Extraction of glucose information in blood glucose measurement by noninvasive near-infrared spectra

2005 ◽  
Author(s):  
Rong Liu ◽  
Wenliang Chen ◽  
Xiaoyu Gu ◽  
Yunhan Luo ◽  
Kexin Xu
Keyword(s):  
Blood Glucose ◽  
Infrared Spectra ◽  
Near Infrared ◽  
Blood Glucose Measurement ◽  
Glucose Measurement ◽  
Near Infrared Spectra

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.

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.

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.

Sign in / Sign up

Export Citation Format

Share Document