Preliminary study of mechanism of non-invasive blood glucose measurement based on near-infrared diffuse reflectance spectroscopy

2005 ◽  
Author(s):  
Wenliang Chen ◽  
Rong Liu ◽  
Yunhan Luo ◽  
Yonghui Han ◽  
Kexin Xu
Keyword(s):  
Blood Glucose ◽  
Diffuse Reflectance ◽  
Near Infrared ◽  
Diffuse Reflectance Spectroscopy ◽  
Reflectance Spectroscopy ◽  
Blood Glucose Measurement ◽  
Glucose Measurement ◽  
Non Invasive ◽  
Preliminary Study

scholarly journals Noninvasive Prediction of Glucose by Near-Infrared Diffuse Reflectance Spectroscopy

1999 ◽  
Vol 45 (9) ◽  
pp. 1651-1658 ◽  
Author(s):  
Stephen F Malin ◽  
Timothy L Ruchti ◽  
Thomas B Blank ◽  
Suresh N Thennadil ◽  
Stephen L Monfre
Keyword(s):  
Blood Glucose ◽  
Wavelength Range ◽  
Standard Error ◽  
Diffuse Reflectance ◽  
Near Infrared ◽  
Diffuse Reflectance Spectroscopy ◽  
Reflectance Spectroscopy ◽  
Calibration Model ◽  
Calibration Models ◽  
Blood Glucose Concentrations

Abstract Background: Self-monitoring of blood glucose by diabetics is crucial in the reduction of complications related to diabetes. Current monitoring techniques are invasive and painful, and discourage regular use. The aim of this study was to demonstrate the use of near-infrared (NIR) diffuse reflectance over the 1050–2450 nm wavelength range for noninvasive monitoring of blood glucose. Methods: Two approaches were used to develop calibration models for predicting the concentration of blood glucose. In the first approach, seven diabetic subjects were studied over a 35-day period with random collection of NIR spectra. Corresponding blood samples were collected for analyte analysis during the collection of each NIR spectrum. The second approach involved three nondiabetic subjects and the use of oral glucose tolerance tests (OGTTs) over multiple days to cause fluctuations in blood glucose concentrations. Twenty NIR spectra were collected over the 3.5-h test, with 16 corresponding blood specimens taken for analyte analysis. Results: Statistically valid calibration models were developed on three of the seven diabetic subjects. The mean standard error of prediction through cross-validation was 1.41 mmol/L (25 mg/dL). The results from the OGTT testing of three nondiabetic subjects yielded a mean standard error of calibration of 1.1 mmol/L (20 mg/dL). Validation of the calibration model with an independent test set produced a mean standard error of prediction equivalent to 1.03 mmol/L (19 mg/dL). Conclusions: These data provide preliminary evidence and allow cautious optimism that NIR diffuse reflectance spectroscopy using the 1050–2450 nm wavelength range can be used to predict blood glucose concentrations noninvasively. Substantial research is still required to validate whether this technology is a viable tool for long-term home diagnostic use by diabetics.

scholarly journals Non-Invasive Blood Glucose Measurement Technique for Diabetic Patients

2020 ◽  
Vol 9 (3) ◽  
pp. 4341-4345
Keyword(s):  
Blood Glucose ◽  
Near Infrared ◽  
Chemical Substance ◽  
Blood Glucose Measurement ◽  
Glucose Measurement ◽  
Diabetic Patients ◽  
Blood Samples ◽  
Non Invasive ◽  
Invasive Method ◽  
Precise Quantification

