CN106108916A - 基于超宽带微波吸收谱分析的血糖浓度检测方法 - Google Patents

基于超宽带微波吸收谱分析的血糖浓度检测方法 Download PDF

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CN106108916A
CN106108916A CN201610564302.0A CN201610564302A CN106108916A CN 106108916 A CN106108916 A CN 106108916A CN 201610564302 A CN201610564302 A CN 201610564302A CN 106108916 A CN106108916 A CN 106108916A
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blood sugar
sugar concentration
absorption spectra
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肖夏
李钦伟
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Tianjin University
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    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14532Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
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    • A61B5/0507Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves  using microwaves or terahertz waves
    • AHUMAN NECESSITIES
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    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/1455Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7253Details of waveform analysis characterised by using transforms
    • A61B5/7257Details of waveform analysis characterised by using transforms using Fourier transforms

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Abstract

本发明涉及基于超宽带微波吸收谱分析的血糖浓度检测方法,包括:制作人体耳垂模型;配制不同血糖浓度的测试血液;利用第一天线发射超宽带微波信号,第二天线接收来自耳垂模型的反射信号;对接收的信号使用傅里叶变换进行处理,得到不同血糖浓度对应的频域波形;提取吸收谱在1.5GHz时的振幅,找出吸收谱振幅与血糖浓度对应的线性关系;在进行血糖浓度检测时,将第一天线和第二天线置于耳垂同一侧;对接收的信号进行吸收谱分析,提取吸收谱在1.5GHz时的振幅,检测血糖浓度。本发明能够方便快捷测量血糖浓度。

