Comparative study of 940 nm and 1450 nm near infrared sensor for glucose concentration monitoring

Prawiroredjo, Kiki; Julian, Engelin Shintadewi

doi:10.12928/telkomnika.v17i2.10149

Cited by 5 publications

(7 citation statements)

References 10 publications

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“…These sensor DC output voltages from the three rooms were lower almost half of the output voltages from air media. This result was consistent with our previous result [25]. Water absorbed NIR light and caused noises [26].…”

Section: Results and Analysissupporting

confidence: 94%

“…After passing through the filter the effective output voltages from the sensor were reduced to zero. The effective output voltages were a bit higher than the effective voltages with water media for room A and B; it meant that noises with glucose solution were higher than with water media [25]. The sensor average output voltage for the three rooms with glucose solution media was 2.3368 V. There was voltage difference between sensor average output voltage with water and glucose solution media from the three rooms and it could be concluded that the sensor had the potential as a blood glucose level meter.…”

Section: Results and Analysismentioning

confidence: 90%

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Effects of noises on near infrared sensor for blood glucose level measurement

Prawiroredjo

Julian

2020

TELKOMNIKA

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This paper proposed the method of measuring glucose level in solution using near infrared light (NIR) and photodiode sensor. We studied noises that occurred on the output signal of NIR sensor in three different room conditions in order to know the effects on this sensor output voltage stability. The sensor's circuit consisted of a 1450 nm NIR light emitting diode, a photodiode as the receiver, transimpedance amplifier, a notch filter, and a 4 th order low pass filter. The results indicated that sunlight passing through windows was the most influencing factor caused the unstable sensor output voltage. Filters removed the effective voltages and the average sensor output voltages from the three rooms were 4.6825 V for air media, 2.2809 V for water media and 2.3368 V for glucose solution media. The output voltages tended to increase for one-hour measurement about 10 to 40 mV for air media, 40 to 90 mV for water media and 30 to 80 mV for glucose solution media. This sensor could only be used in a short time and suitable in a room without sunlight. Based on the voltage difference of the average sensor output voltage with water and glucose solution media, the sensor had the potential to be a blood glucose level meter.

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Section: Results and Analysissupporting

confidence: 94%

Section: Results and Analysismentioning

confidence: 90%

Effects of noises on near infrared sensor for blood glucose level measurement

Prawiroredjo

Julian

2020

TELKOMNIKA

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“…Figure 10 shows a regression analysis example of a subject which indicates that voltage PPG reading increases with the increase of real BGC. The regression coefficients were calculated from (8) and (9) and were substituted in (7) for the prediction of non-invasive glucose concentration. When the system was fully calibrated, the validation data sets for each subject were used to test the performance of the measurement model.…”

Section: Resultsmentioning

confidence: 99%

“…The concept is to irradiate a particular wavelength range of optical radiation on the avascular region of the body and obtain the transmission Photoplethysmography signal (PPG). Near-infrared (NIR) spectroscopy which uses light in (750-2500 nm) wavelength range is one of the most widely recommended optical technique because of its high penetration in skins, very simple and affordable equipment as compared to other optical methods [7][8][9] different bands in these regions are combination overtone band (2000-2500 nm), first overtone band (1400-2050 nm) and second overtone absorption bands (750-1550 nm) [10]. The absorbance of the glucose bonds (C-H, O-H) is strong in combination and first overtone regions but there are some disadvantages in these regions due to three causes.…”

Section: Introductionmentioning

confidence: 99%

Noninvasive blood glucose monitoring system based on near-infrared method

Al-dhaheri¹,

Mekkakia-Maaza²,

Mouhadjer³

et al. 2020

IJECE

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Diabetes is considered one of the life-threatening diseases in the world which need continuous monitoring to avoid the complication of diabetes. There is a need to develop a non-invasive monitoring system that avoids the risk of infection problems and pain caused by invasive monitoring techniques. This paper presents a method for developing a noninvasive technique to predict the blood glucose concentration (BCG) based on the Near-infrared (NIR) light sensor. A prototype is developed using a finger sensor based on LED of 940 nm wavelength to collect photoplethysmography (PPG) signal which is variable depending on the glucose concentration variance, a module circuit to preprocess PPG signals is realized, which includes an amplifier and analog filter circuits, an Arduino UNO is used to analog-to-digital conversion. A digital Butterworth filterer is used to remove PPG signal trends, then detect the PPG data peaks to determine the relationship between the PPG signal and (BCG) and use it as input parameters to build the calibration model based on linear regression. Experiments show that the Root Mean Squares Error (RMSE) of the prediction is between 8.264mg/dL and 13.166 mg/dL, the average of RMSE is about 10.44mg/dL with a correlation coefficient (R^2) of 0.839, it is observed that the prediction of glucose concentration is in the clinically acceptable region of the standard Clark Error Grid (CEG).

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“…A plethora of highly intrusive portable blood sugar test kits have arrived on the market; these kits take blood samples from capillaries, which are still painful and uncomfortable and may potentially pose a risk for infection (Abidin et al, 2015). Even with disposable strips, they remain expensive (Bruen et al, 2017;Prawiroredjo & Julian, 2019). Thus, the development of a non-invasive blood sugar meter-a convenient and painless device for monitoring blood sugar levels-is imperative.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Usability of the AKUDia Mobile App for Blood Sugar Monitoring: A Feasibility Study

Badriah,

Bahtiar,

Setiawan

2023

j. info kesehat.

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A variety of ultra-invasive portable blood sugar test kits have been available on the market; these kits require drawing blood from capillaries, which can still be painful and uncomfortable and even enhance the risk of infection. To develop a non-invasive blood sugar meter that is painless and comfortable to use, innovation is required. AKUDia, a mobile application for monitoring blood sugar, was developed as a smart wearable device to help older adults with diabetes stay healthy. This study aimed to measure the usability of the AKUDia application using a usage questionnaire. In terms of a feasibility study, this was quantitative. USE Questionnaire contains a list of questions encompassing 30 questions divided into four dimensions: Usefulness, Ease to use, Ease of learning, and Satisfaction. 50 respondents were recruited for this study, meeting the inclusion criteria of DM patients who had completed a week-long training program on using the AKUDia application. Samples were selected by simple random sampling, and descriptive and univariate data analyses were performed. The AKUDia feasibility test results demonstrated a usability value of 83%, which was classified as very feasible; an ease of use value of 74 percent, which was classified as feasible; an ease of learning value of 83%, which was classified as very feasible; and a satisfaction aspect of 71% at the feasible level. The average usability value of the four categories (usability, ease of use, ease of learning, and satisfaction), which was obtained at 78 percent, indicates that the AKUDia application's usability is at a practicable level. The usability of the AKUDia application is feasible. Governments should support the use and implementation of this innovation in addition to healthcare professionals like doctors and nurses. Information technology systems have the potential to serve as an instrument for illness prevention, treatment, and rehabilitation in addition to promoting health. Future studies should be enhanced to investigate, through experimental research, how the AKUDia application supports nursing care and health management for individuals with diabetes mellitus and the general population.

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Comparative study of 940 nm and 1450 nm near infrared sensor for glucose concentration monitoring

Cited by 5 publications

References 10 publications

Effects of noises on near infrared sensor for blood glucose level measurement

Effects of noises on near infrared sensor for blood glucose level measurement

Noninvasive blood glucose monitoring system based on near-infrared method

Evaluating the Usability of the AKUDia Mobile App for Blood Sugar Monitoring: A Feasibility Study

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