Diabetes management requires frequent monitoring of blood glucose levels, which traditionally involves invasive finger-prick methods that can cause discomfort and reduce patient compliance. This project presents the design and development of a non-invasive glucometer with IoT monitoring, aimed at providing a painless, portable, and real-time health monitoring solution. The system utilizes optical sensing technology through the MAX30102 sensor to estimate physiological parameters such as blood glucose trends, SpO₂ levels, and heart rate without penetrating the skin. A DS18B20 temperature sensor is incorporated to measure body temperature, enhancing the reliability of health assessment. The collected data is processed using an Arduino Nano microcontroller, which serves as the central control unit. For user interaction and real-time feedback, an OLED display is used to show measured parameters instantly. The device is powered by a rechargeable Li-ion battery. Additionally, a charging module (like TP4056) is incorporated to safely recharge the battery, providing protection against overcharging, over-discharging, and short circuits. The integrated ESP8266 Wi-Fi module enables wireless data transmission to the ThingSpeak cloud platform for remote monitoring and analysis. This system offers a compact, cost-effective, and user-friendly solution for continuous health tracking, especially beneficial for diabetic patients. By eliminating the need for invasive testing and enabling IoT-based remote monitoring, the proposed device enhances comfort, accessibility, and proactive healthcare management.    

Objectives:  

• To develop a non-invasive glucometer for painless blood glucose monitoring.

• To measure physiological parameters such as blood glucose trends, SpO₂ levels, and heart rate using the MAX30102 sensor.

• To monitor body temperature using the DS18B20 temperature sensor.

• To process and manage sensor data using an Arduino Nano microcontroller.

• To display real-time health parameters on an OLED screen.

• To enable wireless data transmission through the ESP8266 Wi-Fi module.

• To upload and monitor patient data remotely using the ThingSpeak IoT cloud platform.

• To provide a portable, rechargeable, and user-friendly healthcare monitoring device.

• To improve patient comfort and support continuous health monitoring without invasive finger-prick testing.

   

The major building blocks of this project are:

• Battery Power supply.
• Arduino NANO.
• Max302(Non invasive Glucose, SPO2, Heartrate) sensor.
• DS18B20 temperature sensor.
• OLED display.
• ESP8266 WI-FI module.

     

Software’s used:

• ARDUINO IDE.
• Embedded C language.

     

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