Detection of Blood Glucose Level in Mice using Ultrasonic-assisted Mid-infrared Fourier Spectroscopy for realizing Earring-type Non-invasive Blood Glucose Sensors

2018 ◽  
Author(s):  
Natsumi KAWASHIMA ◽  
Tomoya KITAZAKI ◽  
Hiroyuki NOMURA ◽  
Akira NISHIYAMA ◽  
Kenji WADA ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Glucose Sensors ◽  
Fourier Spectroscopy ◽  
Mid Infrared ◽  
Non Invasive ◽  
Ultrasonic Assisted

scholarly journals Comparison of Functional Regression and Functional Principal Component Regression for Estimating Non-Invasive Blood Glucose Level

2021 ◽  
Vol 5 (1) ◽  
pp. 14-25
Author(s):  
Nurul Fadhilah ◽  
Erfiani Erfiani ◽  
Indahwati Indahwati
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Principal Component Regression ◽  
Principal Component ◽  
Functional Regression ◽  
Glucose Levels ◽  
Non Invasive ◽  
Blood Glucose Levels ◽  
Functional Principal Component

The calibration method is an alternative method that can be used to analyze the relationship between invasive and non-invasive blood glucose levels. Calibration modeling generally has a large dimension and contains multicolinearities because usually in functional data the number of independent variables (p) is greater than the number of observations (p>n). Both problems can be overcome using Functional Regression (FR) and Functional Principal Component Regression (FPCR). FPCR is based on Principal Component Analysis (PCA). In FPCR, the data is transformed using a polynomial basis before data reduction. This research tried to model the equations of spectral calibration of voltage value excreted by non-invasive blood glucose level monitoring devices to predict blood glucose using FR and FPCR. This study aimed to determine the best calibration model for measuring non-invasive blood glucose levels with the FR and FPCR. The results of this research showed that the FR model had a bigger coefficient determination (R2) value and lower Root Mean Square Error (RMSE) and Root Mean Square Error Prediction (RMSEP) value than the FPCR model, which was 12.9%, 5.417, and 5.727 respectively. Overall, the calibration modeling with the FR model is the best model for estimate blood glucose level compared to the FPCR model.

scholarly journals Biochemical markers in saliva of patients with diabetes mellitus

2012 ◽  
Vol 59 (4) ◽  
pp. 198-204 ◽  
Author(s):  
Biljana Andjelski-Radicevic ◽  
Radica Dozic ◽  
Tatjana Todorovic ◽  
Ivan Dozic
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Diabetic Patients ◽  
Non Invasive ◽  
Stress Markers ◽  
Frequent Monitoring ◽  
Patients With Diabetes ◽  
Protein Components

Diabetes mellitus is metabolic syndrome characterized by disorder in metabolism of carbon hydrates, lipids and proteins. The diagnosis of diabetes is established by measuring the blood glucose level using standardized methods. Frequent monitoring of blood glucose level could be inconvenient for patients because of possible pain during blood sample taking. In the last few years biological materials with non invasive sampling, like saliva, have been analyzed. Research has confirmed that some organic and inorganic components of saliva are modified in diabetic patients (glucose, lipid and protein components, oxidative stress markers, electrolytes). Beside other markers, the analysis of glucose in saliva is an attempt to find a non-invasive and painless way for frequent monitoring of glucose concentration in diabetic patients. Collecting saliva is simple and economical, it neither requires expensive equipment nor specially trained staff. Saliva can be taken many times and in unlimited quantity. In regards to the data about the possibilities for using saliva as biological sample in monitoring diabetes mellitus, which could be alternative to blood serum or plasma, the conclusion is that saliva becomes more important in this context.

Glucose Sensors in Viscera and Control of Blood Glucose Level

Physiology ◽  
1987 ◽  
Vol 2 (5) ◽  
pp. 164-167 ◽  
Author(s):  
A Niijima ◽  
N Mei
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Glucose Sensors ◽  
Sensory Signals ◽  
And Control

In addition to the well-known glucose-responsive neurons in the hypothalamus, recent studies of sensory signals from the visceral area have brought us a new understanding of the mechanisms that control the blood glucose level. The activity of efferent fibres to the pancreas and the liver is precisely modulated, not only by central hypothalamic glucoreceptors but also by peripheral (hepatic and intestinal) glucoreceptors.

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