Interleaving distribution of multifractal strength of 16-channel EEG signals

WANG Wei; NING Xinbao; WANG Jun; ZHANG Sheng; CHEN Jie; LI Lejia

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Interleaving distribution of multifractal strength of 16-channel EEG signals

机译：16通道脑电信号多重分形强度的交织分布

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摘要

Multifractal characteristics of 16-channel human electroencephalogram (EEG) signals under eye-closed rest are analyzed for the first time. The result shows that the EEGs from the different sites on the scalp have different multifractal characteristics and the multifractal strength value Δα exhibits a kind of interleaving and left-right opposite distribution on scalp. This distribution rule is consistent with the localization of function and the lateralization theory in physiology. So Δα can become an effective parameter to describe the brain potential character. And such a Δα stable distribution rule on sites of the scalp means a classic cerebral cortex active state.

机译：首次分析了闭眼休息下16通道人体脑电图（EEG）信号的多重分形特征。结果表明，来自头皮不同部位的脑电图具有不同的多重分形特征，并且多重分形强度值Δα在头皮上表现出一种交织和左右相反的分布。这种分布规律与生理学中功能的定位和偏侧化理论是一致的。因此，Δα可以成为描述脑电势特征的有效参数。而且，这种在头皮部位的稳定分布规则意味着经典的大脑皮层活动状态。

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来源
《Chinese science bulletin》 |2003年第16期|p.1700-1703|共4页
作者
WANG Wei; NING Xinbao; WANG Jun; ZHANG Sheng; CHEN Jie; LI Lejia;
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作者单位

Institute for Biomedical Electronic Engineering, institute of Acoustics and Department of Electronic Science & Engineering, Nanjing University, Nanjing 210093, China;

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正文语种 eng
中图分类自然科学现状及发展;
关键词
multifractal; EEG; brain; nonlinear dynamics;

机译：多重分形;脑电图;脑;非线性动力学;

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6. Rolandic alpha and beta EEG rhythms strengths are inversely related to fMRI‐BOLD signal in primary somatosensory and motor cortex [O] . Petra Ritter, Matthias Moosmann, Arno Villringer 2009

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Interleaving distribution of multifractal strength of 16-channel EEG signals

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