scholarly journals Designing and Implementation of Non Invasive Blood Glucose and Hemoglobin Detection using NIR

2020 ◽  
Vol 9 (11) ◽  
pp. 229-232
Keyword(s):  
Blood Sugar ◽  
Glucose Concentration ◽  
Near Infrared ◽  
Low Cost ◽  
Nir Spectroscopy ◽  
Hemoglobin Concentration ◽  
Diabetic Patients ◽  
Optical Signals ◽  
Non Invasive ◽  
Sugar Levels

our project describes the tactic of measurement of the glucose concentration and simultaneously hemoglobin within the human blood non-invasively using the painless near infrared-based optical technique. In recent practice, the concentration of glucose and hemoglobin in blood is measured using invasive techniques which generally involve pricking finger (commercial Glucometer and samples using spectroscopy). The frequent finger pricking causes damages on the skin and also increases the danger of spreading infectious diseases. So, the development of non-invasive blood sugar and hemoglobin measurement system are going to be a boon to diabetic patients. The designed system uses Near Infrared (NIR) spectroscopy to work out blood sugar levels supported transmittance spectroscopy emitting signals of 940nm wavelength. These optical signals are sent through the fingertip and reflected signals are detected by phototransistor placed beside. The glucose concentration and therefore the hemoglobin within the blood are determined by analyzing the variation within the intensity of the received signal obtained after reflection. The described system is majorly useful for diabetic patients. In our project, we used Ardunio Uno for the acquisition and processing of the signals. The developed low-cost device could avoid complicated procedures and provides continuous monitoring of glucose and hemoglobin concentration.

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

2010 ◽  
Vol 24 (6) ◽  
pp. 629-639 ◽  
Author(s):  
Simon C. H. Lam ◽  
Joanne W. Y. Chung ◽  
K. L. Fan ◽  
Thomas K. S. Wong
Keyword(s):  
Blood Glucose ◽  
Glucose Concentration ◽  
Near Infrared ◽  
Drift Time ◽  
Nir Spectroscopy ◽  
Physiological Effect ◽  
Blood Glucose Measurement ◽  
Partial Least Square ◽  
Glucose Measurement ◽  
Non Invasive

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.

scholarly journals Glucose concentration monitoring using near infrared spectrum of spent dialysis fluid in hemodialysis patients

2020 ◽  
pp. 90-90
Author(s):  
Valentina Matovic ◽  
Jasna Trbojevic-Stankovic ◽  
Branislava Jeftic ◽  
Lidija Matija
Keyword(s):  
Glucose Concentration ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Hemodialysis Patients ◽  
Maintenance Hemodialysis ◽  
Diabetic Patients ◽  
Dialysis Fluid ◽  
Major Health Problem ◽  
Hemodialysis Treatment ◽  
Spent Dialysate

Introduction/Objective. Diabetic nephropathy leading to end-stage renal disease is a major health problem worldwide. Hemodialysis treatment is associated with glycemia variations. Diabetic patients on hemodialysis might benefit from a noninvasive online glycemia monitoring system. The aim of this study was to assess the glucose concentration from the matrix of the spent dialysate fluid using Near infrared (NIR) Spectroscopy. Methods. Blood samples and spent dialysate have been collected in the 15th minute of the hemodialysis treatment from 15 patients. The spent dialysis fluid has been characterized by a NIR spectrometer in the range of 900-1300 nm. In order to apply the artificial neural network (ANN) and train it, the MATLNFTOOL program was used. The testing and training of the ANN were executed using the NIR spectrum of the spent dialysis fluid as input, and the glucose concentration as output. Results. A significant correlation in excess of 93% between the NIR spectrum of the spent dialysate and the blood glucose concentration (3-9 mmol/l) has been found. Conclusions. NIR spectroscopy is a noninvasive and reliable method of glycemia monitoring which can be used in maintenance hemodialysis patients.

scholarly journals Near Infrared Spectrum for Non-Invasive Glucose Measurement

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Ghozzi Dorsaf
Keyword(s):  
Glucose Concentration ◽  
Near Infrared ◽  
Glucose Monitoring ◽  
Nir Spectroscopy ◽  
Well Being ◽  
Glucose Measurement ◽  
Non Invasive ◽  
Novel Approach ◽  
Clarke Error Grid

This paper deals with novel approach for non-invasive glucose monitoring based on NIR spectroscopy. The technique was demonstrated on 300 human serums of different concentrations range of 08-297 mg/dl. In order to compare the proposed approach to a standard one, a regression analysis was performed and used to predict glucose concentration overall range of values. In vitro experiments showed a strong correlation between noninvasively device result and real glucose concentration. The correlation was 0.97 and Clarke error grid analysis showed that 97.33% of the measured fall within the clinically acceptable regions. Results showed that the created model can open a new path to a real-time, painless and a portable device that would well-being the lives of millions of diabetics in the world.

