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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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