IoT Heart Rate Monitor using ESP32

Remote health monitoring is transforming healthcare. An IoT Heart Rate Monitor tracks pulse in real-time and sends data to cloud dashboards, enabling remote patient monitoring. This project combines biomedical sensors with IoT technology for healthcare applications.

Why This Project Is Popular

Healthcare IoT (IoMT) is a rapidly growing field. Remote patient monitoring reduces hospital visits and enables better chronic disease management. This project teaches analog signal processing, sensor interfacing, and IoT data transmission - valuable skills for medical device industry careers.

Project Ideas or Guide

Build a comprehensive heart rate monitoring system:

• Pulse Detection: Use Pulse Sensor (PPG) to detect blood volume changes through fingertip or earlobe.
• Signal Processing: Arduino/ESP32 processes analog signal to calculate Beats Per Minute (BPM).
• Display: Show BPM on OLED display and pulse wave visualization.
• Cloud Upload: Send BPM data to ThingSpeak, Firebase, or Blynk at regular intervals.
• Alert System: Trigger alert when BPM goes above/below thresholds.
• Historical Data: Plot heart rate trends over time on cloud dashboard.

Components Used

• ESP32 / Arduino Nano
• Pulse Sensor (PulseAmped)
• 0.96" OLED Display
• Buzzer
• LED
• Finger Clip

FAQ

Q: How accurate is the pulse sensor?

A: Consumer pulse sensors have ±3 BPM accuracy compared to medical-grade devices.

Q: Can this work continuously?

A: Yes, with proper finger placement it can monitor for extended periods.