Accurate spectroscopic calibration for noninvasive glucose monitoring by modeling the physiological glucose dynamics.
Accurate spectroscopic calibration for noninvasive glucose monitoring by modeling the physiological glucose dynamics.
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DOI：
10.1021/ac100810e
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发表时间：
2010-07-15
影响因子：
7.4
通讯作者：
Feld, Michael S.
中科院分区：
文献类型：
--
作者：
Barman, Ishan;Kong, Chae-Ryon;Singh, Gajendra P.;Dasari, Ramachandra R.;Feld, Michael S.
血液和间质液（ISF）葡萄糖之间的生理滞后是无创葡萄糖浓度测量的主要挑战。这对于光谱技术是一个特别的问题，光谱技术主要探测ISF葡萄糖，在校准中产生不一致性，其中血糖测量值用作参考。为了克服这个问题，我们提出了一个动态浓度校正（DCC）计划，基于血液和ISF之间的葡萄糖的传质，以确保与光谱测量的一致性。所提出的形式主义允许在浓度域中的葡萄糖的变换，确保与校准模型中所获得的光谱的一致性。以拉曼光谱作为一个具体的例子，我们证明了预测的葡萄糖浓度使用基于DCC的校准模型密切匹配的测量的葡萄糖浓度，而与传统的校准方法产生的显示显着较大的偏差从测量值。此外，我们提供了一个分析公式，以前未确定的来源的限制不确定性所产生的光谱葡萄糖监测缺乏知识的葡萄糖动力学预测样品。一项研究与人类志愿者进行葡萄糖耐量试验表明，这种滞后的不确定性，这是相当的幅度所产生的不确定性的噪声和非正交性的光谱数据集，可以大大减少采用DCC光谱校准。
The physiological lag between blood and interstitial fluid (ISF) glucose is a major challenge for non-invasive glucose concentration measurements. This is a particular problem for spectroscopic techniques, which predominantly probe ISF glucose, creating inconsistencies in calibration, where blood glucose measurements are used as reference. To overcome this problem, we present a dynamic concentration correction (DCC) scheme, based on the mass transfer of glucose between blood and ISF, to ensure consistency with the spectral measurements. The proposed formalism allows the transformation of glucose in the concentration domain, ensuring consistency with the acquired spectra in the calibration model. Taking Raman spectroscopy as a specific example, we demonstrate that the predicted glucose concentrations using DCC-based calibration model closely match the measured glucose concentrations, while those generated with the conventional calibration methods show significantly larger deviations from the measured values. In addition, we provide an analytical formula for a previously unidentified source of limiting uncertainty arising in spectroscopic glucose monitoring from a lack of knowledge of glucose kinetics in prediction samples. A study with human volunteers undergoing glucose tolerance tests indicate that this lag uncertainty, which is comparable in magnitude to the uncertainty arising from noise and nonorthogonality in the spectral dataset, can be reduced substantially by employing the DCC in spectroscopic calibration.
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影响因子：
7.4
作者：
Barman, Ishan;Singh, Gajendra P.;Dasari, Ramachandra R.;Feld, Michael S.
通讯作者：
Feld, Michael S.
影响因子：
7.4
作者：
Aarnoutse, PJ;Westerhuis, JA
通讯作者：
Westerhuis, JA
影响因子：
5.4
作者：
Cengiz, Eda;Tamborlane, William V.
通讯作者：
Tamborlane, William V.
糖尿病的医疗标准 - 2009年。
影响因子：
16.2
作者：
American Diabetes Association
通讯作者：
American Diabetes Association
影响因子：
3.5
作者：
Berger, AJ;Feld, MS
通讯作者：
Feld, MS