NIR Based Non-Invasive Blood Glucose Measurement
NIR Based Non-Invasive Blood Glucose Measurement
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基于 NIR 的无创血糖测量
DOI：
10.17485/ijst/2016/v9i41/98996
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
B. Karthikeyan
中科院分区：
文献类型：
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作者：
P. Narkhede;Suraj Dhalwar;B. Karthikeyan
目的：介绍一种利用近红外光学技术无创测量人体血液中葡萄糖浓度的方法。方法/分析：在最近的医学实践中，血液中的葡萄糖浓度是使用侵入性技术测量的，通常需要刺伤手指。在一般情况下，只需要几毫升的血液，而在最近的实践中，只有不到一滴的血液被取出，并通过标准的化学测试来测量葡萄糖浓度。这些方法既昂贵又痛苦。频繁的手指刺伤会导致皮肤上的老茧，还会增加传播传染病的风险。研究结果：无创血糖测量系统的研制将为糖尿病患者带来福音。本文介绍了一种利用无痛近红外光学技术无创测量人体血液中血糖的方法。所设计的系统由波长为940 nm的LED发光信号组成。这些光信号通过指尖发送，反射信号由放置在LED旁边的光电晶体管检测。通过分析反射后接收信号强度的变化来确定血液中的葡萄糖浓度。实验结果表明，基于近红外的无创血糖测量方法是可行的。应用/改进：所描述的系统主要适用于糖尿病患者。通过将其与噪声滤波技术相结合，可以提高系统的测量精度。
Objectives: This paper describes the method of measurement of glucose concentration in the human blood non-invasively using the near infrared optical technique. Methods/Analysis: In recent medical practice, the concentration of glucose in blood is measured using an invasive techniques which generally involves puncturing finger. In generic few ml of blood whereas in recent practice less than a drop of blood is taken out and passed through the standard chemical tests to measure glucose concentration. These methods are expensive as well as painful. The frequent finger puncturing causes calluses on the skin and also increases the risk of spreading infectious diseases. Findings: So, the development of a non-invasive blood glucose measurement system will be boon to the diabetic patients. This paper describes the method of blood sugar measurement in the human blood non-invasively using the painless near infrared based optical technique. The designed system consists of LED emitting signals of 940 nm wavelength. These optical signals are sent through the fingertip and reflected signals are detected by phototransistor placed beside the LED. The glucose concentration in the blood is determined by analyzing the variation in the intensity of received signal obtained after reflection. The results obtained from the designed system shows the feasibility of using NIR based non-invasive method for the measurement of blood glucose. Applications/Improvements: The described system is majorly useful for diabetic patients. The measurement accuracy of the proposed system can be improved by incorporating it with noise filtering techniques.