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Performance improved method for subtracted blood volume spectrometry using empirical mode decomposition
Gao H. Z.; Lu Q. P.; Ding H. Q.
2014
发表期刊Bio-Medical Materials and Engineering
ISSNISBN/0959-2989
卷号24期号:1页码:101-107
摘要Subtracted blood volume spectrometry (SBVS) can eliminate the background information in near infrared spectroscopy (NIRS) noninvasive biochemical sensing. However, the spectrum obtained by this method is accompanied by serious noises which are to the disadvantage of the calibration models. Empirical mode decomposition (EMD) was applied to restrict the noises in order to improve the performance of subtracted blood volume spectrometry. Certain criteria were used to evaluate the performance of the method, such as the average correlation coefficient, and the average and standard deviation of the Euclidean distance. EMD was applied to three subtracted spectra with different Delta L, and the criteria were calculated accordingly. All of the criteria were improvement. Especially for the subtracted spectra with Delta L= 0.5mm, the correlation coefficient increased from 0.9970 to 0.9999, the average Euclidean distance decreased from 0.0265 to 0.0118, and the standard deviation of the Euclidean distance decreased from 0.0148 to 0.0033 after EMD filtering. The PLS models of the processed spectra were promoted as well. These preliminary results suggest that EMD is a promising means of improving the performance of subtracted blood volume spectrometry.
收录类别SCI
语种英语
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/44258
专题中科院长春光机所知识产出
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Gao H. Z.,Lu Q. P.,Ding H. Q.. Performance improved method for subtracted blood volume spectrometry using empirical mode decomposition[J]. Bio-Medical Materials and Engineering,2014,24(1):101-107.
APA Gao H. Z.,Lu Q. P.,&Ding H. Q..(2014).Performance improved method for subtracted blood volume spectrometry using empirical mode decomposition.Bio-Medical Materials and Engineering,24(1),101-107.
MLA Gao H. Z.,et al."Performance improved method for subtracted blood volume spectrometry using empirical mode decomposition".Bio-Medical Materials and Engineering 24.1(2014):101-107.
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