Computation of Induced Current Densities in the Human Body at Low Frequencies Due to Contact Electrodes Using the ADI-FDTD Method

Computation of Induced Current Densities in the Human Body at Low Frequencies Due to Contact Electrodes Using the ADI-FDTD Method
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DOI:
10.1109/temc.2009.2039482
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发表时间:
2010-03
影响因子:
2.1
通讯作者:
Vinit Singh;A. Ajeet;N. Kwatra;C. Cela;J. Ziriax;J. D’andrea;G. Lazzi
Vinit Singh;A. Ajeet;N. Kwatra;C. Cela;J. Ziriax;J. D’andrea;G. Lazzi
中科院分区:
计算机科学3区
文献类型:
--
作者:
Vinit Singh;A. Ajeet;N. Kwatra;C. Cela;J. Ziriax;J. D’andrea;G. Lazzi

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我们报告使用交替方向隐式(ADI)时域有限差分(FDTD)方法在D-H公式计算感应电流密度和招聘量在人体内由于接触电极的人电肌肉失能设备在低于200 kHz的频率。1 mm的计算模型分辨率已用于大多数人体模型,包括电极接触点附近的区域,而根据远离源的身体区域(例如下肢)的扩展网格方案,使用逐渐粗糙的分辨率高达5 mm。使用准静态假设,离散傅立叶变换已被用来平均的电场值在所需的频率比它们的时间周期短得多的时间。在人体中诱导的场值然后被获得为相对于源的比率,其可以根据幅度缩放。研究表明,ADI-FDTD方法可以用于低频大规模生物电磁问题的解决方案。结果表明,当使用准静态假设,傅立叶级数分解,和扩大网格,D-H ADI-FDTD可以是一个有效的计算生物电磁学工具。
We report the use of the alternating direction implicit (ADI) finite-difference time-domain (FDTD) method in a D-H formulation to compute induced current densities and recruitment volumes in the human body due to contact electrodes for human electromuscular incapacitation devices at frequencies below 200 kHz. A computational model resolution of 1 mm has been used for most of the human body model, including regions proximal to the electrode contact points, while a progressively coarser resolution up to 5 mm is utilized, according to an expanding grid scheme for body regions distant from the source, such as the lower extremities. Using quasi-static assumptions, discrete Fourier transforms have been used to average the electric field values at the desired frequencies for times much shorter than their time periods. The field values induced in the human body were then obtained as ratios with respect to the source, which can be scaled depending on the magnitude. This study suggests that the ADI-FDTD method can be used for the solution of low-frequency large-scale bioelectromagnetic problems. It is shown that, when used with quasi-static assumptions, Fourier series decomposition, and expanding grid, the D-H ADI-FDTD can be an effective computational bioelectromagnetics tool.