基于SVM的9电极人体成分分析模型  

Nine electrodes human body composition model based on SVM

作　　者：常甜甜 霍旭阳[2] CHANG Tiantian;HUO Xuyang(School of Science,Xi'an University of Posts and Telecommunications,Xi'an 710121,China;Jilin Medical University,Department of Biomedical Engineering,Jilin 132013,China)

机构地区：[1]西安邮电大学理学院,陕西西安710121 [2]吉林医药学院生物医学工程系,吉林吉林132013

出　　处：《西安邮电大学学报》2021年第4期40-45,共6页Journal of Xi’an University of Posts and Telecommunications

基　　金：陕西省自然科学基础研究计划项目(2020JM-577),陕西省重点研发计划项目(2020SF-377)。

摘　　要：为提高体成分模型的精度,提出了一种基于支持向量机(Support Vector Machine,SVM)的9电极人体成分分析模型。在8电极测量模型的基础上,在腹部增加一个电极,利用9个测量电极以提高测量数据的准确性。采用SVM方法对受试人群数据进行分组,针对各个分组建立体成分分析模型。人体实验结果表明,所提模型的测量结果更加准确,且对模型经验参数不敏感。To improve the accuracy of the body composition model,a 9-electrode body composition analysis model based on support vector machine(SVM)is proposed.Based on the 8-electrode measurement model,an additional electrode was added to the abdomen,and 9 measurement electrodes were used to improve the accuracy of the measurement data.The SVM method was used to group the subject population data,and a three-dimensional composition analysis model was developed for each group.The results of human experiments show that the proposed model provided more accurate measurements and was insensitive to the empirical parameters of the model.

关 键 词：人体成分分析 4电极法 分段模型 支持向量机 生物阻抗分析 

分 类 号：TN98[电子电信—信息与通信工程]