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    Brain and Human Body Modeling 2020

    Computational Human Models Presented at EMBC 2019 and the BRAIN Initiative® 2019 Meeting

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    Contributor(s)
    Makarov, Sergey N. (editor)
    Noetscher, Gregory M. (editor)
    Nummenmaa, Aapo (editor)
    Language
    English
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    Abstract
    ​This open access book describes modern applications of computational human modeling in an effort to advance neurology, cancer treatment, and radio-frequency studies including regulatory, safety, and wireless communication fields. Readers working on any application that may expose human subjects to electromagnetic radiation will benefit from this book’s coverage of the latest models and techniques available to assess a given technology’s safety and efficacy in a timely and efficient manner. Describes computational human body phantom construction and application; Explains new practices in computational human body modeling for electromagnetic safety and exposure evaluations; Includes a survey of modern applications for which computational human phantoms are critical.
    URI
    https://library.oapen.org/handle/20.500.12657/41301
    Keywords
    Biomedical Engineering and Bioengineering; Biomedical Engineering/Biotechnology; Circuits and Systems; Biotechnology; Electronic Circuits and Systems; Electromagnetic Modeling for Electrical and Biological Systems; Anatomical Models for Radiation Dosimetry; Computational Human Phantoms; Computational Human Models; Electromagnetic safety and exposure evaluations; Open Access; Biomedical engineering; Electronics: circuits & components
    DOI
    10.1007/978-3-030-45623-8
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    2021
    Imprint
    Springer
    Classification
    Biomedical engineering
    Electronics: circuits and components
    Pages
    407
    Rights
    http://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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