ECG Monitoring with AD8232 and Arduino Project

ECG Monitoring with AD8232 and Arduino

ECG Monitoring with AD8232 and Arduino: Build a practical ECG system for EEE final-year projects with step-by-step guidance and applications.

Description

ECG Monitoring with AD8232 and Arduino: A Complete Guide

Introduction

ECG Monitoring with AD8232 and Arduino is an innovative project perfect for final-year Electrical and Electronic Engineering (EEE) students. This guide walks you through creating a portable ECG monitoring system using the AD8232 ECG sensor module and Arduino Uno. This project combines biomedical engineering and embedded systems, making it an excellent demonstration of real-world applications.

  1. Overview of ECG Monitoring Systems
  2. Components Required
  3. Understanding the AD8232 ECG Sensor
  4. Project Setup and Circuit Design
  5. Coding the Arduino for ECG Monitoring
  6. Testing and Troubleshooting
  7. Applications and Future Enhancements
  8. Conclusion

Overview of ECG Monitoring Systems

Electrocardiography (ECG) is a critical technology used in healthcare to monitor heart activity. Traditional ECG systems are often bulky and expensive. This project demonstrates a cost-effective, portable alternative by integrating the AD8232 ECG Sensor with Arduino. The system records and displays heart rate data, making it ideal for biomedical applications and academic research.


Components Required

For this project, you’ll need:

  • Arduino Uno
  • AD8232 ECG Sensor Module
  • DSB18B20 Temperature Sensor (optional, for added functionality)
  • 9V battery with connector
  • Jumper wires and breadboard
  • LCD with I2C module (for real-time data display)
  • Laptop or computer for Arduino IDE

You can purchase these components from online electronics stores like SparkFun or Adafruit.


Understanding the AD8232 ECG Sensor

The AD8232 ECG Sensor Module is a low-power analog front end designed for ECG and biopotential measurements. Its features include:

  • Noise suppression for accurate readings
  • Compact design for wearable applications
  • Easy interface with Arduino via analog pins

For more detailed specifications, refer to the AD8232 datasheet.


Project Setup and Circuit Design

Circuit Connections

Follow these steps to connect the components:

  1. Connect the AD8232 Sensor:
    • Connect GND to Arduino GND.
    • Connect 3.3V to Arduino 3.3V.
    • Connect OUTPUT to Arduino analog pin A0.
  2. Add the DSB18B20 Temperature Sensor (Optional):
    • Connect its data pin to digital pin D2 with a pull-up resistor.
  3. LCD with I2C Interface:
    • Connect SDA and SCL pins to Arduino SDA and SCL.
  4. Power Supply:
    • Use a 9V battery for standalone operation.

Circuit Diagram

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Coding the Arduino for ECG Monitoring

Below is the sample Arduino code for ECG monitoring:

#include <Wire.h>
#include <LiquidCrystal_I2C.h>

LiquidCrystal_I2C lcd(0x27, 16, 2);

void setup() {
  Serial.begin(9600);
  lcd.begin();
  lcd.print("ECG Monitoring");
}

void loop() {
  int ecgValue = analogRead(A0);
  lcd.setCursor(0, 1);
  lcd.print("ECG: ");
  lcd.print(ecgValue);
  delay(500);
}

For advanced functionality, consider integrating the DSB18B20 sensor for real-time temperature monitoring.


Testing and Troubleshooting

  • Testing: Connect the electrodes to the AD8232 sensor and place them on your chest as instructed in the sensor manual. Observe the ECG waveform on the Arduino Serial Monitor or display.
  • Troubleshooting:
    • Ensure all connections are secure.
    • Use a fresh 9V battery.
    • Check the Arduino IDE serial monitor for error messages.

Applications and Future Enhancements

This project can be extended with the following features:

  1. Bluetooth Connectivity: Transmit ECG data to smartphones.
  2. Cloud Integration: Store data for remote analysis.
  3. AI Analysis: Implement machine learning algorithms for real-time anomaly detection.

Conclusion

ECG Monitoring with AD8232 and Arduino is a practical, cost-effective project suitable for EEE final-year students. It not only demonstrates the integration of sensors with microcontrollers but also offers immense potential for real-world biomedical applications.

For more Arduino projects, visit HTEBD.

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