NON-INVASIVE GLUCOSE MONITORING DEVICE USING MAX30102 SENSOR

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Year : 2026 | Volume : 16 | 01 | Page :
    By

    Dr. K. Rajasekhar,

  • M. Yamini Devi,

  • B.V.S.N.S. Karthik,

  • Ch. E.A.S. Sai,

  • N. Hemanth,

  1. Professor, Department of Electronics & Communication Engineering, BVC Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
  2. Student, Department of Electronics & Communication Engineering, BVC Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
  3. Student, Department of Electronics & Communication Engineering, BVC Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
  4. Student, Department of Electronics & Communication Engineering, BVC Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
  5. Student, Department of Electronics & Communication Engineering, BVC Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India

Abstract

Diabetes mellitus is a chronic metabolic disorder affecting millions globally, requiring continuous blood glucose monitoring to prevent complications such as cardiovascular disease, kidney failure, neuropathy, and retinopathy. Conventional invasive finger- prick techniques result in pain, skin irritation, and an increased risk of infection, which lowers patient compliance, particularly in young patients and the elderly. This paper presents a non-invasive glucose monitoring prototype using the MAX30102 optical biosensor interfaced with the Arduino Uno R3 microcontroller. The design and execution of a non-invasive glucose monitoring prototype utilizing an Arduino Uno R3 microcontroller interfaced with the MAX30102 optical biosensor are presented in this work. The device uses dual-wavelength LEDs—red (660 nm) and infrared (880 nm)—to collect photoplethysmography (PPG) signals from the fingertip. A 12-sample moving average filter is applied to the recorded data in order to lower noise and enhance signal stability. After then, a linear calibration model (G = 275.862 × R − 232.103) is used to precisely measure blood glucose levels. A 16×2 I2C LCD module shows the results in real time. The system captures photoplethysmography (PPG) signals from the fingertip using red (660 nm) and infrared (880 nm) LEDs, processes them with a 12-sample moving average filter and a linear calibration model (G = 275.862×R − 232.103), and displays the estimated glucose concentration in real time on a 16×2 I2C LCD. Experimental validation on four subjects achieved a mean accuracy of approximately 85.93% compared to a reference invasive glucometer, with individual accuracy ranging from 79.27% to 89.45%. The proposed system demonstrates the feasibility of embedded non-invasive glucose monitoring as a painless, low-cost, portable solution suitable for home-healthcare applications.

Keywords: Non-invasive glucose monitoring; MAX30102; photoplethysmography (PPG); Arduino Uno R3; embedded biomedical systems; diabetes management; optical sensing; I2C communication.

How to cite this article:
Dr. K. Rajasekhar, M. Yamini Devi, B.V.S.N.S. Karthik, Ch. E.A.S. Sai, N. Hemanth. NON-INVASIVE GLUCOSE MONITORING DEVICE USING MAX30102 SENSOR. Journal of Instrumentation Technology & Innovations. 2026; 16(01):-.
How to cite this URL:
Dr. K. Rajasekhar, M. Yamini Devi, B.V.S.N.S. Karthik, Ch. E.A.S. Sai, N. Hemanth. NON-INVASIVE GLUCOSE MONITORING DEVICE USING MAX30102 SENSOR. Journal of Instrumentation Technology & Innovations. 2026; 16(01):-. Available from: https://journals.stmjournals.com/joiti/article=2026/view=240248


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Ahead of Print Subscription Review Article
Volume 16
01
Received 30/03/2026
Accepted 03/04/2026
Published 17/04/2026
Publication Time 18 Days
29

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