Intercomparison of the Averaged Induced Electric Field in Learning-Based Human Head Models Exposed to Low-Frequency Magnetic Fields-Reference-Cited by-同舟云学术

Intercomparison of the Averaged Induced Electric Field in Learning-Based Human Head Models Exposed to Low-Frequency Magnetic Fields

Published:2023 Issue: Volume:11 Page:38739-38752
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Diao Yinliang¹^ORCID,Rashed Essam A.²^ORCID,Giaccone Luca³^ORCID,Laakso Ilkka⁴^ORCID,Li Congsheng⁵^ORCID,Scorretti Riccardo⁶^ORCID,Sekiba Yoichi⁷^ORCID,Yamazaki Kenichi⁸^ORCID,Hirata Akimasa⁹^ORCID

Affiliation:

1. College of Electronic Engineering, South China Agricultural University, Guangzhou, China

2. Graduate School of Information Science, University of Hyogo, Kobe, Japan

3. Dipartimento Energia “G. Ferraris,”, Politecnico di Torino, Torino, Italy

4. Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland

5. China Academy of Information and Communications Technology, Beijing, China

6. Ecole Centrale de Lyon, CNRS, INSA Lyon, Université Claude Bernard Lyon 1, University of Lyon, Ampère, UMR5005, Villeurbanne, France

7. Denryoku Computing Center Ltd., Tokyo, Japan

8. Central Research Institute of Electric Power Industry, Yokosuka, Japan

9. Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10103878.pdf?arnumber=10103878

Reference48 articles.

1. Modelling fields induced in humans by 50/60 Hz magnetic fields: reliability of the results and effects of model variations

2. Confirmation of quasi-static approximation in SAR evaluation for a wireless power transfer system

3. Induced current densities from low-frequency magnetic fields in a 2 mm resolution, anatomically realistic model of the body

4. Development of accurate human head models for personalized electromagnetic dosimetry using deep learning

5. Induced electric fields in the MAXWEL surface-based human model from exposure to external low frequency electric fields

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