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Realistic geometry Laplacian: a moderate spline estimation approach

机译:逼真的几何拉普拉斯算子:一种适度的样条估计方法

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摘要

A moderate scale approach of the realistic geometry spline Laplacian (MSL) for high-resolution EEG mapping was proposed. In this approach, firstly find the neighboring electrodes of one electrode on the scalp surface within a chosen radius, use their spatial coordinates and potentials to generate a regional spline interpolated potential distribution function, and then estimate the surface Laplacian of this electrode position using Laplacian differentiation operation. The effects of MSL and the global realistic geometry spline Laplacian (GSL) were compared by computer simulation studies using a realistic head model and by human visual evoked potential data. All the results show MSL can provide better results than that do by GSL.
机译:提出了一种用于高分辨率脑电图映射的逼真的几何样条拉普拉斯算子(MSL)的中等规模方法。在这种方法中,首先在选定的半径内找到头皮表面上一个电极的相邻电极,使用其空间坐标和电势生成区域样条插值电势分布函数,然后使用拉普拉斯微分估计该电极位置的表面拉普拉斯操作。通过使用真实头部模型的计算机模拟研究和人类视觉诱发电位数据,比较了MSL和整体真实几何样条Laplacian(GSL)的影响。所有结果表明,MSL可以提供比GSL更好的结果。

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