Factors Affecting the Accuracy of Non-Invasive Blood Glucose Measurement by Short-Wavelength near Infrared Spectroscopy in the Determination of the Glycaemic Index of Foods

2010 ◽  
Vol 18 (5) ◽  
pp. 291-300 ◽  
Author(s):  
Yasuhiro Uwadaira ◽  
Norihiko Adachi ◽  
Akifumi Ikehata ◽  
Sumio Kawano
Keyword(s):  
Infrared Spectroscopy ◽  
Blood Glucose ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Glycaemic Index ◽  
Blood Glucose Measurement ◽  
Glucose Measurement ◽  
Factors Affecting ◽  
Non Invasive

scholarly journals Improved stability of blood glucose measurement in humans using near infrared spectroscopy

2011 ◽  
Vol 25 (3-4) ◽  
pp. 137-145 ◽  
Author(s):  
C. F. So ◽  
Joanne W. Y. Chung ◽  
Maggie S. M. Siu ◽  
Thomas K. S. Wong
Keyword(s):  
Infrared Spectroscopy ◽  
Blood Glucose ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Spectral Response ◽  
Nir Spectroscopy ◽  
Blood Glucose Measurement ◽  
Blood Glucose Monitoring ◽  
Glucose Measurement ◽  
Prediction Errors

Near infrared (NIR) spectroscopy has become a promising technique for blood glucose monitoring. However, an appropriate model of spectral response in humans is yet to be determined because of the reliability problem. In this study, 48 subjects were recruited. The subjects' left forearms were scanned using near infrared spectroscopy to obtain NIR spectra. Simultaneously, a blood sample of glucose was drawn. A new method based on Monte Carlo approach is applied for partial least squares (PLS), named as PLSMC, is proposed. A large numbers of models are built from calibration subsets which are randomly selected from the whole calibration set in order to minimize the noises. It is then determining the mean value over the models with high correlation and small prediction errors. The results show that the method can enhance the stability of PLS model. Also, the performance of the PLSMCshows more accurate prediction results as compared with conventional PLS.

Net analyte signal with floating reference theory in non-invasive blood glucose sensing by near-infrared spectroscopy

2012 ◽  
Vol 10 (8) ◽  
pp. 083002-83005 ◽  
Author(s):  
Wanjie Zhang Wanjie Zhang ◽  
Rong Liu Rong Liu ◽  
Wen Zhang Wen Zhang ◽  
Jiaxiang Zheng Jiaxiang Zheng ◽  
Kexin Xu Kexin Xu
Keyword(s):  
Infrared Spectroscopy ◽  
Blood Glucose ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Glucose Sensing ◽  
Non Invasive ◽  
Net Analyte Signal ◽  
Analyte Signal ◽  
Reference Theory
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