Separating Deep and Shallow Dipole Sources Using Higher Spatial Frequency Components of the EEG

张彤; 杨福生; 唐庆玉

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Separating Deep and Shallow Dipole Sources Using Higher Spatial Frequency Components of the EEG

更新时间：2025-12-08

- Separating Deep and Shallow Dipole Sources Using Higher Spatial Frequency Components of the EEG
- Acta Electronica Sinica Issue 7, (1996)
- 作者机构：
  
  清华大学电机系
- 作者简介：
- 基金信息：
- DOI：
  CLC： R741.044
- Published：1996
- 稿件说明：
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[1]张彤,杨福生,唐庆玉.利用脑电空间高频分量分离深、浅层偶极子源[J].电子学报,1996(07):83-86.

张彤, 杨福生, 唐庆玉. Separating Deep and Shallow Dipole Sources Using Higher Spatial Frequency Components of the EEG[J]. Acta Electronica Sinica, 1996, (7).
[1]张彤,杨福生,唐庆玉.利用脑电空间高频分量分离深、浅层偶极子源[J].电子学报,1996(07):83-86. DOI：

张彤, 杨福生, 唐庆玉. Separating Deep and Shallow Dipole Sources Using Higher Spatial Frequency Components of the EEG[J]. Acta Electronica Sinica, 1996, (7). DOI：

摘要

从头皮观测脑电中把由深层源产生的部分与浅层源产生的部分分开，据以观察大脑内的深层电活动细节是在理论和临床上有重要意义的课题。本文根据对深、浅层偶极子源在头皮上产生电位的空间频率分析，提出利用脑电的空间高频分量对浅层源定位，进而把浅层源产生的电位从脑电中分离出去的方法，并将Ｍａｒｑｕａｒｄｔ优化算法由空域推广到空频域。仿真实验表明，此法可以较准地定位浅层源，从而有效地把脑电中深、浅层源的贡献区分开来。

Abstract

To separate the EEG measured on the scalp into the parts generated by deep and shallow dipole sources respectively is a subject of great significance both theoretically and clinically. Based on the analysis of the spatial frequency of EEG

a method is proposed in this paper to solve this problem in two steps.For the first step

the shallow dipoles are localized by the higher spatial frequency components and for this purpose

a frequency domain Marquardt algorithm is derived.Then

in the second step

the electrical activities contributed by the deep dipoles are revealed after substraction of the potentials generated by shallow dipoles from the measured EEG. Computer simulations show that the shallow sources can be localized accurately by inversion in the frequency domain with higher frequency components and the potentials generated by deep and shallow dipoles can be separated effectively.

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