104-106.
  • 2T. Ning, J.D. Bronzino. Quadratic phase coupling as a quantitative measure for the developing hipocampal formation. Annuals of Biomedical Engineering, 1998, 26: 688-693.
  • 3J. Muthuswamy. Bispectral Analysis of EEG burst patterns from piglets during recovery from asphyxia. Proc. of 18th Ann. Inter. Conf. Of the IEEE Eng. in Medicine and Biology Society, 1996: 984-985.
  • 4Shen Minfen, Sun Lisha, Xu Chongtao, et al. Application of higher-order statistics for the analysis of electroencephalogram in different brain functional states. Proceedings of 6th International Conference on Neural Information Processing, 1999, Vol.Ⅱ: 6
  • 5M. R. Raghuveer and C. L. Nikias. Bispectrum estimation: a parametric approach. IEEE Trans on ASSP, Vol. ASSP-33, October, 1985..
  • 6C. L. Nikias and M. R. Raghuveer. Bispectrum estimation: a digital signal processing framework. Proceedings of the IEEE, vol. 75, No. 7, July 1987.
  • 7C.L.Nikias.Higher-order spectra analysis:a nonlinear signal processing framework.PTR Prentice Hall,Eaglewood Cliff,New Jersey,1993.

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