Plasminogen Activation in Diabetes Mellitus: Normalization of Blood Sugar Levels Improves Impaired Enzyme Kinetics In Vitro

1985 ◽  
Vol 54 (02) ◽  
pp. 413-414 ◽  
Author(s):  
Margarethe Geiger ◽  
Bernd R Binder
Keyword(s):  
Plasminogen Activator ◽  
Blood Sugar ◽  
Metabolic Disorders ◽  
Normal Values ◽  
Diabetic Patients ◽  
Type I ◽  
Plasminogen Activation ◽  
Lag Period ◽  
Sugar Levels

SummaryWe have demonstrated previously that fibrin enhanced plasmin formation by the vascular plasminogen activator was significantly impaired, when components isolated from the plasma of three uncontrolled diabetic patients (type I) were used to study plasminogen activation in vitro. In the present study it can be demonstrated that functional properties of the vascular plasminogen activators as well as of the plasminogens from the same three diabetic patients are significantly improved after normalization of blood sugar levels and improvement of HbAlc values. Most pronounced the Km of diabetic vascular plasminogen activator in the presence of fibrin returned to normal values, and for diabetic plasminogen the prolonged lag period until maximal plasmin formation occurred was shortened to almost control values. From these data we conclude that the observed abnormalities of in vitro fibrinolysis are not primarily associated with the diabetic disease, but might be secondary to metabolic disorders caused by diabetes.

scholarly journals Feasibility of Using VIS/NIR Spectroscopy and Multivariate Analysis for Pesticide Residue Detection in Tomatoes

Processes ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 196
Author(s):  
Araz Soltani Nazarloo ◽  
Vali Rasooli Sharabiani ◽  
Yousef Abbaspour Gilandeh ◽  
Ebrahim Taghinezhad ◽  
Mariusz Szymanek ◽  
...  
Keyword(s):  
Near Infrared ◽  
Cross Validation ◽  
Low Cost ◽  
Moving Average ◽  
Nir Spectroscopy ◽  
Control Treatment ◽  
Residue Detection ◽  
Non Destructive ◽  
Reflective Spectroscopy

The purpose of this work was to investigate the detection of the pesticide residual (profenofos) in tomatoes by using visible/near-infrared spectroscopy. Therefore, the experiments were performed on 180 tomato samples with different percentages of profenofos pesticide (higher and lower values than the maximum residual limit (MRL)) as compared to the control (no pesticide). VIS/near infrared (NIR) spectral data from pesticide solution and non-pesticide tomato samples (used as control treatment) impregnated with different concentrations of pesticide in the range of 400 to 1050 nm were recorded by a spectrometer. For classification of tomatoes with pesticide content at lower and higher levels of MRL as healthy and unhealthy samples, we used different spectral pre-processing methods with partial least squares discriminant analysis (PLS-DA) models. The Smoothing Moving Average pre-processing method with the standard error of cross validation (SECV) = 4.2767 was selected as the best model for this study. In addition, in the calibration and prediction sets, the percentages of total correctly classified samples were 90 and 91.66%, respectively. Therefore, it can be concluded that reflective spectroscopy (VIS/NIR) can be used as a non-destructive, low-cost, and rapid technique to control the health of tomatoes impregnated with profenofos pesticide.

scholarly journals Low-Glycemic-Index Sugar in Type 2 Diabetic Patients: A Randomized Controlled Study

2021 ◽  
Author(s):  
Damien Steciuk ◽  
Samia Mahmood Hafez Amir ◽  
Muzzammil Hosenally ◽  
Aroushini Goorapah
Keyword(s):  
Blood Sugar ◽  
Glycemic Index ◽  
Glucose Monitoring ◽  
Controlled Study ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Sugar Levels ◽  
Type 2 Diabetic ◽  
Low Glycemic Index

Abstract Background and Objectives: There is a need to re assess the value of low-GI food and its specific components. The effect of one of them, namely low-glycemic-index sugar, is unclear, as its impact is usually confounded when reported in the literature. This study attempts to breach this gap, shedding light on its effect in type 2 diabetic patients and evaluate if it could be considered as part of a dietary plan.Subjects and Methods: The blood sugar level of twenty (20) type 2 diabetics was monitored using a Continuous Glucose Monitoring system during two phases; firstly, an initial period of 5 days, whereby all the included patients were taking their usual dietary meals. Subjects were then randomized into two groups of equal size before embarking on a second phase; 10 subjects were instructed to eat prepared, portioned and delivered meals, the difference for the second group being that low-GI sugar was used for the preparation. Results: Compared to baseline (day 1), blood sugar dropped by 18% for the group with low-GI sugar and 13% for those who consumed sugar with a normal-GI. The variation in sugar levels was also more contained in the interventional group. A by-product of the study design shows that constant glucose monitoring could raise awareness, and may foster reduction in blood sugar levels. Portioned food was capable of reducing blood sugar levels, with elevated levels of compliance just after start. Conclusions: Even though the ultimate aim is to reduce sugar consumption by diabetic patients, the intake of a low-GI sugar seems to be less harmful than normal sugar. Compared to using normal sugar for the preparation of portioned foods, the use of a low-GI sugar is encouraged as part of a wider plan for the management of diabetic patients.

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