摘要
A Raman spectroscopy method combined with neural network is used for the invasive and rapid detection of echinococcosis. The Raman spectroscopy measurements are performed on two groups of blood serum samples,which are from 28 echinococcosis patients and 38 healthy persons,respectively. The normalized Raman reflection spectra show that the reflectivity of the echinococcosis blood serum is higher than that of the normal human blood serum in the wavelength ranges of 101—175 nm and 1 801—2 701 nm. Then the principal component analysis(PCA) and back propagation neural network(BPNN) model are used to obtain the diagnosis results. The diagnosis rates for healthy persons and echinococcosis persons are 93.333 3% and 90.909 1%,respectively,so the average final diagnosis rate is 92.121 2%. The results demonstrate that the Raman spectroscopy analysis of blood serum combined with PCA-BPNN has considerable potential for the non-invasive and rapid detection of echinococcosis.
作者
CHENG Jin-ying
XU Liang
LU Guo-dong
TANG Jun
MO Jia-qing
LU Xiao-yi
GAO Zhi-xian
程金盈;许亮;吕国栋;唐军;莫家庆;吕小毅;高志贤(School of information Science and Engineering, Xinjiang University, Urumqi 830046, China;School of Electrical Engineering, Tianjin University of Technology, Tianjin 300384, China;Xinjiang Key Laboratory of Echinococcosis, Clinical Medical Research Institute, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830000, China;Physics and Chemistry Detecting Center, Xinjiang University, Urumqi 830046, China;Institute of Health and Environmental Medicine, Academy of Military Medical Science, Tianjin 300050, China)
基金
supported by the National Natural Science Foundation of China(No.61308120)
the Doctor Startup Project of Xinjiang University(No.BS120122)
the Young Talents Project in Xinjiang Uygur Autonomous Region(No.2013731003)
the Xinjiang Science and Technology Project(Nos.201412107 and 2014211B003)
