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Proceedings Paper

Near-infrared spectral methods for noninvasively measuring blood glucose
Author(s): Sun Fei; Deyi Kong; Tao Mei; Yongchun Tao
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Paper Abstract

Determination of blood glucose concentrations in diabetic patients is a frequently occurring procedure and an important tool for diabetes management. Use of noninvasive detection techniques can relieve patients from the pain of frequent finger pokes and avoid the infection of disease via blood. This thesis discusses current research and analyzes the advantages and shortages of different measurement methods, including: optical methods (Transmission, Polarimetry and scattering), then, we give emphasis to analyze the technology of near-infrared (NIR) spectra. NIR spectral range 700 nm ~2300 nm was used because of its good transparency for biological tissue and presence of glucose absorption band. In this work, we present an outline of noninvasive blood glucose measurement. A near-infrared light beam is passed through the finger, and the spectral components of the emergent beam are measured using spectroscopic techniques. The device includes light sources having the wavelengths of 600 nm - 1800 nm to illuminate the tissue. Receptors associated with the light sources for receiving light and generating a transmission signal representing the light transmitted are also provided. Once a transmission signal is received by receptors, and the high and low values from each of the signals are stored in the device. The averaged values are then analyzed to determine the glucose concentration, which is displayed on the device.

Paper Details

Date Published: 7 May 2004
PDF: 7 pages
Proc. SPIE 5281, Optical Transmission, Switching, and Subsystems, (7 May 2004); doi: 10.1117/12.521999
Show Author Affiliations
Sun Fei, Institute of Intelligent Machines (China)
Deyi Kong, Institute of Intelligent Machines (China)
Tao Mei, Institute of Intelligent Machines (China)
Yongchun Tao, Institute of Intelligent Machines (China)

Published in SPIE Proceedings Vol. 5281:
Optical Transmission, Switching, and Subsystems
Cedric F. Lam; Chongcheng Fan; Norbert Hanik; Kimio Oguchi, Editor(s)

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