Everything You Wanted to Know About Noninvasive Glucose Measurement and Control

Jain, Prateek; Joshi, Amit M.; Mohanty, Saraju

doi:10.48550/arxiv.2101.08996

Cited by 4 publications

(7 citation statements)

References 168 publications

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“…There were several non-invasive efforts to have glucose measurement from skin surface, saliva, sweat, tears and retina [4]. Some of the selected work are defined in Table I [2]. However, there is still research is going on for precision, reliability and higher sensitivity.…”

Section: Overview Of Glucose-level Measurementmentioning

confidence: 99%

“…A longer version of this work is available at [2]. TABLE III: A comparative perspective of a selected state of art approaches for glucose measurement [2].…”

Section: Acknowledgmentmentioning

confidence: 99%

“…DM may lead to long term complication in case of glycemic profile remains unnoticed over the period of time. There are mainly three types of diabetes as: Type 1 Diabetes, Type 2 Diabetes and Gestational Diabetes [2]. Type 1 diabetes is a condition where body does not able to produce insulin to have the proper insulin-glucose balance.…”

Section: Introductionmentioning

confidence: 99%

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Everything You Wanted to Know About Continuous Glucose Monitoring

Joshi

Jain

Mohanty

2021

IEEE Consumer Electron. Mag.

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Diabetes occurs due to lack of insulin generation inside the human body. The continuous glucose monitoring using noninvasive measurement in smart healthcare can be effective for the diabetes people. The conventional method for glucose measurement requires pricking the blood samples which may not be advisable for frequent measurement specially for old age people and children. The paper provides brief review about various approaches of continuous glucose measurement with non-invasive manner. This article covers the state of the art glucose measurement methods and its control mechanism. The study of various consumer products have also been discussed along with the open challenges.

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Section: Overview Of Glucose-level Measurementmentioning

confidence: 99%

“…A longer version of this work is available at [2]. TABLE III: A comparative perspective of a selected state of art approaches for glucose measurement [2].…”

Section: Acknowledgmentmentioning

confidence: 99%

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Everything You Wanted to Know About Continuous Glucose Monitoring

Joshi

Jain

Mohanty

2021

IEEE Consumer Electron. Mag.

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“…A number of studies have analyzed whether glucose levels induce changes in physiological features. 11,12 The most common approaches include electrical and optical measurements such as electrocardiogram (ECG), photoplethysmography (PPG), near-infrared (NIR) spectroscopy, electrical bioimpedance, and skin temperature. 12 Among these, ECG is a promising solution for detecting glucose levels.…”

Section: Introductionmentioning

confidence: 99%

Detection of Hypoglycemia and Hyperglycemia Using Noninvasive Wearable Sensors: Electrocardiograms and Accelerometry

Dave

Vyas

Branan

et al. 2022

J Diabetes Sci Technol

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Background: Monitoring glucose excursions is important in diabetes management. This can be achieved using continuous glucose monitors (CGMs). However, CGMs are expensive and invasive. Thus, alternative low-cost noninvasive wearable sensors capable of predicting glycemic excursions could be a game changer to manage diabetes. Methods: In this article, we explore two noninvasive sensor modalities, electrocardiograms (ECGs) and accelerometers, collected on five healthy participants over two weeks, to predict both hypoglycemic and hyperglycemic excursions. We extract 29 features encompassing heart rate variability features from the ECG, and time- and frequency-domain features from the accelerometer. We evaluated two machine-learning approaches to predict glycemic excursions: a classification model and a regression model. Results: The best model for both hypoglycemia and hyperglycemia detection was the regression model based on ECG and accelerometer data, yielding 76% sensitivity and specificity for hypoglycemia and 79% sensitivity and specificity for hyperglycemia. This had an improvement of 5% in sensitivity and specificity for both hypoglycemia and hyperglycemia when compared with using ECG data alone. Conclusions: Electrocardiogram is a promising alternative not only to detect hypoglycemia but also to predict hyperglycemia. Supplementing ECG data with contextual information from accelerometer data can improve glucose prediction.

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“…Dielectrically modulated OTFT-based biosensors have been proven to be very effective in detecting a variety of biomolecules in many recent studies. The literature of various biosensors based on organic transistors have been observed for detecting urea, protein, glucose, biotin, DNA, streptavidin and other biomolecules [26], [27], [38]. In comparison to inorganic-based dielectric modulated TFT, there has been [39], [40].…”

Section: Introductionmentioning

confidence: 99%

Label-Free Detection of Biomolecules Using Dielectric-Modulated Top Contact Bi-layer Electrodes Organic Thin Film Transistor

Joshi¹

2022

Preprint

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<p>The dielectric-modulated top contact bi-layer electrodes organic thin-film transistor (DMTCBE-OTFT) based sensor is proposed to reduce the cost and complexity of nanoscale device fabrication for label-free biomolecule detection. In the proposed structure, a cavity is carved in gate dielectric and filled with biomolecules to realise the function of the sensor. The immobilisation of biomolecules in the cavity region alters the performance parameters like on-current (ION), on-off current ratio (ION/IOFF ), and subthreshold swing (SS) of the proposed device. We have also investigated the effects of gate work-function and cavity thickness on the sensitivity of a DMTCBE-OTFT based biosensor. A bi-layer electrodes is also used for a significant reduction in barrier height to enhance the performance of the proposed device. The change in the on-current (ION) and on-off current ratio (ION/IOFF ) has been utilised to evaluate the sensitivity of the DMTCBE-OTFT for biomolecule recognition. It has different dielectric constants and corresponding charge densities using 2-D simulation when biomolecules are immobilised in the cavity area. The ATLAS TCAD tool is used to investigate the sensitivity performance of the DMTCBE-OTFT. The proposed DMTCBEOTFT has almost four times higher drain current sensitivity in comparison to the recently reported OTFT-based biosensors for label-free detection of biomolecules. The DMTCBE-OTFT biosensor has enormous potential for future flexible biosensing applications due to its good sensitivity, flexibility, low cost, and biocompatibility.</p>

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Everything You Wanted to Know About Noninvasive Glucose Measurement and Control

Cited by 4 publications

References 168 publications

Everything You Wanted to Know About Continuous Glucose Monitoring

Everything You Wanted to Know About Continuous Glucose Monitoring

Detection of Hypoglycemia and Hyperglycemia Using Noninvasive Wearable Sensors: Electrocardiograms and Accelerometry

Label-Free Detection of Biomolecules Using Dielectric-Modulated Top Contact Bi-layer Electrodes Organic Thin Film Transistor

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