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| 舌诊归一化反射光谱用于红细胞数无创测量 | |
| 引用本文： | Li G,Zhao J,Li JX,Xiong H,Lin L,Tong Y,Zhang BJ. 舌诊归一化反射光谱用于红细胞数无创测量[J]. 光谱学与光谱分析, 2011, 31(5): 1328-1331. DOI: 10.3964/j.issn.1000-0593(2011)05-1328-04 |
| 作者姓名： | Li G Zhao J Li JX Xiong H Lin L Tong Y Zhang BJ |
| 作者单位： | 1. 天津大学,精密测试技术及仪器国家重点实验室,天津300072 2. 天津大学,精密测试技术及仪器国家重点实验室,天津300072;天津科技大学,海洋科学与工程学院,天津300072 3. 天津大学,精密测试技术及仪器国家重点实验室,天津300072;天津工业大学,电气工程与自动化学院,天津300160 4. 天津大学,精密测试技术及仪器国家重点实验室,天津300072;天津师范大学,物理与电子信息学院,天津300387 5. 天津师范大学,物理与电子信息学院,天津300387 |
| 基金项目： | 国家自然科学基金项目,天津市应用基础及其前沿技术研究计划项目 |
| 摘 要： | 利用舌诊归一化反射光谱对人体血液中红细胞总数(RBC)进行了无创检测研究.采集240名志愿者舌尖反射光谱并进行反射率归一化同时用数码相机记录志愿者舌象.将样本分为两组:校正集和预测集,以血液成分含量生化分析值为参考,建立红细胞总数与光谱数据的偏最小二乘回归(PLSR)预测模型.所建模型的相关系数为0.991,用所建模型... |
| 关 键 词： | 归一化反射光谱 舌诊 红细胞总数(RBC) 偏最小二乘回归(PLSR) |
Noninvasive prediction of red blood cell counts by normalized reflection spectroscopy for tongue inspection |
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| Li Gang,Zhao Jing,Li Jia-xing,Xiong Hui,Lin Ling,Tong Ying,Zhang Bao-ju. Noninvasive prediction of red blood cell counts by normalized reflection spectroscopy for tongue inspection[J]. Spectroscopy and Spectral Analysis, 2011, 31(5): 1328-1331. DOI: 10.3964/j.issn.1000-0593(2011)05-1328-04 | |
| Authors: | Li Gang Zhao Jing Li Jia-xing Xiong Hui Lin Ling Tong Ying Zhang Bao-ju |
| Affiliation: | State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China. ligang59@tju.edu.cn |
| Abstract: | The technology of visible-infrared (Vis-NIR) spectroscopy for tongue inspection was used for the noninvasive prediction of red blood cell counts (RBC). Reflectance spectra on the tongue tips of 240 volunteers were collected, and the tongue picture was recorded at the same time. Samples were separated into two parts: calibration sample and prediction sample. Spectra were then subjected to a partial least squares regression (PLSR) analysis. The correlation between the data and prediction of HCT yielded calibration samples value of 0.991, and RBC levels of prediction samples predicted by this model from Vis-NIR spectra provided a coefficient of determination in prediction of 0.994 with an average relative error of prediction of 0.81%, and a root mean square error of prediction of 0.472. Experiment results showed that the correlation between tongue and RBC exists, and also demonstrated that the tongue can be used as the measure site for noninvasive prediction of RBC. From the results of prediction model and prediction results we can conclude that reflectance spectroscopy of tongue can be used to predict the RBC noninvasively. |
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