Dielectric properties of glycosuria at 0.2-50 GHz using microwave spectroscopy

Mun, Peck Shen; Ting, Hua Nong; Chong, Yip Boon; Ong, Teng Aik

doi:10.1080/09205071.2015.1072480

Cited by 8 publications

(2 citation statements)

References 37 publications

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“…Similar results were also shown when urine of diabetic and CKD patients was compared to normal subjects, but differences were more significant between normal and CKD patients [29]. Other studies have investigated the effect glycosuria on the dielectric properties of urine and observed an increase in dielectric constant with increasing glucose in urea [30,31,32,33]. All these studies demonstrate biomaterial dependency of urine dielectric properties.…”

Section: Discussionsupporting

confidence: 69%

Electrical detection of blood cells in urine

Nasir

Raji

Mustafa

et al. 2020

Heliyon

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Available methods for detecting blood in the urine (hematuria) can be problematic since results can be influenced by many factors in patients and in the lab settings, resulting in false positive or false negative results. This necessitates the development of new, accurate and easy-access methods that save time and effort. This study demonstrates a label-free and accurate method for detecting the presence of red and white blood cells (RBCs and WBCs) in urine by measuring the changes in the dielectric properties of urine upon increasing concentrations of both cell types. The current method could detect changes in the electrical properties of fresh urine over a short time interval, making this method suitable for detecting changes that cannot be recognized by conventional methods. Correcting for these changes enabled the detection of a minimum cell concentration of 10 2 RBCs per ml which is not possible by conventional methods used in the labs except for the semi-quantitative method that can detect 50 RBCs per ml, but it is a lengthy and involved procedure, not suitable for high volume labs. This ability to detect very small amount of both types of cells makes the proposed technique an attractive tool for detecting hematuria, the presence of which is indicative of problems in the excretory system.

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Section: Discussionsupporting

confidence: 69%

Electrical detection of blood cells in urine

Nasir

Raji

Mustafa

et al. 2020

Heliyon

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“…Many research groups are working on developing noninvasive CGM methods using different body fluids. Those fluids include blood [3], saliva [4], sweat [5,6], urine [7], tears [8,9], breath [10], and interstitial fluid [11]. Clearly, there is a need for a noninvasive CGM device, which is simple, painfree, and relatively inexpensive.…”

Section: Introductionmentioning

confidence: 99%

Noninvasive Continuous Glucose Monitoring on Aqueous Solutions Using Microwave Sensor With Machine Learning

Bamatraf¹,

Aldhaeebi²,

Ramahi³

2022

PIER Letters

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In this paper, an electrically-small microwave dipole sensor is used with machine learning algorithms to build a noninvasive continuous glucose monitoring (CGM) system. As a proof of concept, the sensor is used on aqueous (water-glucose) solutions with different glucose concentrations to check the sensitivity of the sensor. Knowledge-driven and data-driven approaches are used to extract features from the sensor's signals reflected from the aqueous glucose solution. Machine learning is used to build the regression model in order to predict the actual glucose levels. Using more than 19 regression models, the results show a good accuracy with Root Mean Square Error of 1.6 and 1.7 by Matern 5/2 Gaussian Process Regression (GPR) algorithm using the reflection coefficient's magnitude and phase.

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Dielectric properties of urine in relation to bladder cancer

Zhu,

Ting,

et al. 2023

Phys Eng Sci Med

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Dielectric properties of glycosuria at 0.2-50 GHz using microwave spectroscopy

Cited by 8 publications

References 37 publications

Electrical detection of blood cells in urine

Electrical detection of blood cells in urine

Noninvasive Continuous Glucose Monitoring on Aqueous Solutions Using Microwave Sensor With Machine Learning

Dielectric properties of urine in relation to bladder cancer

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