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作 者:陈文亮[1] 崔厚欣[1] 刘蓉[1] 徐可欣[1] 陈民森[1]
机构地区:[1]天津大学精密测试技术及仪器国家重点实验室,天津300072
出 处:《生物医学工程学杂志》2004年第5期824-827,共4页Journal of Biomedical Engineering
基 金:国家自然科学基金项目 ( 3 0 170 2 61);国家十五科技攻关项目( 2 0 0 1BA70 6B14 )
摘 要:在近红外无创血糖测量的研究中 ,保证校正集模型数据的可靠性和所需的数据量具有极其重要的意义。本研究采用蠕动泵取血的 OGTT(口服葡萄糖耐量试验 )实验方法为校正集模型获取足够多的可靠血糖浓度参考值 ,并在 110 0~ 170 0 nm近红外 AOTF(声光可调谐滤波器 )分光系统基础上构建了无创血糖检测系统。利用该系统和实验方法对 3例志愿者进行实验 ,结果表明 ,建立单次实验的 PL S(偏最小二乘 )校正集模型 ,其相关系数分别为 0 .986、0 .971、0 .985 ,完全交互验证下的 RMSEP(预测均方根误差 )分别为 0 .5 5 0、0 .4 5 6、0 .5 2 0 mm ol/ l。此外 ,随着有效数据量增加 ,所建立模型的预测误差减小。For non-invasive blood glucose detection through near-infrared spectroscopy, it is very important to ensure the data quantity and reliability of calibration model. In this paper, the method of sampling blood by tubing pump in OGTT(Oral Glucose Tolerance Test) is used to get reliable and adequate reference data of blood glucose concentration for calibration model, and the non-invasive blood detection system based on the AOTF(Acousto-Optic Tunable Filter) ranging from 1100 nm to 1700 nm is designed. 3 experiments were performed by the above system and method. The results showed that based on the PLS(Partial Least Square) calibration models constructed by analyzing all individual experimental data, the correlation coefficients were 0.986, 0.971 and 0.985, respectively, and the RMSEP(Root Mean Square Error of Prediction) estimated by Full Cross Validation were 0.550mmol/l, 0.456 mmol/l and 0.520 mmol/l, respectively. The results also showed that the prediction error of the model decreased when the number of effective model data increased.
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