Brain and Human Body Modeling 2020 = Computational Human Models Presented at EMBC 2019 and the BRAIN Initiative® 2019 Meeting

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Brain and Human Body Modeling 2020 = Computational Human Models Presented at EMBC 2019 and the BRAIN Initiative® 2019 Meeting

Aapo Nummenmaa - Personal Name; Gregory M. Noetscher - Personal Name; Sergey N. Makarov - Personal Name;

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.

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Series Title: -
Call Number: -
Publisher: : Springer Cham., 2021
Collation: XI, 407 hlm; ill., lamp.,
Language: English
ISBN/ISSN: 9783030456238
Classification: -
Content Type: text
Media Type: computer
Carrier Type: online resource
Edition: 1
Subject(s): Biomedical Engineering and Bioengineering
Circuits and Systems
Biomedical Engineering/Biotechnology
Specific Detail Info: 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
Statement of Responsibility: Sergey N. Makarov, Gregory M. Noetscher, Aapo Nummenmaa

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Cataloger: -
Source: https://link.springer.com/book/10.1007/978-3-030-45623-8
Validator: ida
Digital Object Identifier (DOI): https://doi.org/10.1007/978-3-030-45623-8
Journal Volume: -
Journal Issue: -
Subtitle: -
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