Non-Invasive Assessment of Blood Glucose Changes with Near Infrared Sensor

Mamilov, Serhii; Velyhotskyi, Dmytro; Yesman, S. S.; Mysiura, Anatolii; Bekh, Ihor; Gisbrecht, Alexander

doi:10.1109/elnano50318.2020.9088873

Cited by 3 publications

(8 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, Mid-infrared spectroscopy is not as widely used as Near-infrared spectroscopy in the field of NIBGM [52]. Near-infrared spectroscopy can be simply divided into the Near-infrared diffuse reflection [5,53,54]and the Near-infrared transmission [18]. Both diffuse Near-infrared light signals and transmitted Near-infrared light signals contain a lot of information about the glucose absorption spectrum.…”

Section: Near-infrared Spectroscopy-based Sensormentioning

confidence: 99%

“…However, traditional glucose detection is invasive and requires a blood sample, which cannot detect continuously and can cause great psychological stress in diabetic patients because of pain caused by invasive methods [8,16,17]. Moreover, invasive blood glucose testing methods can easily increase the risk of infection [18]. What's more, invasive blood glucose testing methods do not promptly reflect blood glucose fluctuations due to specific lifestyles and dietary habits [19].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Non-invasive blood glucose sensors based on electromagnetic wave

2023

acss

View full text Add to dashboard Cite

Low-cost, reusable, highly compliant and non-invasive blood glucose sensors (NIBGS) are necessary for current and future medical systems. This review aims to introduce various NIBGS with wide application prospect and focus on electromagnetic wave-based NIBGS. The main introduction is based on Near-infrared spectroscopy-based, Raman spectroscopy-based and microwave-based sensors. The basic working principle of each type of sensor is explained, and their structure, detection accuracy, detection range and detection site are also summarized. The improvements and impacts made by various types of non-invasive testing applications are also analyzed. Several commonly used performance evaluation methods of non-invasive blood glucose monitoring (NIBGM) are introduced. With the development of electronic device and intelligent algorithms, NIBGM will continue to expand its advantages, and the creation of new practical applications will greatly improve the healthcare environment and bring great convenience to the lifestyle of patients with diabetes.

show abstract

Section: Near-infrared Spectroscopy-based Sensormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Non-invasive blood glucose sensors based on electromagnetic wave

2023

acss

View full text Add to dashboard Cite

show abstract

“…14,16 Meanwhile, new detection equipment such as quantum cascade laser and high signal-to-noise ratio (SNR) detectors also offer strong hardware support. 17,18…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, there are several reports on monitoring glucose by single wavelengths. 18,28 Uwadaira et al identified the optimal wavelengths among all used wavelengths according to their performance in human tests. 28 But the optimal wavelengths vary for different subjects in their tests.…”

Section: Introductionmentioning

confidence: 99%

“…14,16 Meanwhile, new detection equipment such as quantum cascade laser and high signal-to-noise ratio (SNR) detectors also offer strong hardware support. 17,18 With the development of new technologies, good in vivo test results under strict experimental conditions have been obtained using mid-infrared absorption spectroscopy, 19 photoacoustic spectroscopy, [9][10][11][12] near-infrared (NIR) spectroscopy, 20 Raman spectroscopy, 8 etc., which have verified the feasibility of in vivo situation with these methods. For glucose measurement, each method has advantages and encounters challenges, for example, (i) Raman spectroscopy has good spectral specificity but needs high-power excitation light to irradiate skin; (ii) the glucose absorption at the mid-infrared band is strong, but the light can only propagate in a shallow depth due to the strong absorption of water in skin; (iii) photoacoustic spectroscopy, needs high-power excitation light to generate the acoustic signal; and (iv) the detection depth of NIR light (about several millimeters for 1000-1600 nm) is deeper than mid-infrared light and the influence of scattering caused by glucose becomes stronger.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

In Vivo Near-Infrared Noninvasive Glucose Measurement and Detection in Humans

Han

Liu

et al. 2022

Appl Spectrosc

View full text Add to dashboard Cite

In optical noninvasive glucose detection, how to detect the glucose-caused signals from the constant human variations and disturbed probing conditions is always the biggest challenge. Developing effective measurement strategies is essential to realize the detection. A NIR spectroscopy-based strategy is studied to effectively solve the in vivo measurement issues, obtaining clean blood glucose-caused signals. Two solutions composing our strategy are applied to the NIR spectroscopy-based measurement system to acquire clean raw signals in the data collection. Which are: a customized high signal-to-noise ratio multi-ring InGaAs detector is introduced to reduce the influences of human variations; a fixing and aiming method are introduced to reproduce a consistent measurement condition. 17 cases of glucose tolerance test (GTT) on healthy and diabetic volunteers are conducted to validate the strategy. Human experiment results clearly show that the expected blood glucose changes have been detected at 1550 nm. The average correlation coefficient of the 17 cases of GTT between light signal and glucose reference reaches 0.84. The proposed measurement strategy is verified feasible for the glucose detecting in vivo. The strategy provides references to further studies and product developments for the NIR spectroscopy-based glucose measurement, and references to other optical measurements in vivo.

show abstract

Blood Phantom Analysis for Bioimpedance-Based Noninvasive Blood Glucose Monitoring

Muramatsu¹

2022

Prime Archives in Electronics

View full text Add to dashboard Cite

Daily monitoring of blood glucose levels is vital for managing diabetes; however, invasive blood sampling is a burden on patients. To improve patients' quality of life, bioimpedancebased noninvasive blood glucose monitoring (BI-NIBGM) that involves wearable electrodes on the wrist has been proposed. In www.videleaf.com this study, we investigated the validity of applying a simple NaCl solution to a blood phantom for in vitro evaluation of BI-NIBGM. The electrical properties of cow blood and various blood phantoms with different NaCl concentrations were measured based on the parallel-plate method at frequencies from 200 kHz to 100 MHz. The following observations were made:(1) the conductivity of blood can be mimicked accurately with simple NaCl solutions, and the optimal concentration of the phantom depends on the operating frequency and (2) it is challenging to mimic the relative permittivity of blood with simple NaCl solutions because NaCl lacks a cellular structure. Furthermore, the relationship between the bioimpedance and electrical properties of the phantom was examined using a simplified arm model. The results indicate that the relative permittivity of the blood layer has little effect on the bioimpedance and that only the conductivity determines the bioimpedance. Therefore, the NaCl concentration of the phantom can be adjusted from the viewpoint of conductivity for BI-NIBGM.

show abstract

Non-Invasive Assessment of Blood Glucose Changes with Near Infrared Sensor

Cited by 3 publications

References 15 publications

Non-invasive blood glucose sensors based on electromagnetic wave

Non-invasive blood glucose sensors based on electromagnetic wave

In Vivo Near-Infrared Noninvasive Glucose Measurement and Detection in Humans

Blood Phantom Analysis for Bioimpedance-Based Noninvasive Blood Glucose Monitoring

Contact Info

Product

Resources

About