无创血糖监测装置660和780 nm透射模式的研究

Anh Thu Pham Nguyen, Trung Tin Le, Ngoc Yen Bui Tran, Hoang Nhut Huynh, Anh Hao Huynh Vo, Trung Nghia Tran
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引用次数: 0

摘要

监测血糖水平是控制糖尿病所必需的。用手指刺血监测血糖水平是不舒服、不愉快的,还可能导致感染。经常把手指插在尖锐的物体上可能会导致疤痕和老茧,降低灵敏度和感知能力。因此,一个不侵扰的血糖自检是非常必要的。光学血糖检测技术是一种很有前途的技术,有进一步改进的机会。这项技术利用了从紫外线到红外线的各种波长。所述皮肤可被波长范围为450至2500纳米的光的低能量辐射穿透。葡萄糖吸收或散射光线的能力引起的光强度变化,被用来测量血糖水平。尽管对非侵入性方法进行了广泛的研究,但商用设备仍处于开发阶段。我们总结了利用660 nm和780 nm波长传输模型的实验结果。一种测量装置被设计出来支持志愿者进行的手指调查。VivaChek Ino用于测定血糖水平,将其与其他测量相结合,以确定测量结果。50个不同测量的数据被用来构建回归线。相关系数R2接近0.70。这项研究的结果表明,将光学方法与传输模型结合使用是可能的。此外,它建议混合不同的近红外波长范围,以获得更好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation Transillumination Mode at 660 and 780 nm for Non-Invasive Blood Glucose Monitoring Device
Monitoring the level of blood glucose is required for diabetes to be managed. Monitoring one's glucose levels with finger prick blood is uncomfortable, unpleasant, and may cause infection. Regularly sticking one's fingers into sharp objects may result in scarring and calluses, reducing sensitivity and perception. Therefore, a blood glucose self-test that is not intrusive is very necessary. The optical blood glucose detection technique is promising and has opportunities for further improvement. This technology makes use of a variety of wavelengths, ranging from ultraviolet to infrared. The skin may be penetrated by low-energy radiation from light with a wavelength ranging from 450 to 2500 nanometers. Changes in light intensity, brought on by glucose's ability to absorb or scatter light, are used to measure blood glucose levels. Despite the extensive research on non-invasive methods, the commercial device is still under development. We summarize the results of experiments utilizing transmission modeling at 660 nm and 780 nm wavelengths. A measurement gadget has been designed to support the finger surveys conducted by volunteers. The VivaChek Ino is used to determine blood glucose levels, which are combined with other measurements to establish the findings of the measurements. The data from fifty different measurements were used to construct the regression lines. The correlation coefficient, R2, is close to 0.70. The findings of this research indicate that it would be possible to use an optical approach in conjunction with a transmission model. Additionally, it recommends mixing different near-infrared wavelength ranges to get superior outcomes.
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