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Non-Invasive Measurement of Human Blood Cholesterol Concentration Based on Dynamic Spectrum Method
Alternative TitleNon-Invasive Measurement of Human Blood Cholesterol Concentration Based on Dynamic Spectrum Method
Suo Yongkuan1; Li Gang2; Wang Huiquan2; Lin Ling2
2012
Source PublicationSPECTROSCOPY AND SPECTRAL ANALYSIS
ISSN1000-0593
Volume32Issue:1Pages:188-191
AbstractFor non-invasive measurement of human blood cholesterol concentration, this experiment was carried out on 80 volunteers clinically. In vivo dynamic spectra of fingers were achieved and biochemical examinations of blood components contents including cholesterol were get as soon as possible. BP artificial neural network with inputs of dynamic spectra plus energy of harmonic waves processed by Principal Components Analysis(PCA) was used to establish the model of the total cholesterol values. The correlation between the predicted value and the true value of cholesterol is 96. 48%. The maximum relative error is 25. 44% and root-mean-square error of prediction is 0. 242 6 mmol . L-1. The results show that PCA can make the process of computing faster and this study is another advance of dynamic spectra.
KeywordTotal cholesterol Dynamic spectra Principle component analysis(PCA) Artificial neural network
Indexed ByCSCD
Language英语
CSCD IDCSCD:4420643
Citation statistics
Cited Times:1[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/147510
Collection中国科学院金属研究所
Affiliation1.中国科学院金属研究所
2.天津大学
Recommended Citation
GB/T 7714
Suo Yongkuan,Li Gang,Wang Huiquan,et al. Non-Invasive Measurement of Human Blood Cholesterol Concentration Based on Dynamic Spectrum Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2012,32(1):188-191.
APA Suo Yongkuan,Li Gang,Wang Huiquan,&Lin Ling.(2012).Non-Invasive Measurement of Human Blood Cholesterol Concentration Based on Dynamic Spectrum Method.SPECTROSCOPY AND SPECTRAL ANALYSIS,32(1),188-191.
MLA Suo Yongkuan,et al."Non-Invasive Measurement of Human Blood Cholesterol Concentration Based on Dynamic Spectrum Method".SPECTROSCOPY AND SPECTRAL ANALYSIS 32.1(2012):188-191.
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