Proposed Application of Fast Fourier Transform in Near Infra Red Based Non Invasive Blood Glucose Monitoring System

Jenie, Renan Prasta; Iskandar, Johan; Kurniawan, Ade; Rustami, Erus; Syafutra, Heriyanto; Nurdin, Naufal Muharam; Handoyo, T; Prabowo, J; Febryarto, R; Rahayu, Maria Sri Kristiana; Damayanthi, Evy; Rimbawan, Rimbawan; Sukandar, Dadang; Suryana, Yaya; Irzaman, Irzaman; Alatas, Husin

doi:10.1088/1755-1315/58/1/012011

Cited by 6 publications

(3 citation statements)

References 19 publications

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“…The results show a detection accuracy that is not up to the conditions for clinical application. Choosing the right measurement site is also one of the keys to improve the detection accuracy of Near-infrared spectroscopy for NIBGM [48,57]. Commonly test sites include fingertips, earlobes [48], palms [56]and forearms.…”

Section: Near-infrared Spectroscopy-based Sensormentioning

confidence: 99%

“…However, the sensor exhibits a long-term drift, and the drift is reduced after the calibration model is added. R P Jenie et al developed a finger-clip Near-infrared sensor [57] (Figure2.b) that consists of a pair of Near-infrared light-emitting diodes, a photodiode and an Analogue to a Digital Converter (ADC). Modulation spectrophotometry and fast Fourier transform are proposed for spectrum transformation of measurement of blood glucose level.…”

Section: Near-infrared Spectroscopy-based Sensormentioning

confidence: 99%

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Non-invasive blood glucose sensors based on electromagnetic wave

2023

acss

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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.

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Section: Near-infrared Spectroscopy-based Sensormentioning

confidence: 99%

Section: Near-infrared Spectroscopy-based Sensormentioning

confidence: 99%

Non-invasive blood glucose sensors based on electromagnetic wave

2023

acss

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“…As part of efforts to create an automated food nutrition recommendation system, this research plays a role. This effort, which will be linked to our other research [25][26][27], addresses the risk of non-communicable diseases.…”

Section: Introductionmentioning

confidence: 99%

A Proposed Algorithm Based on Artificial Intelligence to Optimize the Ratio of Food Combinations on a Meal Plate

Jenie¹,

Prastowo²,

Hardyanto³

et al. 2023

Advances in Health Sciences Research

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Background. The Pedoman Gizi Seimbang (Balance Nutrition Guideline, PGS) program was already mandated by the Indonesian Health Ministry as a national daily intake recommendation. The government uses the Isi Piringku (My Plate, IP) program to improve the program further. However, the food combination ratio was chosen arbitrarily by the government. Objective. Our proposed approaches to using artificial intelligence to calculate a balanced food ratio are outlined in this article. Designs. This is developmental and experimental research. Data Source. We have used the 2017 edition of Tabel Komposisi Pangan Indonesia (Indonesia Food Composition Table, TKPI) for reference data. Methods. A straightforward proof of concept for our methods has been created. As our training objective, we have chosen to adhere to the national daily intake recommendation. The input data are rearranged into five groups according to my plate program from the TKPI. The daily meal training data were then created by combining the two data. To determine the ideal food-to-drink ratio, we must infer from the training data. Results. Using meals derived using the conventional method, we have compared nutrition values and created a sample set meal ratio using our tools. In total, 21 macronutrients and micronutrients are evaluated. Conclusions. The creation of mobile-based tools for simple food ratio implementation would be part of the plan. In addition, the researchers ought to think about carrying out an experimental trial to contrast the efficacy of this strategy with that of conventional strategies in community settings.

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Nano/micro-scaled materials based optical biosensing of glucose

Kumar¹,

Chauhan

2022

Ceramics International

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Proposed Application of Fast Fourier Transform in Near Infra Red Based Non Invasive Blood Glucose Monitoring System

Cited by 6 publications

References 19 publications

Non-invasive blood glucose sensors based on electromagnetic wave

Non-invasive blood glucose sensors based on electromagnetic wave

A Proposed Algorithm Based on Artificial Intelligence to Optimize the Ratio of Food Combinations on a Meal Plate

Nano/micro-scaled materials based optical biosensing of glucose

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