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[Research on the effective signal extraction in the noninvasive blood glucose sensing by near infrared spectroscopy].
Ding, Hai-quan; Lu, Qi-peng; Wang, Dong-min; Chen, Xing-dan.
Affiliation
  • Ding HQ; State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China. haiquan_ding@163.com
Guang Pu Xue Yu Guang Pu Fen Xi ; 30(1): 50-3, 2010 Jan.
Article in Zh | MEDLINE | ID: mdl-20302079
ABSTRACT
Diabetes seriously endanger human health, and noninvasive glucose sensing is the expectation of both doctors and patients. Physiological background is complicated, volatile and mixed with a variety of tissue information, resulting in direct measurement of the body's near infrared spectra difficult to truly reflect the concentration change in glucose. As a matter of fact, blood volume is always changing, but human tissue background and the concentration of blood components are constant in a short period. Taking advantage of this, subtracted blood volume spectrometry is propounded, which could eliminate the interference of human tissue background and obtain effective spectrum information of blood. To verify the effectiveness of the method, a experimental system was developed. The system noise is better than 20 microAU, and the signal to noise ratio of the effective spectrum signal at 1250 nm is 20,0001. Finally, the feasibility and advantages of subtracted blood volume spectrometry are clarified in clinical application of near infrared non-invasive glucose sensing.
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Collection: 01-internacional Database: MEDLINE Main subject: Blood Glucose / Spectroscopy, Near-Infrared Limits: Humans Language: Zh Journal: Guang Pu Xue Yu Guang Pu Fen Xi Year: 2010 Document type: Article Affiliation country: China
Search on Google
Collection: 01-internacional Database: MEDLINE Main subject: Blood Glucose / Spectroscopy, Near-Infrared Limits: Humans Language: Zh Journal: Guang Pu Xue Yu Guang Pu Fen Xi Year: 2010 Document type: Article Affiliation country: China