首页> 外文会议>Optical Diagnostics and Sensing V; Progress in Biomedical Optics and Imaging; vol.6 no.17 >Extraction of glucose information in blood glucose measurement by non-invasive near-infrared spectra
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Extraction of glucose information in blood glucose measurement by non-invasive near-infrared spectra

机译:非侵入性近红外光谱在血糖测量中的葡萄糖信息提取

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Near infrared spectroscopy has been proposed as an effective way for measuring blood glucose non-invasively. However the change of spectrum due to an increase in glucose level is very small compared to the changes due to other variations such as absorption of major blood components, skin surface reflectance, temperature and pressure and so on. So the complexity of spectrum makes it difficult to identify unique glucose information. In this paper, the effect of background correction is discussed firstly. Then a simple substitution is proposed to compute the net analyte signal of glucose using the subspace spanned by the background spectra. For the in vitro experiment, the net analyte signals of glucose using the traditional methods and the subspace spanned by background have the same peaks in the absorption peaks of glucose for the glucose aqueous solution. For in vivo experiment, there is significant spectral difference between the subject who took OGTT test and the subject who took no glucose or water. And the net analyte signal of glucose is computed for OGTT test based on the subspace spanned by the spectra of subject who didn't take glucose. Results show that, the spectral information induced by glucose taking is quite significant but it does not have the same peak at the absorption peak of glucose in near-infrared region.
机译:近红外光谱已经被提出作为一种非侵入性地测量血糖的有效方法。但是,与由于其他变化(例如主要血液成分的吸收,皮肤表面反射率,温度和压力等)引起的变化相比,由于葡萄糖水平增加引起的光谱变化非常小。因此,频谱的复杂性使得难以识别独特的葡萄糖信息。本文首先讨论了背景校正的效果。然后提出了一种简单的替代方法,即使用背景光谱所覆盖的子空间来计算葡萄糖的净分析物信号。对于体外实验,使用传统方法的葡萄糖净分析物信号和背景跨越的子空间在葡萄糖水溶液的葡萄糖吸收峰中具有相同的峰。对于体内实验,参加OGTT测试的受试者与未服用葡萄糖或水的受试者之间存在明显的光谱差异。然后,根据未摄取葡萄糖的受试者的光谱所覆盖的子空间,计算葡萄糖的净分析物信号以进行OGTT测试。结果表明,由葡萄糖摄取引起的光谱信息相当显着,但在近红外区的葡萄糖吸收峰处却没有相同的峰。

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