Successful incorporation of open-source software, controlled by in-house developed algorithms, provides a highly automated solution. In future, we intend to acquire SDA and EMA approval. The proposed computational platform is suitable for an accurate estimation of electric fields during DBS in scientific modeling studies. A qualitative estimation of different physics for the VCM shows an agreement with previous computational studies. The results demonstrate no significant deviation between the models in the electric potential distribution. The accuracy of a VCM, created and optimized by the platform, was estimated by comparison with a commercial software. The utilization of the platform is facilitated by a collection of predefined input setups and quick visualization routines. It will be shown how a Volume Conductor Model (VCM) is constructed and examined using Python-controlled algorithms for generation, discretization and adaptive mesh refinement of the computational domain, as well as for incorporation of heterogeneous and anisotropic properties of the tissue and allocation of neuron models. In this study, we propose a new open-source simulation platform that comprises computer-aided design and computer-aided engineering tools for highly automated evaluation of electric field distribution and neural activation during Deep Brain Stimulation (DBS).
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