|国家科技期刊平台
首页|期刊导航|现代电子技术|基于四电极多频率扫描的生物阻抗法人体成分测试仪设计

基于四电极多频率扫描的生物阻抗法人体成分测试仪设计OA北大核心CSTPCD

Design of bio-impedance body composition tester based on four-electrode multi-frequency scanning

中文摘要英文摘要

生物阻抗包含丰富的人体病理和生理电信号,可以作为医务人员准确判断病人症状和治疗疾病的主要依据.基于此,提出一种基于Cole-Cole理论的人体多种参数测量系统.构建人体阻抗模型,通过碳纳米材料电极对人体阻抗进行采集分析,得到人体的各种成分参数.通过信号发生电路产生注入人体的低频信号,利用幅度检测电路检测流经人体电流产生的电压,采用分段检测法测得人体不同分段的阻抗信息;信号经放大电路输入RT1052微处理器,对数据和人体成分参数相关性进行分析,得到人体各种成分参数并显示测量结果.通过对系统进行测试分析,得出所设计系统能够准确地对人体蛋白质、脂肪等参数进行测量,误差范围可以控制在5%以内,具有很好的应用前景.

Bioimpedance contains abundant human pathology and physiological electrical signals,which can be used as the main basis for medical personnel to accurately judge patients and treat diseases.On this basis,a multi-parameter measurement system for human body based on Cole-Cole theory is proposed.In the system,a human body impedance model is constructed to collect and analyze various body parameters of the human body by means of carbon nanomaterial electrodes.The low-frequency signal injected into the human body is generated by means of the signal generation circuit,the amplitude detection circuit is used to detect the voltage generated by the current flowing through the human body,and the segmented detection method is used to measure the impedance information of different segments of the human body.The signal is input into the RT1052 microprocessor by means of the amplification circuit to analyze the correlation between the data and human body composition parameters,so as to obtain various human body composition parameters,and display the measurement results.After testing and analysis of the system,it is found that the designed system can accurately measure parameters such as human protein and fat,with an error range controlled within 5%,and has good application prospects.

韩团军;黄朝军;卢超;王桂宝;刘武

陕西理工大学 物理与电信工程学院,陕西 汉中 723000

电子信息工程

生物阻抗法人体电抗分段检测法信号采集多频率扫描RT1052微处理器

bioimpedance methodhuman body reactancesegmented detection methodsignal acquisitionmulti frequency scanningRT1052 microprocessor

《现代电子技术》 2024 (012)

多源协同近地目标智能识别和定位算法研究

45-51 / 7

国家自然科学基金项目(61972239);国家自然科学基金项目(61772398);陕西省重点研发计划项目(2019SF-257);陕西省教育厅专项科学研究计划项目(18JK0160);陕西理工大学2023年科研基金项目(SLGKYXM2308)

10.16652/j.issn.1004-373x.2024.12.008

评论