Glycemic Monitoring and Prediction With Response Improvement via Psyllium

2019 ◽  
pp. 185-203 ◽  
Author(s):  
Sally Shuk Han Pang ◽  
Kwok Tai Chui ◽  
Miltiadis D. Lytras
Keyword(s):  
Blood Glucose ◽  
Metabolic Diseases ◽  
Control Function ◽  
Blood Glucose Concentration ◽  
Glucose Monitoring ◽  
Type Ii Diabetes Mellitus ◽  
Blood Glucose Monitoring ◽  
Glycemic Response ◽  
Improvement Effect ◽  
Glycemic Monitoring

Fibers are proven to provide health benefits in preventing metabolic diseases. This chapter first presents the existing blood glucose monitoring sensors and a prediction model for blood glucose concentration. It also aims at analyzing the efficacy of a functional fiber, psyllium on the glycemic control function. Three studies included suggesting psyllium supplementation would significantly improve glycemic response while two studies included showed no effects. Advantages and limitations of each study were evaluated. Overall, it is generally believed that psyllium might give glycemic response improvement effect, especially in Type II Diabetes Mellitus patients.

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.

Design of Automatic Insulin Dosage Indicator for Diabetic Patients Using BMI

2020 ◽  
pp. 69-74
Author(s):  
Kanimozhi R ◽  
Saravanakumar S
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Blood Glucose Concentration ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Insulin Dosage ◽  
Diabetic Patients ◽  
Monitoring Methods ◽  
Invasive Techniques

Diabetes Mellitus is a serious and chronic health disease. It occurs in all age group of people, especially in adults and aged persons. It is important to measure blood glucose level frequently for the diabetes affected persons which in need to determine the appropriate insulin dosage. Along with this, the continuous glucose monitoring is vital to know whether the glucose level is in normal range. The conventional method used to measure the glucose level in blood is invasive which is infectious and a painful process. Nowadays, the non-invasive blood glucose monitoring methods are widely used. In this work, the blood glucose level is measured non-invasively using IR sensor. Besides that, the indication of insulin dosage to be taken is done by determining blood glucose concentration (non- invasively) and comparing it with Body Mass Index (BMI) of the patient. The implementation is based on the variations in the intensity of the IR LED, BMI and blood density. Themethod ismore reliable than the invasive techniques.

The Research of Blood Glucose Monitoring System Based on Biosensor

2013 ◽  
Vol 765-767 ◽  
pp. 2359-2363 ◽  
Author(s):  
Jing Xian Feng ◽  
Ming Quan Wang ◽  
Shi Zhang
Keyword(s):  
Blood Glucose ◽  
Data Transmission ◽  
Hardware Implementation ◽  
Blood Glucose Concentration ◽  
Glucose Monitoring ◽  
Wireless Transmission ◽  
Blood Glucose Monitoring ◽  
Signal Acquisition ◽  
Software Management ◽  
Embedded Microprocessor

The detection of blood glucose concentration plays an important role in diabetes treatment. This paper proposes a design which is compatible with finger blood signal acquisition and dynamic blood sugar monitoring in real time. It mainly studies different biosensors which are used to do the glucose signal acquisition. Then we discuss the processing methods of human blood glucose signal using the sensors we studied. This paper outlines the hardware implementation and software management. Based on the core of STM32 embedded microprocessor, the system can achieve glucose signal acquisition, LCD display, historical records restore, data transmission by USB and wireless transmission through Bluetooth. At last, system functions are tested. It is proved that the system is reliable and performs well.

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.

scholarly journals Feasibility Evaluation of Metamaterial Microwave Sensors for Non-Invasive Blood Glucose Monitoring

Sensors ◽  
2021 ◽  
Vol 21 (20) ◽  
pp. 6871
Author(s):  
Lukas Malena ◽  
Ondrej Fiser ◽  
Paul R. Stauffer ◽  
Tomas Drizdal ◽  
Jan Vrba ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Glucose Concentration ◽  
Blood Glucose Concentration ◽  
Numerical Models ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Maximum Relative Error ◽  
Non Invasive ◽  
Unit Cells ◽  
Higher Sensitivity

