Proceedings Article | 8 January 2008
KEYWORDS: Blood, Wavelets, Absorption, Interference (communication), Signal processing, Analytical research, Ultraviolet radiation, Skin, Biomedical optics, Spectrophotometry
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.
