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A Simple Absolute Estimate of Peak Eddy Currents Induced by Transcranial Magnetic Stimulation Using the GR Model

机译:使用GR模型的经颅磁刺激引起的峰值涡流的简单绝对估计。

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Although rigorous numerical modeling is a major and very reliable tool of transcranial magnetic stimulation (TMS) analyses, it requires significant computational resources and time to complete. Therefore, in certain cases, a quick analytical estimate for the peak TMS currents induced by the procedure would be very useful. For instance, maximum exposure due to currents induced in an operator's body, or eddy currents present in ancillary areas of the patient (e.g., the fetus of a pregnant woman) may be of interest. In such cases, a general simplified analytical solution that provides at least an upper absolute estimate of spatial eddy current distribution may be of value. In the present study, we suggest using an early model of Grandori and Ravazzani (GR model) related to an unbounded homogeneous space for that purpose. We formulate the model, implement it in software, and validate the model by comparison with a known numerical FEM solution. Finally, we apply the model in order to establish an upper absolute estimate for TMS eddy currents excited in a human body at various conditions.
机译:尽管严格的数值建模是经颅磁刺激(TMS)分析的主要且非常可靠的工具,但它需要大量的计算资源和时间才能完成。因此,在某些情况下,对由该程序引起的峰值TMS电流进行快速分析估计将非常有用。例如,由于在操作者体内感应的电流或在患者的辅助区域(例如,孕妇的胎儿)中存在的涡流而导致的最大暴露可能是令人感兴趣的。在这样的情况下,提供至少空间涡流分布的至少绝对绝对值的一般简化分析解决方案可能是有价值的。在本研究中,我们建议为此目的使用与无界同质空间有关的Grandori和Ravazzani的早期模型(GR模型)。我们制定模型,在软件中实施,然后通过与已知的数值有限元解决方案进行比较来验证模型。最后,我们应用该模型以建立在各种条件下在人体中激发的TMS涡流的绝对上限值。

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