Using the Statistic Preprocessing Method to Raise the Measurement Accuracy of Dynamic Spectrum
LI Gang1,LIU Yu-liang1,2,LIN Ling1,WANG Yan1,3
1. College of Precision Instruments and Opto-Elec Engineering, Tianjin University, Tianjin 300072, China 2. College of Electric Information and Automation, Tianjin University of Science and Technology, Tianjin 300222, China 3. Department of Electronic Engineering, Liaoning University of Technology, Fuxin 123000, China
Abstract：The development of the non-invasive measurement of blood compositions by near-infrared spectroscopy has attracted significant interests in recent years. But it has not yet been applied to the clinical field except the oximeter. The most important and difficult problem is that the instrument accuracy does not meet the requirement of the non-invasive measurement of blood compositions due to the effect of the individual discrepancy and complicated measurement conditions. So how to reach the instrument accuracy required is its key part. Based on the dynamic spectroscopy, a new non-invasive measurement method of blood compositions is presented, where the measurement accuracy is raised through the outlier eliminating and the assembly average of several measurement results. It has been proved by the experiment that the measurement accuracy can be raised by the outlier eliminating and the assembly average of several measurement results.
李刚1,刘玉良1,2,林凌1,王焱1,3. 利用统计处理方法提高动态光谱的检测精度[J]. 光谱学与光谱分析, 2007, 27(09): 1669-1672.
LI Gang1,LIU Yu-liang1,2,LIN Ling1,WANG Yan1,3. Using the Statistic Preprocessing Method to Raise the Measurement Accuracy of Dynamic Spectrum. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(09): 1669-1672.
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