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Estimation Method of Abdominal Fat Thickness by Microwave

  • Nobuaki Tanaka
  • Takahiro AoyagiEmail author
Conference paper
  • 41 Downloads
Part of the EAI/Springer Innovations in Communication and Computing book series (EAISICC)

Abstract

An inexpensive non-contact abdominal skin fat measurement method using microwave is proposed in this paper. The proposed method is based on the waveguide penetration method which has been used to analytically estimate the dielectric properties of the materials. As the dielectric constant of fat is largely different from that of muscle and other human tissues, it is expected that the amount of abdominal fat is estimated by dielectric property measurement. Since human abdomen has very complicated shape, it is not possible to analytically estimate dielectric constant. In this paper, a novel fat thickness estimation method using machine learning technique with measured microwave scattering coefficients is proposed. As a preliminary consideration, numerical simulations with simplified condition of measurement are performed and a fat thickness estimation model using neural network was created. As a result, it is successfully shown that the method can be used to estimate abdominal skin fat thickness in certain accuracy.

Keywords

Healthcare Fat thickness Microwave Measurement Neural network 

Notes

Acknowledgement

This work was supported by JSPS KAKENHI Grant Number 15K06054.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Tokyo Institute of TechnologyTokyoJapan

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