Support Vector Regression for Non-invasive Detection of Human Hemoglobin

	Support Vector Regression for Non-invasive Detection of Human Hemoglobin
	Yuan, J. Z.; Q. P. Lu; J. L. Wang; H. Q. Ding; H. Z. Gao; C. Y. Wu and W. X. Li
	2017
发表期刊	Chinese Journal of Analytical Chemistry
卷号	45 期号:9
摘要	To facilitate noninvasive diagnosis of anemia, high-performance and portable near infrared (NIR) spectrometer for human blood constituents was designed and fabricated based on linear variable filter (LVF). Meanwhile, the performance of support vector regression (SVR) model for quantitative analysis of human hemoglobin (Hb) was investigated. Spectral data were collected noninvasively from 100 volunteers by self-designed LVF-NIR spectrometer, then divided into calibration set, validation set 1 and 2. To establish a robust SVR model, grid search method was applied to optimize the penalty parameter and kernel function parameter c = 5.28, g = 0.33. Then, Hb levels in the validation 1 and 2 sets were quantitatively analyzed. The results showed that the root mean square error of prediction (RMSEP) were 10.20 g/L and 10.85 g/L, respectively, and the relative RMSEP (R-RMSEP) were 6.85% and 7.48%, respectively. The results indicated that the SVR model had high prediction accuracy to Hb level and adaptability to different samples, and could satisfy the requirements of clinical measurement. Based on the SVR algorithm, the self-designed LVF-NIR spectrometer has a wide application prospect in the field of non. invasive anemia diagnosis.
收录类别	sci ; ei
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/59407
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Yuan, J. Z.,Q. P. Lu,J. L. Wang,et al. Support Vector Regression for Non-invasive Detection of Human Hemoglobin[J]. Chinese Journal of Analytical Chemistry,2017,45(9).
APA	Yuan, J. Z.,Q. P. Lu,J. L. Wang,H. Q. Ding,H. Z. Gao,&C. Y. Wu and W. X. Li.(2017).Support Vector Regression for Non-invasive Detection of Human Hemoglobin.Chinese Journal of Analytical Chemistry,45(9).
MLA	Yuan, J. Z.,et al."Support Vector Regression for Non-invasive Detection of Human Hemoglobin".Chinese Journal of Analytical Chemistry 45.9(2017).

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