Estimation Method of Abdominal Fat Thickness by Microwave
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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.
KeywordsHealthcare Fat thickness Microwave Measurement Neural network
This work was supported by JSPS KAKENHI Grant Number 15K06054.
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