The Calibration Model for Predicting Non – Invasive Blood Glucose Levels by Using the Principal Component of Quantile Regression

2020 ◽  
Vol 10 (11) ◽  
pp. 193-197
Author(s):  
Siti Arita Novia ◽  
Erfiani . ◽  
Aji Hamim Wigena
Keyword(s):  
Blood Glucose ◽  
Quantile Regression ◽  
Principal Component ◽  
Calibration Model ◽  
Glucose Levels ◽  
Non Invasive ◽  
Blood Glucose Levels

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.

calibration modeling in non invasive blood glucose levels using support vector regression

2018 ◽  
pp. 185-189
Author(s):  
Rosni A ◽  
Hari Wijayanto ◽  
Erfiani A
Keyword(s):  
Blood Glucose ◽  
Support Vector Regression ◽  
The Body ◽  
Coefficient Of Determination ◽  
Support Vector ◽  
Measurement Tool ◽  
Calibration Model ◽  
Glucose Levels ◽  
Non Invasive ◽  
Blood Glucose Levels

accurate measurement of blood glucose levels is needed in the treatment and prevention of diabetes mellitus. blood glucose levels can be measured by injuring (invasive) and not injuring (non-invasive) parts of the body. invasive measurements can cause discomfort for patients and require relatively more expensive costs. one alternative to overcome this problem is to develop a non-invasive measurement tool. the relationship between the two measurement results can be modeled using calibration. the aim of this study was to predict non-invasive blood glucose levels. the data used were part of the data on prototype clinical trial and development research for monitoring tools for non invasive blood glucose levels at the bogor agricultural university (ipb). the approach method used was support vector regression (svr) for high dimensional data in the calibration model. the results indicated that the svr using a base radial kernel was the best model. prediction results of non-invasive blood glucose levels had closer blood glucose levels to the results of invasive measurements. this wass supported by a greater value of the coefficient of determination and the smaller value of root mean square error prediction. furthermore, it can be concluded that the model obtained could be used to predict non-invasive glucose levels and could be recommended to related sectors. however, these results were still in a narrow range of data so that it becomes a suggestion for related parties to use more samples in order to widened the range of data.

scholarly journals Non-Invasive Determination of Blood Glucose Levels by Optical Waveguide

2021 ◽  
Author(s):  
Mohsen Askarbioki ◽  
Mojtaba Mortazavi ◽  
Abdolhamid Amooee ◽  
Saeid Kargar ◽  
Mohammad Afkhami-Ardekani ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Optical Waveguide ◽  
Interstitial Fluid ◽  
Evanescent Waves ◽  
The Body ◽  
Statistical Population ◽  
Glucose Levels ◽  
Non Invasive ◽  
Blood Glucose Levels

Objective: Today, there are various non-invasive techniques available for the determination of blood glucose levels. In this study, the level of blood glucose was determined by developing a new device using near-infrared (NIR) wavelength, glass optical waveguide, and the phenomenon of evanescent waves. Materials and Methods: The body's interstitial fluid has made possible the development of new technology to measure the blood glucose. As a result of contacting the fingertip with the body of the borehole rod, where electromagnetic waves are reflected inside, evanescent waves penetrate from the borehole into the skin and are absorbed by the interstitial fluid. The electromagnetic wave rate absorption at the end of the borehole rod is investigated using a detection photodetector, and its relationship to the people's actual blood glucose level. Following precise optimization and design of the glucose monitoring device, a statistical population of 100 participants with a maximum blood glucose concentration of 200 mg/dL was chosen. Before measurements, participants put their index finger for 30 seconds on the device. Results: According to this experimental study, the values measured by the innovative device with Clark grid analysis were clinically acceptable in scales A and B. The Adjusted Coefficient of Determination of the data was estimated to be 0.9064. Conclusion: For future investigations, researchers are recommended to work with a larger statistical population and use error reduction trends to improve the accuracy and expand the range of measurements.

scholarly journals A Review of Non-Invasive Optical Systems for Continuous Blood Glucose Monitoring

Sensors ◽  
2021 ◽  
Vol 21 (20) ◽  
pp. 6820
Author(s):  
Bushra Alsunaidi ◽  
Murad Althobaiti ◽  
Mahbubunnabi Tamal ◽  
Waleed Albaker ◽  
Ibraheem Al-Naib
Keyword(s):  
Blood Glucose ◽  
Glucose Monitoring ◽  
Daily Basis ◽  
Glucose Sensing ◽  
Blood Glucose Monitoring ◽  
Optical Systems ◽  
Glucose Levels ◽  
Non Invasive ◽  
Blood Glucose Levels ◽  
Continuous Blood Glucose Monitoring

