PLS在基于动态光谱的人体血液中性粒细胞无创测量中的应用

PLS Analysis Used for Noninvasive Measurement of Human Neutrophiclic Granulocyte Based on Dynamic Spectrum Method

利用动态光谱指端透射法进行了人体血液中性粒细胞百分比无创测量的研究。对21名健康志愿者进行了在体测量,选用偏最小二乘法(PLS)对获取的动态光谱数据和中性粒细胞百分比实测值进行建模分析,建立的定标集的相关系数为0.922,最大相对误差为5.85%,平均相对误差为4.13%;对定标模型的预测能力进行了验证,其中预测集的相关系数为0.912,预测集的相对误差最大为6.74%,平均相对误差为5.07。结果表明:动态光谱法可以有效地克服测量位置及人体成分等对光谱测量的影响,较准确地进行人体血液中性粒细胞百分比的测量,是一种比较好的血液成分无创测量方法,具有较高的临床应用价值。

Dynamic spectrum method was used to noninvasive measurement of human neutrophilic granlocyte percent tor the first time. In vivo measurements were carried out in 21 healthy volunteers, and parital least-squares was used to establish the calibration model of subjects neutrophilic granulocyte percent values against dynamic spectrum data. Twenty one samples were classified into calibration set and prediction set, and the calibration was used to establish the calibration model, in which cross validation and leave-one-out method was used to test the best number of factors influencing the PLS calibration models. For cali- bration set, the correlation coefficient was 0. 922, the root mean square error of the calibration set obtained by cross-validation （RMSECV） wasl. 776~,/00, the biggest relative error was 5.85~, and the average reIative error was 4.13~, which promise the good calibration effect. Prediction was carried out to certify the prediction ability of calibration model. And the correlation coeffi- cient of prediction was 0. 912, the root mean square error of the prediction set （RMSEP） was 2. 930~, the biggest relative error of prediction was 6.74~, and the average relative error was 5.07 ~, which certify that the calibration model has good prediction ability. Measurement results show that the influences of measuring conditions on spectra can be decreased effectively by dynamic spectrum method and this method can be applied to accurate invasive measurement of human neutrophilic granulocyte percent. It can be a good method for noninvasive blood analysis, which makes great sense to clinical application.