基于AFE4300肌少症风险评价系统的研究
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摘要
随着现代人生活的改变,越来越多的中老年人因缺乏锻炼而患有肌少症,进而导致肌肉萎缩的发病率增加。为了及早地判断是否患有肌少症的风险,本文实验通过生物电阻抗法对人体进行了检测。基于AFE4300设计了一套四电极的人体生物电阻抗测量系统,该系统以STM32单片机为核心,由AFE4300模块、数字握力计模块、串口模块、电源模块和上位机等组成。采用AFE4300模块对人体四肢阻抗进行测量,拟合计算出四肢骨骼肌含量,以及使用数字握力计对实验对象进行握力测量,结合四肢骨骼肌含量和握力值大小,在国家肌少症评判标准上进行对比优化,将风险状况分为低风险、中等风险和高风险3个级别。通过对18岁以上的人群进行实验,结果表明,该系统能更好地反映出人体肌少症的风险状况。
With the change of modern people's life, more and more middle-aged and elderly people suffer from sarcopenia due to lack of exercise, which leads to higher incidence of muscle atrophy. In order to determine the risk of sarcopenia early, biological impedance method was used to detect the human body. Based on AFE4300, a set of four-electrode human bioelectrical impedance measurement system is designed, which is based on STM32 single chip microcomputer and consists of AFE4300 module, digital grip module, serial port module, power supply module and host computer, etc. Using AFE4300 module to measure the impedance of human limbs, fitting limbs skeletal muscle content, and the use of digital dynamometer to grip strength measurement of the subject, combined with limb skeletal muscle content and grip strength value size, contrast and optimize the sarcopenia's judgement criteria in the country, risk profile can be divided into three levels: low risk, moderate risk and high risk. Experiments on people over the 18 years old show that the system can reflect the risk of human sarcopenia better.
With the change of modern people's life, more and more middle-aged and elderly people suffer from sarcopenia due to lack of exercise, which leads to higher incidence of muscle atrophy. In order to determine the risk of sarcopenia early, biological impedance method was used to detect the human body. Based on AFE4300, a set of four-electrode human bioelectrical impedance measurement system is designed, which is based on STM32 single chip microcomputer and consists of AFE4300 module, digital grip module, serial port module, power supply module and host computer, etc. Using AFE4300 module to measure the impedance of human limbs, fitting limbs skeletal muscle content, and the use of digital dynamometer to grip strength measurement of the subject, combined with limb skeletal muscle content and grip strength value size, contrast and optimize the sarcopenia's judgement criteria in the country, risk profile can be divided into three levels: low risk, moderate risk and high risk. Experiments on people over the 18 years old show that the system can reflect the risk of human sarcopenia better.
引文
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[13] 吴琼,王楠,瞿超杰,等.基于STM32的光伏发电板二自由度自跟随系统设计[J].电子测量技术,2017,40(12):160-164.
[14] 路成强,李千振,王长绪.基于STM32的便携式智能体质测量仪设计[J].电子测量技术,2017,40(10):58-61.
[15] BAUMGARTNER R N,KOEHLER K M,GALLAGHER D,et al.Epidemiology of Sarcopenia Among the Elderly in New Mexico[J].Am J Epidemiol,1998,147:755-763.
[16] CHEN L K,LIU L K,WOO J,et al.Sarcopenia in Asia:Consensus report of the Asian working group for sarcopenia [J].J Am Med Dir Assoc,2014,15:95-101.
[17] CRUZ-JENTOFT A J,BAEYENS J P,BAUER J M,et al.Sarcopenia:European consensus on definition and diagnosis:Report of the European working group on sarcopenia in older people[J].Age Ageing,2010,39:412-423.
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[2] 中华医学骨质疏松和骨矿盐疾病分会.肌少症共识[J].中华骨质疏松和骨矿盐疾病杂志,2016,9(3):215-227.
[3] 任超世.生物电阻抗测量技术[J].中国医疗器械信息,2004,10(1):21-25.
[4] 撖涛,孙怡宁,姚志明.人体成分分析仪设计——生物电阻抗原理的一种实现[J].北京生物医学工程,2007(6):629-633.
[5] 王斯亮.精密生物阻抗谱测量系统及其在经络研究中的应用[D].天津:天津大学,2008.
[6] 毛光金,沈林勇,张煜辉,等.生物电阻抗测量实验的设计与研究[J].工业控制计算机,2014,27(1):57-58,60.
[7] 吴金峰.基于支持向量机的人体体成分预测模型研究[D].大连:大连大学,2017.
[8] 苌飞霸,尹军,颜乐先,等.基于生物电阻抗法的人体成分测量系统的研究与评价[J].中国医学物理学杂志,2014,31(2):4833-4838.
[9] 肖晓明.基于电阻抗原理的人体成分分析仪系统研究与设计[D].重庆:重庆大学,2015.
[10] 王化祥,南国芳,王艳儒,等.用于人体阻抗成像的数据采集系统[J].仪器仪表学报,2001(4):416-418.
[11] 王超,张强,黄春艳,等.生物电阻抗测量系统功能抽象与设计[J].仪器仪表学报,2008,29(1):38-42.
[12] 陈果,郭庆,王金宏,等.基于STM32的蓄电池检测系统[J].国外电子测量技术,2012,31(1):70-73.
[13] 吴琼,王楠,瞿超杰,等.基于STM32的光伏发电板二自由度自跟随系统设计[J].电子测量技术,2017,40(12):160-164.
[14] 路成强,李千振,王长绪.基于STM32的便携式智能体质测量仪设计[J].电子测量技术,2017,40(10):58-61.
[15] BAUMGARTNER R N,KOEHLER K M,GALLAGHER D,et al.Epidemiology of Sarcopenia Among the Elderly in New Mexico[J].Am J Epidemiol,1998,147:755-763.
[16] CHEN L K,LIU L K,WOO J,et al.Sarcopenia in Asia:Consensus report of the Asian working group for sarcopenia [J].J Am Med Dir Assoc,2014,15:95-101.
[17] CRUZ-JENTOFT A J,BAEYENS J P,BAUER J M,et al.Sarcopenia:European consensus on definition and diagnosis:Report of the European working group on sarcopenia in older people[J].Age Ageing,2010,39:412-423.
[18] FIELDING R A,VELLAS B,EVANS W J,et al.Sarcopenia:An undiagnosed condition in older adults.Current consensus definition:prevalence,etiology,and consequences.International working group on sarcopenia[J].J Am Med Dir Assoc,2011,12:249-256.