The prevalence of diabetes is increasing globally. More than 690 million cases of diabetes are expected worldwide by 2045. Continuous blood glucose monitoring is essential to control the disease and avoid long-term complications. Diabetics suffer on a daily basis with the traditional glucose monitors currently in use, which are invasive, painful, and cost-intensive. Therefore, the demand for non-invasive, painless, economical, and reliable approaches to monitor glucose levels is increasing. Since the last decades, many glucose sensing technologies have been developed. Researchers and scientists have been working on the enhancement of these technologies to achieve better results. This paper provides an updated review of some of the pioneering non-invasive optical techniques for monitoring blood glucose levels that have been proposed in the last six years, including a summary of state-of-the-art error analysis and validation techniques.

scholarly journals BREATH ACETONE-BASED NON-INVASIVE DETECTION OF BLOOD GLUCOSE LEVELS

2015 ◽  
Vol 8 (2) ◽  
pp. 1244-1260 ◽  
Author(s):  
Anand Thati ◽  
Arunangshu Biswas ◽  
Shubhajit Roy Chowdhury ◽  
Tapan Kumar Sau
Keyword(s):  
Blood Glucose ◽  
Glucose Levels ◽  
Non Invasive ◽  
Blood Glucose Levels ◽  
Breath Acetone

scholarly journals Bioimpedance and NIR for non-invasive assessment of blood glucose

2019 ◽  
Vol 10 (1) ◽  
pp. 133-138 ◽  
Author(s):  
Jan-Hugo Andersen ◽  
Olav Bjerke ◽  
Fatos Blakaj ◽  
Vilde Moe Flugsrud ◽  
Fredrik Alstad Jacobsen ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Electrical Impedance ◽  
Near Infrared ◽  
Soft Drink ◽  
Electrical Impedance Spectroscopy ◽  
Electrical Measurements ◽  
High Blood Glucose ◽  
Glucose Levels ◽  
Non Invasive ◽  
Blood Glucose Levels

Abstract Sixteen volunteers each drank 700 ml sugar-containing soft drink during two successive periods and the blood sugar was measured at 10 min intervals together with electrical impedance spectroscopy and near infrared spectroscopy (NIR). A maximum correlation of 0.46 was found for the electrical measurements but no clear separation between low and high blood glucose levels were found in the NIR measurements. The latter was attributed to the experimental design where the NIR probe was removed from the skin between each measurement.

scholarly journals Pre-clinical test for non-invasive (in vitro) blood glucose levels measuring at visible light wavelengths

2021 ◽  
Author(s):  
Irzaman ◽  
R. P. Jenie ◽  
Y. Suryana ◽  
S. Prambudi ◽  
T. Widayanti ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Visible Light ◽  
Clinical Test ◽  
Glucose Levels ◽  
Non Invasive ◽  
Blood Glucose Levels

scholarly journals Assessment of the salivary glucose as a non-invasive test for diabetic patients

2019 ◽  
Vol 6 (6) ◽  
pp. 2289
Author(s):  
Kajol Thapa ◽  
Saroj Kunwar ◽  
Sonu Thapa ◽  
Asmita Phuyal ◽  
Sahil Rupakheti
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Glucose Level ◽  
Fasting Blood Glucose ◽  
Diabetic Patients ◽  
Glucose Levels ◽  
Non Invasive ◽  
Invasive Test ◽  
Blood Glucose Levels ◽  
Institutional Review

Background: Over the recent year there has been a startling rise in the number of people suffering from diabetes mellitus. Estimation of blood glucose levels has been an essential laboratory investigation for screening and monitoring of diabetes. Saliva is one of the secretions in human body whose collection is easy and non-invasive. Salivary glucose hence could serve as an easy and non-invasive tool.Methods: Institutional review committee of NHRC gave us permission to carry out this study. 105 subjects with Type 2 diabetes mellitus who attended the OPD at Star hospital, Sanepa, Lalitpur, Nepal and 106 healthy individuals were consented to participate in this study. Glucose was measured by the GOD-POD (Glucose oxidase peroxidase) methods using the semi-autoanalyser and salivary glucose was compared with corresponding blood glucose levels.Results: A significant positive correlation of fasting salivary glucose level and fasting blood glucose level was observed in healthy (r=0.241, p=0.001) and in diabetic patients (r=0.202, p=0.001).Conclusions: The study implies a potential for saliva in monitoring and screening of diabetes mellitus.

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