Non-invasive blood glucose measurement by near infrared spectroscopy: Machine drift, time drift and physiological effect

Simon C. H. LAM, Wai Yee Joanne CHUNG, K. L. FAN, Thomas K. S. WONG

Research output: Contribution to journalArticlespeer-review

12 Citations (Scopus)

Abstract

The aim of this paper is to evaluate development of the non-invasive blood glucose measurement of near infrared (NIR) spectroscopy. The results showed that NIR spectroscopy might obtain glucose concentration of up to 200% difference under a same environmental condition with two months apart due to time and machine drifts. These effects can restrict the development of the non-invasive blood glucose measurement. Partial least square (PLS) regression was used, which showed advantage over using simple absorbance for glucose concentration. Non-invasive blood glucose measurement of health subjects (non-diabetics) was also investigated. The results showed that R correlation coefficient of prediction (Rp) was 0.48 and root mean square of prediction (rmsep) was 1.34 mmol/l. The error was mainly due to the physiological effect of different subjects. Copyright © 2010 Hindawi Publishing Corporation.
Original languageEnglish
Pages (from-to)629-639
JournalJournal of Spectroscopy
Volume24
Issue number6
DOIs
Publication statusPublished - 2010

Citation

Lam, S. C. H., Chung, J. W. Y., Fan, K. L., & Wong, T. K. S. (2010). Non-invasive blood glucose measurement by near infrared spectroscopy: Machine drift, time drift and physiological effect. Journal of Spectroscopy, 24(6), 629-639. doi: 10.3233/SPE-2010-0485

Keywords

  • Spectroscopy
  • Machine drift
  • Time drift
  • Physiological effect
  • PLS
  • PDS
  • Beer’s law

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