Study on absorption spectrum of human high blood fat serum based on wavelet denoise

Weihua Zhu; Zhimin Zhao; Xin Guo; Lexin Wang; Hui Chen

doi:10.1117/12.760161

8 January 2008 Study on absorption spectrum of human high blood fat serum based on wavelet denoise

Weihua Zhu, Zhimin Zhao, Xin Guo, Lexin Wang, Hui Chen

Author Affiliations +

Proceedings Volume 6826, Optics in Health Care and Biomedical Optics III; 68262R (2008) https://doi.org/10.1117/12.760161
Event: Photonics Asia 2007, 2007, Beijing, China

Abstract

Blood spectrum examination has many superiorities, however , its spectrum signals often include the noise. The wavelet transformation method has good partial analysis ability on the signal. In this paper, the author chooses the normal person's blood serum and the high blood fat serum, carries them on the absorption spectrum examination. The author takes the wavelet theory as the foundation, uses it in human body blood serum absorption spectrum signal processing .Finally , it can smooth the noise well and make more useful information stand out . The normal person blood serum renewedly structural spectrum signal appears 8 absorptions peaks at 207nm, 215nm,223nm, 230.5nm, 240nm, 267.5nm, 277nm and 284.5nm place, the high blood fat blood serum renewedly structural spectrum signal appears 9 absorption speaks at 203.5nm, 211.5nm, 219.5nm, 236nm,243.5nm, 267.5nm, 275nm, 282nm and 289nm place. From above, the information of renewedly structural blood serum spectrum signal using the wavelet transformation method in the wave length 200nm~300nm section increases obviously. The high blood fat blood serum sample spectrum's two peaks positions gap between 219.5nm and the 236nm is obviously wider than the two peaks positions' gap of normal person blood serum sample in this spectrum section. Not only so, the former owns a peak at 289nm place but the latter not.

Citation Download Citation

Weihua Zhu, Zhimin Zhao, Xin Guo, Lexin Wang, and Hui Chen "Study on absorption spectrum of human high blood fat serum based on wavelet denoise", Proc. SPIE 6826, Optics in Health Care and Biomedical Optics III, 68262R (8 January 2008); https://doi.org/10.1117/12.760161

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KEYWORDS

Blood

Wavelets

Absorption

Interference (communication)

Signal processing

Analytical research

Ultraviolet radiation

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