Non-Invasive Blood Glucose Measurement Using Near Infra-Red Spectroscopy

Priyoti, Anika Tabassum; Jim, Salman Jubair; Hossain, Sushmit; Mahmud, Shafkat; Salvin, Sujana; Bhattacharjee, Arnab

doi:10.1109/r10-htc47129.2019.9042473

Cited by 7 publications

(3 citation statements)

References 8 publications

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“…From the two results above, it can be seen that the thumb is a finger that has sensitivity and consistency in its ability to conduct light waves and can respond to differences in blood sugar well; this is due to the cross-sectional area of the thumb larger than the other fingers so that all the tissue can absorb the scattered light under the skin. It is in accordance with the research carried out by Priyoti [19] stating that the width of fingers can affect radiation transmission. According to this research result, it is suggested to use the thumb to increase the accuracy of blood sugar reading since it has the greatest sensitivity.…”

Section: Discussionsupporting

confidence: 91%

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Near Infrared LEDs-Based Non-Invasive Blood Sugar Testing for Detecting Blood Sugar Levels on Diabetic Care

Badriah

Bahtiar

Andang

2022

JBBBE

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Diabetes Mellitus, with its rapid development and various complications that have caused it, has become one of the deadliest diseases in the world. Early detection efforts to raise blood sugar levels can help to avoid a variety of complications. Measuring devices are needed to find out blood sugar levels detect how much sugar is in the blood. The blood sugar measuring device is invasive by taking blood from capillaries tested both in the lab and using portable testing instruments. The use of this tool results in discomfort, pain, and trauma for the patient. The purpose of this study was to determine the degree of sensitivity of the NIR LED sensor on the thumb to the little finger to the reading of light reflections coming out of body tissues.. Currently, the index finger is often used as a medium to find out how much blood sugar is in non-invasive blood sugar measurements. The other four fingers' sensitivity is unknown at this time. Because the use of the index finger, which is located in the middle, can make activities difficult at times, information on the sensitivity level of the other fingers is required. This paper discusses the sensitivity of placing the NIR LED sensor on the five fingers to determine the most sensitive finger with the best response. Based on the testing results of 15 samples, Although the index finger receives the most significant stress, the correlation and linear regression tests show that the thumb has the closest relationship with the R2 = 0.6841. With this research, a test instrument with higher sensitivity for Diabetes can be developed by placing the sensor in a comfortable area. The implication is that the results of this study can be recommended to use the thumb as an alternative to the placement of the NIR LED sensor to measure blood sugar levels non-invasively in DM patients.

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Section: Discussionsupporting

confidence: 91%

“…However, the installation of the sensor on the index finger sometimes interferes with activities. Meanwhile, the testing conducted by Priyoti [19] showed that the testing using different fingers resulted in dissimilar test results. Even though the range was not stated, it would affect the accuracy of non-invasive blood sugar testing.…”

Section: Introductionmentioning

confidence: 99%

Near Infrared LEDs-Based Non-Invasive Blood Sugar Testing for Detecting Blood Sugar Levels on Diabetic Care

Badriah

Bahtiar

Andang

2022

JBBBE

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“…Data obtained from the NIR spectrum of the spent dialysate fluid can be used for on-line monitoring of blood glucose concentration. The principle that the absorption pattern of NIR light can be quantitatively related to the glucose concentration has been confirmed in a number of previous studies [18][19][20][21].…”

Section: Discussionmentioning

confidence: 56%

Glucose concentration monitoring using near-infrared spectrum of spent dialysis fluid in hemodialysis patients

et al. 2020

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Introduction/Objective. Diabetic nephropathy leading to end-stage renal disease is a major health problem worldwide. Hemodialysis treatment is associated with glycemia variations. Diabetic patients on hemodialysis might benefit from a noninvasive online glycemia monitoring system. The aim of this study was to assess the glucose concentration from the matrix of the spent dialysate fluid using Near infrared (NIR) Spectroscopy. Methods. Blood samples and spent dialysate have been collected in the 15th minute of the hemodialysis treatment from 15 patients. The spent dialysis fluid has been characterized by a NIR spectrometer in the range of 900-1300 nm. In order to apply the artificial neural network (ANN) and train it, the MATLNFTOOL program was used. The testing and training of the ANN were executed using the NIR spectrum of the spent dialysis fluid as input, and the glucose concentration as output. Results. A significant correlation in excess of 93% between the NIR spectrum of the spent dialysate and the blood glucose concentration (3-9 mmol/l) has been found. Conclusions. NIR spectroscopy is a noninvasive and reliable method of glycemia monitoring which can be used in maintenance hemodialysis patients.

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