❤️📊 Heart Rate and SpO2 Monitoring System using MAX30100, ESP32, and Firebase

🌟 Introduction

This project demonstrates a real-time system for monitoring heart rate (bpm) ❤️ and blood oxygen levels (SpO2) 🩸 using the MAX30100 pulse oximeter sensor, ESP32 microcontroller, and Firebase Realtime Database ☁️. The system reads health metrics, sends the data to Firebase, and allows cloud storage and visualization.

🔧 Project Approach

1. Sensor Integration 🎛️:

   • The MAX30100 sensor is initialized to collect heart rate and SpO2 data.
   • A callback function detects heartbeats and updates readings.

2. Connectivity 📡:

   • The ESP32 is configured to connect to a Wi-Fi network.
   • Firebase is integrated for data storage.

3. Data Transmission 🔄:

   • Sensor readings are checked for validity.
   • Valid data is transmitted to Firebase at regular intervals (every 2 seconds).

4. Visualization 📈:

   • Data stored in Firebase can be visualized using Firebase's integrated dashboard or third-party analytics tools.

🛠️ Components Required

• 🔌 ESP32 Dev Kit
• 🩺 MAX30100 Pulse Oximeter Sensor
• 🪛 Jumper Wires
• ⚙️ Breadboard

📍 Pin Diagram

ESP32 Pin	MAX30100 Pin
3.3V	VCC
GND	GND
SDA (GPIO21)	SDA
SCL (GPIO22)	SCL

🚀 Setup Instructions

1. Hardware Setup 🧩:

   • Connect the MAX30100 sensor to the ESP32 as per the pin diagram.
   • Ensure secure and proper connections.

2. Software Setup 💻:

   • Install the required libraries:
     • FirebaseESP32 🔥
     • MAX30100_PulseOximeter 💓
   • Update the Wi-Fi and Firebase credentials in the code.
   • Upload the code to the ESP32 using the Arduino IDE.

3. Firebase Setup 🔒:

   • Create a Firebase project.
   • Set up a Realtime Database and copy its URL.
   • Obtain the database secret (legacy token) for authentication.

4. Run the System 🏃:

   • Power the ESP32.
   • Monitor the serial output for sensor readings and Firebase updates.

📷 Screenshots

🔮 Future Scope

• Integration with Mobile Applications 📱:
  • Create a mobile app for real-time health monitoring.
• Advanced Analytics 🤖:
  • Utilize machine learning to analyze trends in health data.
• Wearable Device ⌚:
  • Design a compact, battery-operated wearable version of the system.
• Additional Metrics 📋:
  • Include more sensors to track other health parameters like blood pressure.

✨ Key Features

• Real-time Monitoring ⏱️: Logs and displays SpO2 and heart rate data continuously.
• Cloud Storage ☁️: Data is securely stored and accessible via Firebase.
• Scalability 🛠️: The project can be extended to multiple users with minimal changes.

🧩 Challenges and Solutions

• Sensor Initialization ⚡:
  • Issue: MAX30100 sensor failed to initialize properly.
  • Solution: Verified wiring and ensured the library was correctly installed.
• Firebase Integration 🔌:
  • Issue: Data upload failed during testing.
  • Solution: Confirmed correct Firebase credentials and ensured stable Wi-Fi.