Estimation Method of Abdominal Fat Thickness by Microwave
Estimation Method of Abdominal Fat Thickness by Microwave
复制标题
微波估算腹部脂肪厚度的方法
DOI：
10.1007/978-3-030-29897-5_26
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
T. Aoyagi
中科院分区：
文献类型：
--
作者：
N. Tanaka;T. Aoyagi
提出了一种廉价的微波非接触式腹部皮肤脂肪测量方法。该方法是基于已被用来分析估计材料介电性质的波导穿透法。由于脂肪的介电常数与肌肉和其他人体组织的介电常数有很大的不同，因此有望通过介电特性测量来估计腹部脂肪的量。由于人体腹部具有非常复杂的形状，因此不可能对其介电常数进行解析估计。本文提出了一种基于机器学习技术的测量微波散射系数估计脂肪厚度的新方法。作为初步考虑，在简化测量条件下进行了数值模拟，并建立了基于神经网络的脂肪厚度估计模型。结果表明，该方法在估计腹部皮肤脂肪厚度时具有一定的准确性。
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.
影响因子：
3.5
作者：
Gabriel, S;Lau, RW;Gabriel, C
通讯作者：
Gabriel, C