Impedance Spectroscopy of Aqueous Solution Samples of Different Glucose Concentrations for the Exploration of Non-Invasive-Continuous-Blood-Glucose-Monitoring

Singh, Satish; Sen, Kushal; Anand, Sneh

doi:10.1007/s12647-017-0242-4

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…Some studies have investigated the correlation between changes in glucose levels and bioimpedance ( Das et al, 2017 ; Zhu F. et al, 2020 ; Jose et al, 2019 ; Satish et al, 2017 ). A recent study showed an inverse relationship between glucose concentration and the bioimpedance difference in blood volume ( Li et al, 2018 ).…”

Section: Non-invasive Sensors and Wearablesmentioning

confidence: 99%

Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection

Alhaddad

Aly

Gad

et al. 2022

Front. Bioeng. Biotechnol.

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Diabetes mellitus is characterized by elevated blood glucose levels, however patients with diabetes may also develop hypoglycemia due to treatment. There is an increasing demand for non-invasive blood glucose monitoring and trends detection amongst people with diabetes and healthy individuals, especially athletes. Wearable devices and non-invasive sensors for blood glucose monitoring have witnessed considerable advances. This review is an update on recent contributions utilizing novel sensing technologies over the past five years which include electrocardiogram, electromagnetic, bioimpedance, photoplethysmography, and acceleration measures as well as bodily fluid glucose sensors to monitor glucose and trend detection. We also review methods that use machine learning algorithms to predict blood glucose trends, especially for high risk events such as hypoglycemia. Convolutional and recurrent neural networks, support vector machines, and decision trees are examples of such machine learning algorithms. Finally, we address the key limitations and challenges of these studies and provide recommendations for future work.

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Section: Non-invasive Sensors and Wearablesmentioning

confidence: 99%

Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection

Alhaddad

Aly

Gad

et al. 2022

Front. Bioeng. Biotechnol.

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“…The variation was observed in the dielectric properties (dielectric constant and loss factor) of RL solution with respect to D‐glucose concentration. Another experiment was performed to estimate the glucose‐dependent electrical impedance parameters (capacitance and conductance) of aqueous‐based solution using a customised four‐terminal‐pair (4TP) configuration in a frequency range varying from 1 to 100 kHz [22]. The experiment established that there was a considerable dependence of glucose concentration on impedance parameters of solution under test.…”

Section: Correlation Between Dielectric Properties and Glucose Concentrationmentioning

confidence: 99%

“…_ , c r ′ _C p , c r ′ _C 0 : Sensitivity coefficients obtained by partial differentiation of (11) with respect to , C p and C 0 , respectively, and are given by (21),(22), and (23), respectively. c r ′ _ = r _R p , and c r ′′ _C 0 are the sensitivity coefficients obtained by partial differentiation of (…”

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confidence: 99%

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Analysis of glucose‐dependent dielectric properties of aqueous‐based solution: A proof of concept

Singh

Sen²,

Anand

2021

IET Science Measure & Tech

Self Cite

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In spite of widespread research and exploration, the status of non-invasive blood glucometer for diabetic people is far from satisfactory. This unlocks the prospect for further significant research in the field of non-invasive blood glucose sensing. An approach towards the research on the development of non-invasive blood glucometer relies on the establishment of correlation, if any, exists between the dielectric properties of blood and the blood glucose level. In this context, the in-vitro study is undertaken as a proof of concept using a standard liquid-dielectric-test-fixture. The research is conducted to analyse the variation in dielectric properties of aqueous-based solution with respect to glucose concentration by utilising test fixture. The employed measurement set-up and the procedure used for the estimation of dielectric properties (complex-relative-permittivity and dissipation factor) of the solution under test are presented. The measurement set-up is validated by determining the dielectric properties of the reference liquid. The evaluation of uncertaintyin-measurement in the complex-relative-permittivity and dissipation factor is also provided in detail. However, the variation in dielectric properties is found to be small under tested conditions, and the in-vitro study conducted out in the perspective of proof of concept has provided an insight that the change in glucose concentration results in quantifiable variation in dielectric properties.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Demonstration of Microstrip Sensor for the Feasibility Study of Non-invasive Blood-Glucose Sensing

Singh

Sen

Anand

2020

MAPAN

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Impedance Spectroscopy of Aqueous Solution Samples of Different Glucose Concentrations for the Exploration of Non-Invasive-Continuous-Blood-Glucose-Monitoring

Cited by 6 publications

References 10 publications

Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection

Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection

Analysis of glucose‐dependent dielectric properties of aqueous‐based solution: A proof of concept

Demonstration of Microstrip Sensor for the Feasibility Study of Non-invasive Blood-Glucose Sensing

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