Document Detail


Pulse glucometry: A new approach for noninvasive blood glucose measurement using instantaneous differential near-infrared spectrophotometry.
MedLine Citation:
PMID:  17092177     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We describe a new optical method for noninvasive blood glucose (BGL) measurement. Optical methods are confounded by basal optical properties of tissues, especially water and other biochemical species, and by the very small glucose signal. We address these problems by using fast spectrophotometric analysis in a finger, deriving 100 transmittance spectra per second, to resolve optical spectra (900 to 1700 nm) of blood volume pulsations throughout the cardiac cycle. Difference spectra are calculated from the pulsatile signals, thereby eliminating the effects of bone, other tissues, and nonpulsatile blood. A partial least squares (PLS) model is used with the measured spectral data to predict BGL levels. Using glucose tolerance tests in 27 healthy volunteers, periodic optical measurements were made simultaneously with collection of blood samples for in vitro glucose analysis. Altogether, 603 paired data sets were obtained in all subjects and two-thirds of the data or of the subjects randomly selected were used for the PLS calibration model and the rest for the prediction. Bland-Altman and error-grid analyses of the predicted and measured BGL levels indicated clinically acceptable accuracy. We conclude that the new method, named pulse glucometry, has adequate performance for safe, noninvasive estimation of BGL.
Authors:
K Yamakoshi; Y Yamakoshi
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of biomedical optics     Volume:  11     ISSN:  1083-3668     ISO Abbreviation:  J Biomed Opt     Publication Date:    2006 Sep-Oct
Date Detail:
Created Date:  2006-11-09     Completed Date:  2007-01-17     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  9605853     Medline TA:  J Biomed Opt     Country:  United States    
Other Details:
Languages:  eng     Pagination:  054028     Citation Subset:  IM    
Affiliation:
Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa 920-1192, Japan. yamakosi@t.kanazawa-u.ac.jp
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Blood Glucose / analysis*
Blood Glucose Self-Monitoring / instrumentation*,  methods
Computer Systems
Diagnosis, Computer-Assisted / instrumentation*
Equipment Design
Equipment Failure Analysis
Fiber Optic Technology / instrumentation*,  methods
Humans
Reproducibility of Results
Sensitivity and Specificity
Spectrophotometry, Infrared / instrumentation*
Chemical
Reg. No./Substance:
0/Blood Glucose

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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