在光学相干层析无创血糖检测中，由于人体皮肤各层组织物质分布并不均匀，且不同种类组织对于血糖变化的相关性也并不一致，因此如何正确地选择皮肤内部用于标定的组织相关区域，最大限度地排除来自皮肤其他层组织无关信号的干扰成为亟需解决的问题之一。通过研究皮肤内部不同深度区域的组织散射系数与血糖变化的相关性，提出一种相关性标定分析算法,利用此算法可以得到皮肤散射系数与血糖变化最相关的组织区域来进行标定，消减了背景噪声以及皮肤内与血糖无关组织层信号的干扰。此算法有利于提高血糖值的预测精度，对于光学相干层析无创血糖检测的研究具有一定的应用价值。

The living human skin has complex composition of tissue in several distinctive layers with various thicknesses, and different tissues have different glucose dependence of optical properties. Therefore, the calculation analysis method to find the maximum correlation region containing minimum noise to be used for calibration is worth being concerned in noninvasive blood glucose monitoring. We report an algorithm using correlation analysis to calculate the depth of region, which has the maximum correlation between blood glucose concentration and tissue optical properties. The selected correlation region also has the least noise interference from other skin layers. This method can improve the prediction precision of the noninvasive blood glucose concentration measuring and has a value for application.