Heart Rate Monitoring System Using ESP32

Wearable healthcare devices are an exploding market. A heart rate monitoring system measures a person's pulse and heart rate in Beats Per Minute (BPM) and transmits this vital data to the cloud for remote observation by doctors or family members.

Why This Project Is Popular

IoT in healthcare (IoMT) is a highly relevant research area. This project combines biological sensing with cloud connectivity, making it an outstanding major project for electronics, biomedical, and computer science engineering students.

Project Ideas or Guide

The project uses a Pulse Sensor or a MAX30100/MAX30102 Oximeter sensor placed on a finger. The ESP32 microcontroller processes the analog signals, calculates the BPM, displays it locally on an OLED screen, and publishes the data to an IoT platform (like Ubidots, Blynk, or Firebase) via Wi-Fi.

Recommended TecnoMate Kits

• IoT Healthcare Monitoring Kit

  What it does: A complete setup to measure heart rate, SpO2 (oxygen levels), and body temperature, logging it online.

  Why it is useful for students: Provides a comprehensive platform for building advanced telemedicine prototypes.

• ESP32 Wi-Fi & Bluetooth Board

  What it does: The powerful, dual-core microcontroller that handles data processing and cloud communication.

  Why it is useful for students: The industry standard for complex IoT projects requiring processing power and connectivity.

• MAX30100 Pulse Oximeter Sensor

  What it does: Accurately measures both heart rate and blood oxygen levels (SpO2) using optical sensors.

  Why it is useful for students: A step up from basic pulse sensors, offering clinical-grade measurement techniques.

Components Used

• ESP32 Development Board
• Pulse Sensor or MAX30100/MAX30102
• 0.96 inch OLED Display
• Connecting Wires and Breadboard
• Power Source

FAQ

Q: Can the system trigger an alert if the heart rate is too high?
A: Yes, you can program the ESP32 to send an email, SMS, or app notification if the calculated BPM falls outside a safe threshold (e.g., above 100 or below 60).

Q: Why do the readings fluctuate so much initially?
A: Optical pulse sensors require steady pressure and a few seconds to calibrate. It is best to average the readings over 10-15 seconds for a stable BPM value.

Conclusion

An IoT-based heart rate monitor is a profound project that highlights the intersection of technology and healthcare, proving that engineering solutions can directly contribute to improving human health and safety.