scholarly journals Noninvasive blood glucose monitoring system based on near-infrared method

2020 ◽  
Vol 10 (2) ◽  
pp. 1736
Author(s):  
Mustafa Ayesh Al-dhaheri ◽  
Nasr-Eddine Mekkakia-Maaza ◽  
Hassan Mouhadjer ◽  
Abdelghani Lakhdari
Keyword(s):  
Blood Glucose ◽  
Monitoring System ◽  
Glucose Concentration ◽  
Near Infrared ◽  
Blood Glucose Concentration ◽  
Blood Glucose Monitoring ◽  
Calibration Model ◽  
Invasive Monitoring ◽  
Analog Filter ◽  
Noninvasive Technique

Diabetes is considered one of the life-threatening diseases in the world which need continuous monitoring to avoid the complication of diabetes. There is a need to develop a non-invasive monitoring system that avoids the risk of infection problems and pain caused by invasive monitoring techniques. This paper presents a method for developing a noninvasive technique to predict the blood glucose concentration (BCG) based on the Near-infrared (NIR) light sensor. A prototype is developed using a finger sensor based on LED of 940 nm wavelength to collect photoplethysmography (PPG) signal which is variable depending on the glucose concentration variance, a module circuit to preprocess PPG signals is realized, which includes an amplifier and analog filter circuits, an Arduino UNO is used to analog-to-digital conversion. A digital Butterworth filterer is used to remove PPG signal trends, then detect the PPG data peaks to determine the relationship between the PPG signal and (BCG) and use it as input parameters to build the calibration model based on linear regression. Experiments show that the Root Mean Squares Error (RMSE) of the prediction is between 8.264mg/dL and 13.166 mg/dL, the average of RMSE is about 10.44mg/dL with a correlation coefficient (R^2) of 0.839, it is observed that the prediction of glucose concentration is in the clinically acceptable region of the standard Clark Error Grid (CEG).

Dispositivo de Monitoreo de Glucosa en Sangre No Invasivo mediante Infrarrojo Cercano

2021 ◽  
Author(s):  
◽  
G. Silos Chincoya
Keyword(s):  
Blood Glucose ◽  
Glucose Concentration ◽  
Near Infrared ◽  
Blood Glucose Concentration ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Signal Acquisition ◽  
Infrared Transmission ◽  
Glucose Levels ◽  
Concentration Levels

This researching study aims to report the development of a prototype device that may provide the estimation of the blood glucose concentration levels non-invasively using near-infrared transmission spectroscopy techniques. The system works in three stages: signal acquisition, calibration, and estimation of blood glucose concentration levels. The acquisition of the signal used an optical sensor based on a transimpedance circuit to obtain the different intensity changes of the emitting source in terms of voltage. The calibration of the proposed device was carried out taking as reference, the values of a commercial device that performs invasive blood glucose monitoring, with the aim of obtaining greater precision. In the last stage, the Lambert-Beer Law is mainly used to estimate glucose concentration. The proposed device presents a relationship between optical signals and variations in blood glucose levels with an accuracy of 90% in average which is statistically representative considering the class of non-invasive technology used for developing the proposed device.

Accuracy and precision assessment of a new blood glucose monitoring system

2016 ◽  
Vol 54 (1) ◽  
Author(s):  
Li-Nong Ji ◽  
Li-Xin Guo ◽  
Li-Bin Liu
Keyword(s):  
Blood Glucose ◽  
Glucose Concentration ◽  
Blood Glucose Concentration ◽  
Venous Blood ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Blood Samples ◽  
Glucose Testing ◽  
Blood Tests ◽  
Accuracy And Precision

AbstractBlood glucose self-monitoring by individuals with diabetes is essential in controlling blood glucose levels. The International Organization for Standardization (ISO) introduced new standards for blood glucose monitoring systems (BGMS) in 2013 (ISO 15197: 2013). The CONTOUR PLUSThis study evaluated the accuracy and precision of CONTOUR PLUS BGMS in quantitative glucose testing of capillary and venous whole blood samples obtained from 363 patients at three different hospitals.Results of fingertip and venous blood glucose measurements by the CONTOUR PLUS system were compared with laboratory reference values to determine accuracy. Accuracy was 98.1% (96.06%–99.22%) for fingertip blood tests and 98.1% (96.02%–99.21%) for venous blood tests. Precision was evaluated across a wide range of blood glucose values (5.1–17.2 mmol/L), testing three blood samples repeatedly 15 times with the CONTOUR PLUS blood glucose meter using test strips from three lots. All within-lot results met ISO criteria (i.e., SD<0.42 mmol/L for blood glucose concentration <5.55 mmol/L; CV<7.5% for blood glucose concentration ≥5.55 mmol/L). Between-lot variations were 1.5% for low blood glucose concentration, 2.4% for normal and 3.4% for high.Accuracy of both fingertip and venous blood glucose measurements by the CONTOUR PLUS system was >95%, confirming that the system meets ISO 15197: 2013 requirements.

