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An Object-Oriented Framework for Versatile Finite Element Based Simulations of Neurostimulation

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dc.contributor Mathematics
dc.creator Dougherty, Edward T.
dc.creator Turner, James C.
dc.date 2017-03-13T19:05:15Z
dc.date 2017-03-13T19:05:15Z
dc.date 2015-10-21
dc.date.accessioned 2023-03-01T18:54:08Z
dc.date.available 2023-03-01T18:54:08Z
dc.identifier Edward T. Dougherty and James C. Turner, “An Object-Oriented Framework for Versatile Finite Element Based Simulations of Neurostimulation,” Journal of Computational Medicine, vol. 2016, Article ID 9826596, 15 pages, 2016. doi:10.1155/2016/9826596
dc.identifier http://hdl.handle.net/10919/76641
dc.identifier https://doi.org/10.1155/2016/9826596
dc.identifier 2016
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/281797
dc.description Computational simulations of transcranial electrical stimulation (TES) are commonly utilized by the neurostimulation community, and while vastly different TES application areas can be investigated, the mathematical equations and physiological characteristics that govern this research are identical. The goal of this work was to develop a robust software framework for TES that efficiently supports the spectrum of computational simulations routinely utilized by the TES community and in addition easily extends to support alternative neurostimulation research objectives. Using well-established object-oriented software engineering techniques, we have designed a software framework based upon the physical and computational aspects of TES. The framework’s versatility is demonstrated with a set of diverse neurostimulation simulations that (i) reinforce the importance of using anisotropic tissue conductivities, (ii) demonstrate the enhanced precision of high-definition stimulation electrodes, and (iii) highlight the benefits of utilizing multigrid solution algorithms. Our approaches result in a framework that facilitates rapid prototyping of real-world, customized TES administrations and supports virtually any clinical, biomedical, or computational aspect of this treatment. Software reuse and maintainability are optimized, and in addition, the same code can be effortlessly augmented to provide support for alternative neurostimulation research endeavors.
dc.description Published version
dc.format application/pdf
dc.format application/pdf
dc.language en
dc.publisher Hindawi
dc.rights Creative Commons Attribution 4.0 International
dc.rights http://creativecommons.org/licenses/by/4.0/
dc.rights Copyright © 2016 Edward T. Dougherty and James C. Turner. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.title An Object-Oriented Framework for Versatile Finite Element Based Simulations of Neurostimulation
dc.title Journal of Computational Medicine
dc.type Article - Refereed
dc.type Text


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