Diabetes mellitus is one of the most spreading diseases prevalent in the world. The Diabetic patients where in desideratum of monitoring their blood glucose level conventionally for a certain periodic of time. If they were nescient of their checkup it may lead to sundry symptoms like the feel profoundly slothful, tired etc. So they require for a periodic check up without fail. In clinic the prefer syringes for amassing the samples,in some worst cases there will be a possibility of unhydrated syringes . For checking they were in desideratum of a modicum of blood samples. For a precise quantification they will integrate some chemical substance to detect the value. While taking blood samples they feel so uncomfortable, pain and if the syringes where already used are not felicitously sterilized it may lead to sundry disease. The another method for quantifying the sample is a non-invasive. In non-invasive method there will be no desideratum of any syringe. It will be pain less and withal comfortable for the patients. In this paper we are introducing a non-invasive method in lieu of invasive method to be liberate from pain. Our proposed system consists of near infrared transmitter and receiver , a light dependent resistor etc,. The rays are sanctioned to passes through the finger it will quantify the glucose present in our cell and the output is given to the processor. The processed output will determine the quantity of glucose present in the blood . Then determinately the obtained output will be exhibited in the Liquid Crystal Exhibit.

In VivoNoninvasive Measurement of Blood Glucose by Near-Infrared Diffuse-Reflectance Spectroscopy

2003 ◽  
Vol 57 (10) ◽  
pp. 1236-1244 ◽  
Author(s):  
Katsuhiko Maruo ◽  
Mitsuhiro Tsurugi ◽  
Mamoru Tamura ◽  
Yukihiro Ozaki
Keyword(s):  
Blood Glucose ◽  
Diffuse Reflectance ◽  
Near Infrared ◽  
Diffuse Reflectance Spectroscopy ◽  
Reflectance Spectroscopy

scholarly journals Non-Invasive Blood Glucose Estimation using Handheld Near Infra-Red Device

2019 ◽  
Vol 8 (3S) ◽  
pp. 16-19 ◽  
Keyword(s):  
Blood Glucose ◽  
Near Infrared ◽  
Blood Glucose Measurement ◽  
Partial Least Square ◽  
Least Square ◽  
Blood Glucose Monitoring ◽  
Glucose Measurement ◽  
Coefficient Of Determination ◽  
Diabetic Patients ◽  
Non Invasive

Non-invasive blood glucose measurement would ease everyday life of diabetic patients and may cut the cost involved in their treatments. This project aims at developing a non-invasive blood glucose measurement using NIR (near infrared) spectroscopic device. NIR spectra data and blood glucose levels were collected from 45 participants, resulting 90 samples (75 samples for calibration and 15 samples for testing) in this project. These samples were then used to develop a predictive model using Interval Partial Least Square (IPLS) regression method. The results obtained from this project indicate that the handheld micro NIR has potential use for rapid non-invasive blood glucose monitoring. The coefficient of determination (R 2 ) obtained for calibration/training and testing dataset are respectively 0.9 and 0.91.

scholarly journals Detecting the NIR Fingerprint of Colors: The Characteristic Response of Modern Blue Pigments

Heritage ◽  
2019 ◽  
Vol 2 (3) ◽  
pp. 2255-2261 ◽  
Author(s):  
Yivlialin ◽  
Galli ◽  
Raimondo ◽  
Martini ◽  
Sassella
Keyword(s):  
Diffuse Reflectance ◽  
Near Infrared ◽  
Diffuse Reflectance Spectroscopy ◽  
Reflectance Spectroscopy ◽  
Composite Sample ◽  
Model Composite ◽  
Non Invasive ◽  
Uv Visible ◽  
Invasive Techniques

Reflectance spectroscopy in the ultraviolet (UV), visible (Vis), and near infrared (NIR) range is widely applied to art studies for the characterization of paints and pigments, with the advantages of non-invasive techniques. Isolating and detecting the fingerprint of pigments, especially in the NIR range, is quite challenging, since the presence of vibrational transitions of the most common organic functional groups prevents to relate the optical spectrum of a composite sample, as an artwork is, to each one of its elements (i.e., support, binder, and specific pigment). In this work, a method is presented to obtain the UV-Vis-NIR optical response of the single components of a model composite sample reproducing an artwork, i.e., the support, the binder, and the pigment or dye, by using diffuse reflectance spectroscopy. This allowed us to obtain the NIR spectral fingerprint of blue pigments and to identify specific features possibly applicable for detecting cobalt and phthalocyanine blue colors in artwork analysis.

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