КОНФЕРЕНЦІЇ ВНТУ електронні наукові видання, 
Міжнародна науково-технічна конференція з оптико-електронних інформаційних технологій "ФОТОНІКА − ODS 2025"

Розмір шрифта: 
Development and modeling of a Non-invasive optical system
Aliya Zilgarayeva, Sergii Pavlov, Nurzhigit Smailov

Остання редакція: 2025-04-21

Анотація


A noninvasive method of blood glucose measurement based on near-infrared spectroscopy and numerical modeling in MATLAB has been developed. It was found that the 900-1350 nm range provides optimal conditions for accurate analysis without skin puncture.


Ключові слова


infrared spectroscopy, non-invasive monitoring, glucose

Посилання


[1]    Institute for Health Metrics and Evaluation Population Health Building/Hans Rosling Cente https://www.healthdata.org/news-events/newsroom/news-releases/global-diabetes-cases-soar-529-million-13-billion-2050

[2]    A.Zilgarayeva, N. Smailov, S.Pavlov, Sh. Mirzakulova, M.Alimova, B.Kulambayev, D.Nurpeissova, “Optical sensor to improve the accuracy of non-invasive blood sugar monitoring”, Indonesian Journal of Electrical Engineering and Computer Science, Vol. 34, No. 3, June 2024, pp. 1489~1498.doi: 10.11591/ijeecs.v34.i3.pp1489-1498

[3]    https://bmcudp.kz/ru/patients/prevention/health-schools/shkola-zdorovya-diabet.html

[4]    J. Wu, Y. Liu, H. Yin, and M. Guo, “A new generation of sensors for non-invasive blood glucose monitoring.,” American journal of translational research, vol. 15, no. 6, pp. 3825–3837, 2023.

[5]    Wójcik W., Smolarz A. Information Technology in Medical Diagnostics. London, Taylor & Francis Group CRC Press Reference. 2017. P. 210.

[6]    Pavlov S.V., Kozhemiako V.P., Petruk V.G., Kolesnik P.F., Photoplethysmohrafic technologies of the cardiovascular control, Vinnitsa: Universum-Vinnitsa, 2007, P. 254,

[7]    Wójcik, W., Pavlov, S., Kalimoldayev, M. Information Technology in Medical Diagnostics II. London: Taylor & Francis Group, CRC Press, Balkema book, 2019, P. 336.

[8]    Pavlov S. V., Kozhukhar A. T. Electro-optical system for the automated selection of dental implants according to their colour matching. Przegląd elektrotechniczny. 2017. R. 93. NR 3. Р. 121-124. ISSN 0033-2097.

 

 


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