The use of microwave technology is currently under investigation for non-invasive estimation of glycemia in patients with diabetes. Due to their construction, metamaterial (MTM)-based sensors have the potential to provide higher sensitivity of the phase shift of the S21 parameter (∠S21) to changes in glucose concentration compared to standard microstrip transmission line (MSTL)-based sensors. In this study, a MSTL sensor and three MTM sensors with 5, 7, and 9 MTM unit cells are exposed to liquid phantoms with different dielectric properties mimicking a change in blood glucose concentration from 0 to 14 mmol/L. Numerical models were created for the individual experiments, and the calculated S-parameters show good agreement with experimental results, expressed by the maximum relative error of 8.89% and 0.96% at a frequency of 1.99 GHz for MSTL and MTM sensor with nine unit cells, respectively. MTM sensors with an increasing number of cells show higher sensitivity of 0.62° per mmol/L and unit cell to blood glucose concentration as measured by changes in ∠S21. In accordance with the numerical simulations, the MTM sensor with nine unit cells showed the highest sensitivity of the sensors proposed by us, with an average of 3.66° per mmol/L at a frequency of 1.99 GHz, compared to only 0.48° per mmol/L for the MSTL sensor. The multi-cell MTM sensor has the potential to proceed with evaluation of human blood samples.

scholarly journals Modeling and Measurement of Correlation between Blood and Interstitial Glucose Changes

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Ting Shi ◽  
Dachao Li ◽  
Guoqing Li ◽  
Yiming Zhang ◽  
Kexin Xu ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Interstitial Fluid ◽  
Blood Glucose Concentration ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Lag Phase ◽  
Physiological Factors ◽  
Continuous Blood Glucose Monitoring ◽  
Interstitial Glucose ◽  
Lag Times

One of the most effective methods for continuous blood glucose monitoring is to continuously measure glucose in the interstitial fluid (ISF). However, multiple physiological factors can modulate glucose concentrations and affect the lag phase between blood and ISF glucose changes. This study aims to develop a compensatory tool for measuring the delay in ISF glucose variations in reference to blood glucose changes. A theoretical model was developed based on biophysics and physiology of glucose transport in the microcirculation system. Blood and interstitial fluid glucose changes were measured in mice and rats by fluorescent and isotope methods, respectively. Computer simulation mimicked curves were fitted with data resulting from fluorescent measurements of mice and isotope measurements of rats, indicating that there were lag times for ISF glucose changes. It also showed that there was a required diffusion distance for glucose to travel from center of capillaries to interstitial space in both mouse and rat models. We conclude that it is feasible with the developed model to continuously monitor dynamic changes of blood glucose concentration through measuring glucose changes in ISF with high accuracy, which requires correct parameters for determining and compensating for the delay time of glucose changes in ISF.

scholarly journals Glucose levels between the anterior chamber of the eye and blood are correlated based on blood glucose dynamics

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0256986
Author(s):  
Toshihide Kurihara ◽  
Deokho Lee ◽  
Ari Shinojima ◽  
Taku Kinoshita ◽  
Saori Nishizaki ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Anterior Chamber ◽  
Metabolic Diseases ◽  
Glucose Monitoring ◽  
University Hospital ◽  
Blood Glucose Monitoring ◽  
Monitoring Site ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Glucose Dynamics

Glycemic control is essential to manage metabolic diseases such as diabetes. Frequent measurements of systemic glucose levels with prompt managements can prevent organ damages. The eye is a glucose highly demanding organ in our body, and the anterior chamber (AC) in the eye has been suggested for a noninvasive blood glucose monitoring site. However, calculating blood glucose levels from measuring glucose levels in AC has been difficult and unclear. In this study, we aimed to examine glucose levels from AC and find a correlation with blood glucose levels. A total of 30 patients with cataracts (men and women, study 1; 7 and 3, study 2; 9 and 11) who visited Keio University Hospital from 2015 to 2018 and agreed to participate in this study were recruited. Glucose levels from AC and the blood were examined by a UV-hexokinase or H2O2-electrode method before/during the cataract surgery. These values were analyzed with regression analyses depending on the groups (blood glucose-ascending and descending groups). In the blood glucose-descending group, glucose levels from AC were strongly correlated with blood glucose levels (a high R2 value, 0.8636). However, the relatively moderate correlation was seen in the blood glucose-ascending group (a low R2 value, 0.5228). Taken together, we showed different correlation ratios on glucose levels between AC and the blood, based on blood glucose dynamics. Stacking data regarding this issue would enable establishing noninvasive blood glucose monitoring from measuring glucose levels in AC more correctly, which will be helpful for proper and prompt managements for glucose-mediated complications.

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