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用于改进脑电图分析的局部头部组织电导率估计

Regional head tissue conductivity estimation for improved EEG analysis.

作者信息

Ferree T C, Eriksen K J, Tucker D M

机构信息

Electrical Geodesics, Inc., Riverfront Research Park, Eugene, OR 97403, USA.

出版信息

IEEE Trans Biomed Eng. 2000 Dec;47(12):1584-92. doi: 10.1109/10.887939.

Abstract

We develop a method for estimating regional head tissue conductivities in vivo, by injecting small (1-10 microA) electric currents into the scalp, and measuring the potentials at the remaining electrodes of a dense-array electroencephalography net. We first derive analytic expressions for the potentials generated by scalp current injection in a four-sphere model of the human head. We then use a multistart downhill simplex algorithm to find regional tissue conductivities which minimize the error between measured and computed scalp potentials. Two error functions are studied, with similar results. The results show that, despite the low skull conductivity and expected shunting by the scalp, all four regional conductivities can be determined to within a few percent error. The method is robust to the noise levels expected in practice. To obtain accurate results the cerebrospinal fluid must be included in the forward solution, but may be treated as a known parameter in the inverse solution.

摘要

我们开发了一种在体内估计局部头部组织电导率的方法,即通过向头皮注入小电流(1 - 10微安),并测量密集阵列脑电图网络其余电极处的电位。我们首先推导了在人头四球体模型中头皮电流注入产生的电位的解析表达式。然后,我们使用多起始下山单纯形算法来寻找局部组织电导率,以使测量的和计算的头皮电位之间的误差最小化。研究了两个误差函数,结果相似。结果表明,尽管颅骨电导率低且预期头皮会产生分流,但所有四个局部电导率都能在百分之几的误差范围内确定。该方法对实际中预期的噪声水平具有鲁棒性。为了获得准确结果,正向解中必须包含脑脊液,但在逆解中可将其视为已知参数。

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