光谱学与光谱分析, 2012, 32 (11): 3098, 网络出版: 2012-11-22   

基于统计方法的动态光谱差值提取

D-Value Estimation of Dynamic Spectrum Based on the Statistical Methods
作者单位
1 天津大学测试技术及仪器国家重点实验室, 天津300072
2 河北工业大学信息工程学院, 天津300401
3 天津师范大学物理与电子信息学院, 天津300387
摘要
为实现血液成分无创检测, 针对动态光谱(dynamic spectrum, DS)时域单拍提取法存在的不足, 提出时域差值提取法, 即顺序提取各波长对数光电脉搏波上相距理想差值间隔的两对应采样点的绝对差值构成差值DS, 利用统计方法优选若干有效差值DS进行叠加平均获取最终DS输出。 对48例志愿者的实验数据分别利用差值提取法和单拍提取法进行DS提取, 结果表明: 差值提取法提取DS的去噪效果略优于单拍提取法; 对单一个体可获取有效DS的平均个数由48个改善为130个, 有效DS间均方误差的平均值由0.39改善为0.006, 运算速度提升了近20倍。 新方法显著提高了DS提取的质量。
Abstract
To realize the noninvasive concentration detection of blood components and improve the drawbacks existing in the time-domain single-trial estimation method of “dynamic spectrum” (DS), the D-value estimation method based on the statistical properties was proposed. We extracted the absolute difference between two corresponding values of each wavelength to make up the DS, selected the valid DSs from the DSs of different times by statistic method, and the valid DSs were superimposed and averaged as the final output of the DS. Data collected from 48 volunteers were processed by the D-value estimation and the single-trial estimation, respectively; and then the comparison was carried out between the two methods. Compared with the single-trial estimation, the valid DSs extracted by the D-value estimation were slightly better in denoising; And the average number of the remained valid DSs is improved from 48 to 130; the average of mean square error among the valid DSs is improved from 0.39 to 0.006; the speed of data processing is increased by nearly 20 times. The new method can significantly improve the quality of the extraction of DS.

林凌, 李永城, 王蒙军, 周梅, 李刚, 张宝菊. 基于统计方法的动态光谱差值提取[J]. 光谱学与光谱分析, 2012, 32(11): 3098. LIN Ling, LI Yong-cheng, WANG Meng-jun, ZHOU Mei, LI Gang, ZHANG Bao-ju. D-Value Estimation of Dynamic Spectrum Based on the Statistical Methods[J]. Spectroscopy and Spectral Analysis, 2012, 32(11): 3098.

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