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
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;
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
