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脑电Alpha波的混沌关联维数分析 被引量:5

Chaotic correlation dimension analysis of alpha waves in electroencephalograph
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摘要 通过研究了静息状态下枕部A lpha波信号的混沌关联维数的特征,在采集了被试的A lpha波信号后,分别采用互信息量法,伪最近邻域法和关联积分方法依次求得时间延迟τ,嵌入维数m和关联维数D2.结果显示枕部的A lpha波关联维数在睁眼时均值4.7,闭眼时均值4.2,二者有显著的差别(p<0.01).实验表明,在闭眼时视觉输入被阻断,大脑处于自治状态,脑电复杂程度下降,而睁眼时复杂程度较高。 This paper studies the chaotic correlation dimension of occipital alpha waves in electroencephalograph under rest condition. Based on the experimental alpha wave data, time delay τ , embedded dimension m and correlation dimension D2 are calculated using mutual information, false nearest neighbor and correlation integral methods, respectively. The result shows that the average correlation dimension is 4.7 when eyes open and 4.2 when eyes close, and their difference is notable (p 〈 0.01 ). Since visual input is blocked for closed eyes, brain remains self-organization and EEG complexity is lower than open eyes.
作者 李春胜 王宏
机构地区 东北大学
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2009年第3期477-480,共4页 Chinese Journal of Scientific Instrument
基金 国家自然科学基金(50435040)资助项目
关键词 Alpha波 混沌关联维数 互信息量 伪最近邻域 alpha wave chaotic correlation dimension mutual information false nearest neighbor
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参考文献13

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