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Noninvasive in vivo Glucose Sensing Using an Iris Based Technique

机译:使用基于虹膜的技术进行的无创体内葡萄糖感测

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摘要

Physiological glucose monitoring is important aspect in the treatment of individuals afflicted with diabetes mellitus. Although invasive techniques for glucose monitoring are widely available, it would be very beneficial to make such measurements in a noninvasive manner. In this study, a New Zealand White (NZW) rabbit animal model was utilized to evaluate a developed iris-based imaging technique for the in vivo measurement of physiological glucose concentration. The animals were anesthetized with isoflurane and an insulin/dextrose protocol was used to control blood glucose concentration. To further help restrict eye movement, a developed ocular fixation device was used. During the experimental time frame, near infrared illuminated iris images were acquired along with corresponding discrete blood glucose measurements taken with a handheld glucometer. Calibration was performed using an image based Partial Least Squares (PLS) technique. Independent validation was also performed to assess model performance along with Clarke Error Grid Analysis (CEGA). Initial validation results were promising and show that a high percentage of the predicted glucose concentrations are within 20% of the reference values.
机译:生理葡萄糖监测是治疗糖尿病患者的重要方面。尽管用于葡萄糖监测的侵入性技术是广泛可用的,但以非侵入性方式进行这种测量将是非常有益的。在这项研究中,新西兰白(NZW)兔动物模型被用来评估已开发的基于虹膜的成像技术,用于体内测量生理性葡萄糖浓度。用异氟烷麻醉动物,并使用胰岛素/葡萄糖方案控制血糖浓度。为了进一步帮助限制眼睛的运动,使用了发达的眼部固定装置。在实验时间范围内,获取了近红外照明的虹膜图像,以及使用手持式血糖仪进行的相应离散血糖测量。使用基于图像的偏最小二乘(PLS)技术执行校准。还进行了独立验证,以评估模型性能以及Clarke错误网格分析(CEGA)。最初的验证结果令人鼓舞,并表明高百分比的预测葡萄糖浓度在参考值的20%以内。

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