DocumentCode
2241674
Title
A path for non-invasive glucose detection using mid-IR supercontinuum
Author
Domachuk, P. ; Hunter, M. ; Batorsky, R. ; Cronin-Golomb, M. ; Omenetto, F.G. ; Wang, A. ; George, A.K. ; Knight, J.C.
Author_Institution
Dept. of Biomed. Eng., Tufts Univ., Medford, MA
fYear
2008
fDate
4-9 May 2008
Firstpage
1
Lastpage
2
Abstract
We propose the use of large bandwidth mid-IR supercontinuum coupled with machine learning algorithms could provide a solution to non-invasive glucose detection. The SC uses millimeters of non-linear optical fiber, lowering costs and enhancing compactness.
Keywords
bio-optics; biochemistry; biomedical measurement; learning (artificial intelligence); medical computing; optical fibres; organic compounds; supercontinuum generation; machine learning algorithm; mid-IR supercontinuum; noninvasive glucose detection; nonlinear optical fiber; Bandwidth; Blood; Optical fiber polarization; Optical fibers; Optical pulse generation; Optical pulses; Optical scattering; Optical waveguides; Photonics; Sugar;
fLanguage
English
Publisher
iet
Conference_Titel
Lasers and Electro-Optics, 2008 and 2008 Conference on Quantum Electronics and Laser Science. CLEO/QELS 2008. Conference on
Conference_Location
San Jose, CA
Print_ISBN
978-1-55752-859-9
Type
conf
Filename
4571691
Link To Document