Journal of Electronic Measurement and Instrumentation. 2014, (09)

Research of cloud model for visceral fat estimation based on bioelectrical impedance analysisChinese Full Text

Zhu Chenghui;Liu Chang;Wang Jianping;Li Weitao;School of Electrical Engineering and Automation,Hefei University of Technology;

Abstract: There is strong nonlinear relationship between viscera fat area（ VFA） and the impedance of human body abdomen and subcutaneous abdominal impedance. So the model of visceral fat estimation was set up by a wavelet network cloud model（ WNCM）. According to the eight-electrode method,the input of model was constituted by the body abdominal shape feature and characteristics of population attributes and two impedances. Based on different conditions of input,the input membership clouds were set up and carried out fuzzy inference by the establishment of corresponding rule. The network was build that was corresponding to the input of the wavelet function as the basis function network,and used weighted average of the wavelet neural network output of the input membership cloud fuzzy reasoning output,to predict VFA. After identification and training of parameters of the model,using the trained model of VFA predicts those person measured. The results show that the model has strong ability of nonlinear function approximation,and the prediction effect of VFA has obvious improvement than the statistical regression model.

Keywords：

wavelet neural cloud model; viscera fat area; impedance of human body abdomen; subcutaneous ab-dominal impedance; fuzzy inference;

DOI：
10.13382/j.jemi.2014.09.005
Series：
Subject：
Classification Code：
R441;TP183

Mobile Reading

Read on your phone instantly

Step 1
Scan QR Codes

"Mobile CNKI-CNKI Express" App

Step 2
Open“CNKI Express”

and click the scan icon in the upper left corner of the homepage.

Step 3
Scan QR Codes

Read this article on your phone.
HTML
CAJ Download
PDF Download

Contents

Research of cloud model for visceral fat estimation based on bioelectrical impedance analysisChinese Full Text

Zhu Chenghui;Liu Chang;Wang Jianping;Li Weitao;School of Electrical Engineering and Automation,Hefei University of Technology;

Read on your phone instantly

Citation Network

Related Literature