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Forward Field Computation with OpenMEEG

机译:使用OpenMEEG进行正向字段计算

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摘要

To recover the sources giving rise to electro- and magnetoencephalography in individual measurements, realistic physiological modeling is required, and accurate numerical solutions must be computed. We present OpenMEEG, which solves the electromagnetic forward problem in the quasistatic regime, for head models with piecewise constant conductivity. The core of OpenMEEG consists of the symmetric Boundary Element Method, which is based on an extended Green Representation theorem. OpenMEEG is able to provide lead fields for four different electromagnetic forward problems: Electroencephalography (EEG), Magnetoencephalography (MEG), Electrical Impedance Tomography (EFT), and intracranial electric potentials (IPs). OpenMEEG is open source and multiplatform. It can be used from Python and Matlab in conjunction with toolboxes that solve the inverse problem; its integration within FieldTrip is operational since release 2.0.
机译:为了恢复在单个测量中产生脑电图和脑磁图的来源,需要现实的生理模型,并且必须计算精确的数值解。我们针对具有分段恒定电导率的头部模型,提出了OpenMEEG,它解决了准静态条件下的电磁正向问题。 OpenMEEG的核心包括对称边界元方法,该方法基于扩展的Green表示定理。 OpenMEEG能够为四个不同的电磁正向问题提供引导场:脑电图(EEG),磁脑电图(MEG),电阻抗层析成像(EFT)和颅内电位(IPs)。 OpenMEEG是开源和多平台的。它可以在Python和Matlab中与解决逆问题的工具箱结合使用。从2.0版开始,它就可以在FieldTrip中集成。

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