Description

基于超宽带微波吸收谱分析的血糖浓度检测方法
技术领域
本发明属于微波无损检测技术领域,涉及一种血糖浓度检测方法。
背景技术
人体血液中各种化学成分含量的变化能真实反映人体的健康状况,是临床诊断和日常监护所必需的重要信息。寻找一种能够便捷、连续、有效、准确、无创地血液成分的方法,是长期以来人类对抗疾病过程中梦寐以求的理想。由于血液中葡萄糖浓度的实时检测对预防和治疗糖尿病具有重要价值,目前的研究主要集中在对血糖的无创检测上。正在研究的可行的血糖无创检测的方法可分为两大类:一类是光学方法,主要包括近红外光谱法、中红外光谱法、光声光谱法、偏振光测量技术等多种方案。光学方法普遍存在的问题是对人体组织的光学特性认识还不够深入,无法消除血压、体温、皮肤状况、测量部位等因素对测量精度的影响。另一类是非光学方法,主要包括体液采集法、离子反渗透法、电磁阻抗谱法。
发明内容
本发明提供一种利用超宽带微波检测系统中对人体血糖浓度进行无损探测的方法。该方法简便快捷,能够通过接收信号的吸收谱信息对血糖浓度进行判断,避免使用穿刺等对人体有伤害的方法,能够获取足够的信息对血糖浓度进行检测。本发明的技术方案如下:
一种基于超宽带微波吸收谱分析的血糖浓度检测方法,包括下列步骤:
1)制作人体耳垂模型;
2)配制不同血糖浓度的测试血液;
3)将两个天线置于趋近耳垂模型的同侧,利用第一天线发射超宽带微波信号,第二天线接收来自耳垂模型的反射信号;
4)对接收的信号使用傅里叶变换进行处理,得到不同血糖浓度对应的频域波形;
5)提取吸收谱在1.5GHz时的振幅,找出吸收谱振幅与血糖浓度对应的线性关系;
6)对接收的信号进行吸收谱分析,提取吸收谱在1.5GHz时的振幅,根据步骤5)找出的吸收谱振幅与血糖浓度对应的线性关系,检测血糖浓度。
附图说明
图1真实耳垂组织模型及天线结构示意图
图2(a)和(b)分别为发射信号的时域波形与频域波形
图3模型中所有接收信号的时域波形
图4所有信号经过傅里叶变换后得到的频域波形,放大部分为信号吸收谱
图5吸收谱振幅与血糖浓度的关系
具体实施方式
下面首先结合真实耳垂模型,对本发明的可行性进行说明。然后再结合实施例说明本发明的技术方案。
由于耳垂中组织结构简单,可以将毛细血管分布等效为一层血液层,不同血糖浓度时有不同的电磁特性参数。当一侧天线发射的超宽带微波穿过耳垂被另一侧的天线接收得到,再通过傅里叶变换对接收信号进行分析,即可得到信号的吸收谱,通过对吸收谱规律进行分析,即可得到血糖浓度的规律,通过该规律可以对血糖浓度进行判断。因此该方法简便快捷,避免了对人体的伤害,能够对人体的血糖浓度进行检测。非常适合于血糖浓度的检测。
图1为探测系统所采用的天线阵列结构和耳垂组织结构的模拟真实耳垂结构所构造的真实模型。其中,耳垂中的毛细血管被等效为一层血液层。血液层两边为脂肪组织,两个天线均在模型同侧。血液层的浓度范围为0-4000mg/dl,对应不同浓度的血液层的电磁参数如表1所示,图1模型中的脂肪组织的电磁参数也包含在表1中。为满足探测分辨率的要求采用中心频率为5GHz、带宽为10GHz的一阶导高斯信号,信号波形如图3所示。
表1各个IMF与原始信号之间的相关系数
具体过程如下:
1.首先使用模型(图1)进行实验,天线A1发射超宽带微波信号,天线A2接收来自耳垂的反射信号。
2.模型中接收到信号的时域波形如图3所示。从图3中可以看出,不同血糖浓度得到的五组信号是相同的,其中看不出差别。
3.对五组信号使用傅里叶变换进行处理,得到五组信号的频域波形,如图4所示。从图中可以看出,在1.5GHz时有明显的吸收谱。对该吸收谱进行放大,可以看出,血糖浓度越高,吸收谱越大。
4.为了更直观地反应吸收谱对应的血糖浓度的规律。提取信号在1.5GHz时的振幅,如图5所示。从图5可以看出,血糖浓度与吸收谱振幅呈线性关系。
5.以上结果得出,使用超宽带微波吸收谱对血糖浓度进行检测的方法具有很高的可行性及有效性。
下面总结一下本发明的检测方法:
1)制作人体耳垂模型;
2)配制不同血糖浓度的测试血液;
3)利用第一天线发射超宽带微波信号,第二天线接收来自耳垂模型的反射信号;
4)对接收的信号使用傅里叶变换进行处理,得到不同血糖浓度对应的频域波形;
5)提取吸收谱在1.5GHz时的振幅,找出吸收谱振幅与血糖浓度对应的线性关系;
6)对接收的信号进行吸收谱分析,提取吸收谱在1.5GHz时的振幅,根据步骤5)找出的吸收谱振幅
与血糖浓度对应的线性关系,检测血糖浓度。
该方法可以简便地确定血糖浓度,同时对身体不产生损害。实验结果证实该方法十分可行有效。

Claims (1)

1.一种基于超宽带微波吸收谱分析的血糖浓度检测方法,包括下列步骤:
1)制作人体耳垂模型;
2)配制不同血糖浓度的测试血液;
3)将两个天线置于趋近耳垂模型的同侧,利用第一天线发射超宽带微波信号,第二天线接收来自耳垂模型的反射信号;
4)对接收的信号使用傅里叶变换进行处理,得到不同血糖浓度对应的频域波形;
5)提取吸收谱在1.5GHz时的振幅,找出吸收谱振幅与血糖浓度对应的线性关系;
6)对接收的信号进行吸收谱分析,提取吸收谱在1.5GHz时的振幅,根据步骤5)找出的吸收谱振幅与血糖浓度对应的线性关系,检测血糖浓度。
CN201610564302.0A 2016-07-15 2016-07-15 基于超宽带微波吸收谱分析的血糖浓度检测方法 Pending CN106108916A (zh)

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