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    Brain and Human Body Modeling

    Computational Human Modeling at EMBC 2018

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    Contributor(s)
    Makarov, Sergey (editor)
    Horner, Marc (editor)
    Noetscher, Gregory (editor)
    Language
    English
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    Abstract
    This open access book describes modern applications of computational human modeling with specific emphasis in the areas of neurology and neuroelectromagnetics, depression and cancer treatments, radio-frequency studies and wireless communications. Special consideration is also given to the use of human modeling to the computational assessment of relevant regulatory and safety requirements. Readers working on applications that may expose human subjects to electromagnetic radiation will benefit from this book’s coverage of the latest developments in computational modelling and human phantom development to assess a given technology’s safety and efficacy in a timely manner. Describes construction and application of computational human models including anatomically detailed and subject specific models; Explains new practices in computational human modeling for neuroelectromagnetics, electromagnetic safety, and exposure evaluations; Includes a survey of modern applications for which computational human models are critical; Describes cellular-level interactions between the human body and electromagnetic fields.
    URI
    http://library.oapen.org/handle/20.500.12657/22869
    Keywords
    Engineering; Biomedical engineering; Electronic circuits; Microwaves; Optical engineering
    DOI
    10.1007/978-3-030-21293-3
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2019
    Classification
    Biomedical engineering
    Electronics: circuits and components
    Microwave technology
    Pages
    402
    Rights
    https://creativecommons.org/licenses/by/4.0
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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