Comparing Optimal and Commercially Available Bipolar and Tripolar Concentric Ring Electrode Configurations Using Finite Element Method Modeling Based on Their Finite Dimensions Models

O. Makeyev, Y. Ye-Lin, G. Prats-Boluda, J. Garcia-Casado
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Abstract

While finite element method modeling has been used to compare bipolar and tripolar concentric ring electrode configurations in the past it was based on the simplistic negligible dimensions model of the electrode. This study uses realistic finite dimensions models including novel optimal bipolar and tripolar configurations and directly compares them to bipolar configurations of the same size with dimensions corresponding to the commercially available CoDe® electrodes manufactured by Spes Medica. Moreover, it also compares bipolar and tripolar configurations of different sizes. In particular, optimal tripolar concentric ring electrode configuration is compared to a bipolar configuration consisting out of its central disc and middle ring only. Obtained results include relative and normalized maximum errors of Laplacian estimation. Compared to the optimal tripolar concentric ring electrode configuration, commercially available bipolar electrode of the same size corresponds to a median increase in Laplacian estimation errors of 120-146 times while its counterpart one third of its size corresponds to an increase of 15-18 times. Compared to the optimal bipolar configuration, commercially available bipolar electrode of the same size corresponds to a median increase in Laplacian estimation errors of 1.2 times. These results are consistent with previously obtained results based on the negligible dimensions models.
比较最佳和市售双极和三极同心圆电极配置使用有限元方法建模基于他们的有限维模型
虽然有限元方法建模过去已用于比较双极和三极同心圆电极结构,但它是基于电极的简化可忽略尺寸模型。本研究使用现实的有限尺寸模型,包括新颖的最佳双极和三极配置,并直接将它们与Spes Medica制造的商用CoDe®电极相同尺寸的双极配置进行比较。此外,它还比较了不同尺寸的双极和三极结构。特别地,最佳的三极性同心环电极配置与双极性配置相比,双极性配置仅由其中心圆盘和中间环组成。得到的结果包括拉普拉斯估计的相对最大误差和归一化最大误差。与最佳的三极同心圆电极配置相比,相同尺寸的市售双极电极对应的拉普拉斯估计误差中位数增加了120-146倍,而其尺寸的三分之一对应的拉普拉斯估计误差中位数增加了15-18倍。与最佳双极配置相比,相同尺寸的市售双极电极对应的拉普拉斯估计误差中位数增加了1.2倍。这些结果与先前基于可忽略维数模型的结果一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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