ESP32 Patient Health Monitoring System

This project is an ESP32-based patient health monitoring system that measures room temperature, room humidity, body temperature, heart rate (BPM), and blood oxygen levels (SpO2). The system sends the data to a web server hosted on the ESP32, making the information accessible through any web browser connected to the same network.

Features

• Measure and display room temperature and humidity using the DHT11 sensor.
• Measure and display body temperature using the DS18B20 sensor.
• Measure and display heart rate (BPM) and blood oxygen levels (SpO2) using the MAX30100 Pulse Oximeter.
• Host a web server on the ESP32 to display the collected data in a user-friendly web interface.

Hardware Required

• ESP32 Development Board
• DHT11 Temperature and Humidity Sensor
• DS18B20 Temperature Sensor
• MAX30100 Pulse Oximeter
• Breadboard and Jumper Wires
• 4.7kΩ Resistor (for DS18B20)

Component	Description	Amazon Link	AliExpress Link
ESP32 Development Board	A microcontroller with Wi-Fi and Bluetooth capabilities	Amazon	AliExpress
DHT11 Temperature and Humidity Sensor	Sensor for measuring temperature and humidity	Amazon	AliExpress
DS18B20 Temperature Sensor	Digital temperature sensor	Amazon	AliExpress
MAX30100 Pulse Oximeter	Sensor for measuring heart rate and SpO2	Amazon	AliExpress
Breadboard and Jumper Wires	For prototyping and connecting components	Amazon	AliExpress
4.7kΩ Resistor	Resistor needed for DS18B20 sensor	Amazon	AliExpress

This table provides an organized way to display the required hardware components along with links to where they can be purchased.

Software Required

• Arduino IDE
• ESP32 Board Manager (installed via Arduino IDE)
• Required Libraries:
  • WiFi.h
  • WebServer.h
  • Wire.h
  • MAX30100_PulseOximeter.h
  • OneWire.h
  • DallasTemperature.h
  • Bonezegei_DHT11.h

Circuit Diagram

Connect the sensors to the ESP32 as follows:

Component	ESP32 Pin
DHT11	18
DS18B20	5
MAX30100 Pulse Oximeter	I2C (SDA, SCL)
4.7kΩ Resistor	Between DS18B20 Data and 3.3V

Installation and Setup

1. Clone the Repository:

   git clone https://github.com/yourusername/ESP32-Patient-Health-Monitoring.git
   cd ESP32-Patient-Health-Monitoring

2. Open the Arduino IDE:

   • Install the ESP32 Board Manager.
   • Install the required libraries mentioned above.

3. Update Wi-Fi Credentials:

   • Open the ESP32-Patient-Health-Monitoring.ino file.
   • Update the ssid and password variables with your Wi-Fi network credentials.

4. Upload the Code to ESP32:

   • Connect your ESP32 board to your computer.
   • Select the correct board and port from the Arduino IDE.
   • Click on the upload button.

5. Open the Serial Monitor:

   • Set the baud rate to 115200.
   • Observe the connection status and IP address assigned to your ESP32.

6. Access the Web Server:

   • Open a web browser and enter the IP address displayed on the Serial Monitor.
   • View the real-time patient health monitoring data.

Code Explanation

The code consists of the following main parts:

• Library Inclusions and Definitions:

  • Include necessary libraries for Wi-Fi, web server, and sensors.
  • Define sensor pins and variables to store sensor data.

• Setup Function:

  • Initialize serial communication and sensor objects.
  • Connect to Wi-Fi and start the web server.
  • Initialize the pulse oximeter sensor.

• Loop Function:

  • Handle client requests and update sensor readings.
  • Read data from sensors and periodically report it to the Serial Monitor.
  • Serve the HTML page with sensor data when a client connects.

• HTML Page Generation:

  • Generate an HTML page with embedded sensor data to be displayed in a web browser.

Results

Contributions

Feel free to fork this repository and contribute by submitting a pull request. Any improvements, bug fixes, or enhancements are welcome.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• This project is inspired by various open-source health monitoring systems and tutorials available online.
• Special thanks to the authors of the libraries used in this project.

For any questions or suggestions, please open an issue or contact Aritra.