The Alat Pendeteksi Kadar Gula Darah Menggunakan Teknik Non-Invasive Berbasis NodeMCU ESP8266


  • Nina Mulana Universitas Mataram, Mataram, Indonesia
  • Budi Darmawan Universitas Mataram, Mataram, Indonesia
  • I Made Budi Suksmadana * Mail Universitas Mataram, Mataram, Indonesia
  • (*) Corresponding Author
Keywords: Blood Glucose Levels; Non-Invasive; Arduino; IoT; NodeMCU ESP8266

Abstract

This project focuses on the development of a non-invasive blood glucose detection device using an IoT based system with NodeMCU ESP8266  as its microprocessor. The rising health issues related to diabetes call for regular blood sampling. This study utilizes diffuse reflectance spectroscopy, where light is scattered when interacting with human issue, enabling non-invasive measurement. By integrating a photodiode and high-brightness LEDs with the NodeMCU ESP8266 microcontroller, the device measure blood glucose levels through finger placement. The result are displayed on an LCD screen and send to a Telegram Bot. this system aims to provide a convenient and painless alternative for routine blood glucose monitoring, especially for individuals with diabetes. After the design and construction of the non-invasive blood glucose detection device, testing was conducted, yielding an error percentage of 2.38% and a measurement accuracy rate of 97.62% based on ten data collection from different individuals.

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References

A. Abbas Daoud, J. Lahia, E. Diab, and Ismaiel, “Non-invasive IR-based measurement of human blood glucose,” Eng. Proc., vol. 35, p. 27, 2023.

M. Al and A. F. Ali, “Smartphone-based non-invasive glucose monitoring: Optical detection technologies, progress, and future directions,” Sensors, vol. 20, 2020.

H. Mansoor and A. Patel, “Non-invasive monitoring of glucose levels in diabetic patients using wearable sensors: Advances and trends,” IEEE Access, vol. 11, 2023.

P. Annamalai, P. Gupta, and A. K. Dubey, “Non-invasive glucose monitoring using machine learning algorithms,” Expert Syst. Appl., vol. 143, 2020.

I. Prayogo, R. Alfita, and K. A. Wibisono, “Monitoring System for Heart Rate and Body Temperature as an IOT (Internet Of Thing)-Based Patient Health Level Indicator Using the Fuzzy Logic Method Using Android,” J. Electr. Comput. Eng. TRIAC, vol. 4, no. 2, 2017.

B. Kaur, K. Mann, and S. Sharma, “A systematic review on non-invasive blood glucose monitoring methods using spectroscopy,” Biomed. Opt. Express, vol. 11, 2020.

C. Anam, E-Book ESP8266. 2020.

A. D. Pangestu, F. Ardianto, and B. Alfaresi, “SISTEM MONITORING BEBAN LISTRIK BERBASIS ARDUINO NODEMCU ESP8266,” J. Ampere, vol. 4, no. 1, p. 187, Jun. 2019, doi: 10.31851/ampere.v4i1.2745.

G. T. Herman, Fundamentals of Computerized Tomography: Image Reconstruction from Projections. 2009.

E. Jovanov, A. Milenkovic, and C. Otto, “Continuous and non-invasive blood glucose monitoring: Current and emerging technologies,” IEEE Rev. Biomed. Eng., vol. 14, 2021.

Mariza Wijayanti, “PROTOTYPE SMART HOME DENGAN NODEMCU ESP8266 BERBASIS IOT,” J. Ilm. Tek., vol. 1, no. 2, pp. 101–107, May 2022, doi: 10.56127/juit.v1i2.169.

W. Palmer and C. G. M. Shih, “Optical techniques for non-invasive glucose monitoring: A review of current technologies,” J. Sensors Actuators B Chem., vol. 364, 2022.

S. Hambali, “Perancangan Alat Pengukur Kadar Gula dalam Darah Menggunakan Teknik Non-Invasive Berbasis Mikrokontroler Arduino Uno,” Politek. Negeri Padang, 2020.

L. Li and Z. W., “Real-time non-invasive blood glucose monitoring through near-infrared spectroscopy,” IEEE Trans. Biomed. Eng., vol. 70, 2023.

A. Pionis, R. Budi, and M. Rahman, “Rancang Bangun Alat Pengukur Kadar Glukosa Darah Non-Invasif Berbasis ESP 8266 Terintegrasi Thingspeak dan Absensi Biometrik,” 2024.

S. D., “Sistem Monitoring Kadar Gula Darah, Kolesterol dan Asam Urat Secara Non-Invasive Menggunakan Sensor GY-MAX 30100,” 2021.

Y. Z. Fathy, A. M. Sadek, and S. Mohamed, “Non-invasive glucose monitoring using optical methods—A review,” Opt. Laser Technol., vol. 126, 2020.

Z. Huang, H. Sun, and Q. Zhang, “Non-invasive blood glucose monitoring using Raman spectroscopy,” Biosens. Bioelectron., vol. 198, 2022.

Y. Kim, H. Lee, and J. Park, “Challenges in developing non-invasive glucose monitoring systems: A review of recent advances,” Biosens. Bioelectron., vol. 208, 2023.

R. S. Khandpur, Biomedical Instrumentation: Technology and Applications. McGraw Hill, 2004.


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Article History
Submitted: 2024-11-10
Published: 2024-11-30
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