New Methodology to Obtain a Calibration Model for Noninvasive Near-Infrared Blood Glucose Monitoring

2006 ◽  
Vol 60 (4) ◽  
pp. 441-449 ◽  
Author(s):  
Katsuhiko Maruo ◽  
Tomohiro Oota ◽  
Mitsuhiro Tsurugi ◽  
Takehiro Nakagawa ◽  
Hidenobu Arimoto ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Near Infrared ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Calibration Model

Noninvasive Blood Glucose Assay by Near-Infrared Diffuse Reflectance Spectroscopy of the Human Inner Lip

1993 ◽  
Vol 47 (7) ◽  
pp. 875-881 ◽  
Author(s):  
R. Marbach ◽  
Th. Koschinsky ◽  
F. A. Gries ◽  
H. M. Heise
Keyword(s):  
Blood Glucose ◽  
Glucose Concentration ◽  
Diffuse Reflectance ◽  
Near Infrared ◽  
Multivariate Calibration ◽  
Diffuse Reflectance Spectroscopy ◽  
Blood Glucose Concentration ◽  
Venous Blood ◽  
Time Lag ◽  
Blood Glucose Concentrations

Near-infrared (NIR) spectra of the human inner lip were obtained by using a special optimized accessory for diffuse reflectance measurements. The partial-least squares (PLS) multivariate calibration algorithm was applied for linear regression of the spectral data between 9000 and 5500 cm−1 (Λ = 1.1–1.8 μm) against blood glucose concentrations determined by a standard clinical enzymatic method. Calibration experiments with a single person were carried out under varying conditions, as well as with a population of 133 different patients, with capillary and venous blood glucose concentration values provided. A genuine correlation between the blood glucose concentrations and the NIR-spectra can be proven. A time lag of about 10 min for the glucose concentration in the spectroscopically probed tissue volume vs. the capillary concentration can be estimated. Mean-square prediction errors obtained by cross-validation were in the range of 45 to 55 mg/dL. An analysis of different variance factors showed that the major contribution to the average prediction uncertainty was due to the reduced measurement reproducibility, i.e., variations in lip position and contact pressure. The results demonstrate the feasibility of using diffuse reflectance NIR-spectroscopy for the noninvasive measurement of blood glucose.

scholarly journals Noninvasive Monitoring of Blood Glucose Using Color-Coded Photoplethysmographic Images of the Illuminated Fingertip Within the Visible and Near-Infrared Range: Opportunities and Questions

2018 ◽  
Vol 12 (6) ◽  
pp. 1169-1177 ◽  
Author(s):  
Thorsten Vahlsing ◽  
Sven Delbeck ◽  
Steffen Leonhardt ◽  
H. Michael Heise
Keyword(s):  
Blood Glucose ◽  
Glucose Concentration ◽  
Near Infrared ◽  
Molecular Spectroscopy ◽  
Blood Glucose Concentration ◽  
Noninvasive Monitoring ◽  
Infrared Range ◽  
Self Monitoring ◽  
Spectral Signatures ◽  
Near Infrared Range

Noninvasive blood glucose assays have been promised for many years and various molecular spectroscopy-based methods of skin are candidates for achieving this goal. Due to the small spectral signatures of the glucose used for direct physical detection, moreover hidden among a largely variable background, broad spectral intervals are usually required to provide the mandatory analytical selectivity, but no such device has so far reached the accuracy that is required for self-monitoring of blood glucose (SMBG). A recently presented device as described in this journal, based on photoplethysmographic fingertip images for measuring glucose in a nonspecific indirect manner, is especially evaluated for providing reliable blood glucose concentration predictions.

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