Investigation on Dielectric Properties of Glucose Aqueous Solutions at 500 KHz-5MHz for Noninvasive Blood Glucose Monitoring

Zeng, Ning; Li, Jingzhen; Igbe, Tobore; Liu, Yu‐Hang; Yan, Cui

doi:10.1109/healthcom.2018.8531182

Cited by 7 publications

(4 citation statements)

References 16 publications

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“…Furthermore, the early stopping method avoided over-training of the model. In comparison with [12,13,[15][16][17]21,[25][26][27], which served as the standard for predicting blood glucose, the proposed blood glucose estimation system had an MSE, RMSE, MAE, MARD, and R 2 of 40.736, 6.3824, 5.0896, 4.4321, and 0.997, respectively, all of which fell within region A of the Clarke EGA.…”

Section: Analyses and Discussion Of Network Experiments Resultsmentioning

confidence: 99%

“…Zeng et al measured the deionized aqueous solutions and saline solutions of glucose aqueous solutions in the frequency range of 500 kHz to 5 MHz at 25 • C using an impedance analyzer, and established an e-Cole model for each type of glucose. The resulting measurement coefficient of determination was 0.99, demonstrating the practical potential of low-frequency noninvasive blood glucose measurements [13]. Li et al obtained the conductivity and dielectric constant of aqueous solutions with different glucose concentrations through an impedance analyzer in the frequency range of 1 kHz to 1 MHz.…”

Section: Introductionmentioning

confidence: 93%

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Non-Invasive Blood Glucose Estimation System Based on a Neural Network with Dual-Wavelength Photoplethysmography and Bioelectrical Impedance Measuring

Yen

Chen

Wang

et al. 2022

Sensors

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This study proposed a noninvasive blood glucose estimation system based on dual-wavelength photoplethysmography (PPG) and bioelectrical impedance measuring technology that can avoid the discomfort created by conventional invasive blood glucose measurement methods while accurately estimating blood glucose. The measured PPG signals are converted into mean, variance, skewness, kurtosis, standard deviation, and information entropy. The data obtained by bioelectrical impedance measuring consist of the real part, imaginary part, phase, and amplitude size of 11 types of frequencies, which are converted into features through principal component analyses. After combining the input of seven physiological features, the blood glucose value is finally obtained as the input of the back-propagation neural network (BPNN). To confirm the robustness of the system operation, this study collected data from 40 volunteers and established a database. From the experimental results, the system has a mean squared error of 40.736, a root mean squared error of 6.3824, a mean absolute error of 5.0896, a mean absolute relative difference of 4.4321%, and a coefficient of determination (R Squared, R2) of 0.997, all of which fall within the clinically accurate region A in the Clarke error grid analyses.

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Section: Analyses and Discussion Of Network Experiments Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 93%

Non-Invasive Blood Glucose Estimation System Based on a Neural Network with Dual-Wavelength Photoplethysmography and Bioelectrical Impedance Measuring

Yen

Chen

Wang

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…The complex permittivity of an aqueous glucose solution was investigated for the 1-8 GHz range (Turgul and Kale, 2016). The real and imaginary part of the complex dielectric constant decreased with the increase in glucose in an aqueous solution (Zeng et al, 2018;Park et al, 2003;Jang et al, 2018). The relative permittivity and conductivity of blood samples collected from diabetic patients were studied by a network analyzer over the frequency range 1-10 GHz (Venkataraman and Freer, 2011).…”

Section: Introductionmentioning

confidence: 99%

Non-invasive blood sugar detection by cost-effective capacitance spectroscopy

Rassel

Kaysir

Aloraynan

et al. 2023

J. Sens. Sens. Syst.

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Abstract. Capacitance spectroscopy is a promising technique for detecting small changes in electrical properties of human blood such as conductivity, permittivity, capacitance, and dielectric constant due to the change of glucose concentration. We studied the capacitance of tissue-mimicking phantoms and the human body, in vitro and in vivo, for detecting blood sugar levels non-invasively by a simple and cost-effective setup. We found that, in tissue-mimicking phantoms, capacitance decreased ∼19 % for glucose concentration increases of 85 % with a correlation coefficient of R2=0.96. In the oral meal tolerance test (OMTT), the body capacitance increased less than 9 % for a 50 % increase in blood sugar level, and it followed the invasive reference with a lag time of ∼25–45 min and semi-invasive reference with a nominal time delay. This lag time is associated with the food digestion time and the diffusion time for the glucose to reach interstitial fluid from blood vessels. We also studied different types of metal pads made of copper, gold-coated copper, and aluminum with various sizes for system optimization. Considering the simplicity, low cost, easy operation, and moderate performance, this capacitive spectroscopy could potentially be a promising technique of detecting blood sugar levels and could be incorporated into other blood sugar detection techniques to reinforce the overall performance.

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“…To achieve the non-contact measurement of the blood glucose concentration, a direct method would be measuring the dielectric constant of the blood [2]. As blood glucose concentration in human blood will affect EM properties more significantly than other chemicals, similar to vitamins and metabolites [3], the dielectric constant will be a direct reflection of the body's blood glucose concentration.…”

Section: Introductionmentioning

confidence: 99%

A Contactless Glucose Solution Concentration Measurement System Based on Improved High Accurate FMCW Radar Algorithm

Liu

2022

Sensors

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To reduce the pain and the probability of cross-infection caused by the invasive blood glucose testing instruments, the ex vivo glucose measurement is of high significance. The electrical property of blood varies with the density of the glucose, which can be sensed by measuring its reflected coefficient in millimeter-wave. In this article, we built a contactless glucose solution concentration measurement system based on 77-GHz FMCW radar. Several preliminary signal processing algorithms are cascaded with a deep neural network to improve the accuracy of glucose solution concentration measurement. Our experiment shows that the resolution of this ex vivo glucose measurement can achieve up to 0.1 mg/mL.

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Investigation on Dielectric Properties of Glucose Aqueous Solutions at 500 KHz-5MHz for Noninvasive Blood Glucose Monitoring

Cited by 7 publications

References 16 publications

Non-Invasive Blood Glucose Estimation System Based on a Neural Network with Dual-Wavelength Photoplethysmography and Bioelectrical Impedance Measuring

Non-Invasive Blood Glucose Estimation System Based on a Neural Network with Dual-Wavelength Photoplethysmography and Bioelectrical Impedance Measuring

Non-invasive blood sugar detection by cost-effective capacitance spectroscopy

A Contactless Glucose Solution Concentration Measurement System Based on Improved High Accurate FMCW Radar Algorithm

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