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How to Use Gravity: Analog Heart Rate Monitor Sensor (ECG): Examples, Pinouts, and Specs

Image of Gravity: Analog Heart Rate Monitor Sensor (ECG)
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Introduction

The Gravity: Analog Heart Rate Monitor Sensor (ECG), manufactured by DFRobot (Part ID: SEN0213), is a versatile sensor designed to measure the electrical activity of the heart. It provides real-time heart rate data through an analog output, making it ideal for applications in health monitoring, fitness tracking, and biofeedback systems. This sensor is easy to integrate into microcontroller-based projects, such as those using Arduino, due to its simple interface and compatibility with the Gravity series.

Explore Projects Built with Gravity: Analog Heart Rate Monitor Sensor (ECG)

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
Heltec LoRa V2 and AD8232 Gravity Sensor-Based Health Monitoring System with GPS
Image of heart rate with Lora module: A project utilizing Gravity: Analog Heart Rate Monitor Sensor (ECG) in a practical application
This circuit integrates a Heltec LoRa V2 microcontroller with an AD8232 Gravity Sensor to read and transmit analog heart rate data. The sensor's output is connected to the microcontroller, which reads the data and prints it to the Serial Monitor. The circuit is designed for remote health monitoring applications.
Cirkit Designer LogoOpen Project in Cirkit Designer
Triple AD8232 Heart Rate Monitor with Arduino Uno
Image of DfRobot_Arduino: A project utilizing Gravity: Analog Heart Rate Monitor Sensor (ECG) in a practical application
This circuit is designed to monitor heart rate signals using three AD8232 Gravity Heart Rate Sensors connected to an Arduino Uno R3. The sensors' analog outputs are connected to the Arduino's analog input pins A0, A1, and A2 for signal processing. The common ground and power supply connections indicate that all sensors are powered by the Arduino, which likely processes and interprets the heart rate signals from multiple channels.
Cirkit Designer LogoOpen Project in Cirkit Designer
ESP32-S3 and AD8232 Heart Rate Monitor with Electrode Detection
Image of ecg: A project utilizing Gravity: Analog Heart Rate Monitor Sensor (ECG) in a practical application
This circuit is an electrocardiograph (ECG) system that uses an AD8232 Heart Rate Monitor to measure heart rate signals and an ESP32-S3 microcontroller to process and display the data. The ESP32-S3 reads the ECG signal and electrode status from the AD8232 and outputs the information to the Serial Monitor, ensuring proper electrode attachment.
Cirkit Designer LogoOpen Project in Cirkit Designer
Arduino Nano-Based ECG Data Logger with OLED Display and SD Card Storage
Image of ECG: A project utilizing Gravity: Analog Heart Rate Monitor Sensor (ECG) in a practical application
This circuit is designed for ECG data collection and display. It uses an AD8232 Heart Rate Monitor to capture heart signals, which are then processed by an Arduino Nano. The data is logged to a microSD card and can be visualized on an OLED display, with power management handled by a TP4056 charger module for a 18650 battery and a MT3608 boost converter to step up the voltage for the Arduino Nano.
Cirkit Designer LogoOpen Project in Cirkit Designer

Explore Projects Built with Gravity: Analog Heart Rate Monitor Sensor (ECG)

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
Image of heart rate with Lora module: A project utilizing Gravity: Analog Heart Rate Monitor Sensor (ECG) in a practical application
Heltec LoRa V2 and AD8232 Gravity Sensor-Based Health Monitoring System with GPS
This circuit integrates a Heltec LoRa V2 microcontroller with an AD8232 Gravity Sensor to read and transmit analog heart rate data. The sensor's output is connected to the microcontroller, which reads the data and prints it to the Serial Monitor. The circuit is designed for remote health monitoring applications.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of DfRobot_Arduino: A project utilizing Gravity: Analog Heart Rate Monitor Sensor (ECG) in a practical application
Triple AD8232 Heart Rate Monitor with Arduino Uno
This circuit is designed to monitor heart rate signals using three AD8232 Gravity Heart Rate Sensors connected to an Arduino Uno R3. The sensors' analog outputs are connected to the Arduino's analog input pins A0, A1, and A2 for signal processing. The common ground and power supply connections indicate that all sensors are powered by the Arduino, which likely processes and interprets the heart rate signals from multiple channels.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of ecg: A project utilizing Gravity: Analog Heart Rate Monitor Sensor (ECG) in a practical application
ESP32-S3 and AD8232 Heart Rate Monitor with Electrode Detection
This circuit is an electrocardiograph (ECG) system that uses an AD8232 Heart Rate Monitor to measure heart rate signals and an ESP32-S3 microcontroller to process and display the data. The ESP32-S3 reads the ECG signal and electrode status from the AD8232 and outputs the information to the Serial Monitor, ensuring proper electrode attachment.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of ECG: A project utilizing Gravity: Analog Heart Rate Monitor Sensor (ECG) in a practical application
Arduino Nano-Based ECG Data Logger with OLED Display and SD Card Storage
This circuit is designed for ECG data collection and display. It uses an AD8232 Heart Rate Monitor to capture heart signals, which are then processed by an Arduino Nano. The data is logged to a microSD card and can be visualized on an OLED display, with power management handled by a TP4056 charger module for a 18650 battery and a MT3608 boost converter to step up the voltage for the Arduino Nano.
Cirkit Designer LogoOpen Project in Cirkit Designer

Common Applications

  • Personal health monitoring systems
  • Fitness trackers
  • Biofeedback devices
  • Educational and research projects in biomedical engineering
  • Heart rate-based control systems

Technical Specifications

Below are the key technical details and pin configuration for the Gravity: Analog Heart Rate Monitor Sensor (ECG):

Key Technical Details

Parameter Value
Operating Voltage 3.3V to 5.5V
Output Signal Analog
Output Voltage Range 0V to 3.3V
Operating Current < 10mA
Measurement Range 0 to 100 beats per minute (BPM)
Interface Type Gravity 3-pin interface
Dimensions 35mm x 22mm
Weight 7g

Pin Configuration

Pin Name Description
VCC Power supply input (3.3V to 5.5V)
GND Ground connection
SIG Analog signal output representing heart activity

Usage Instructions

How to Use the Sensor in a Circuit

  1. Connect the Sensor:

    • Connect the VCC pin to the 5V (or 3.3V) power supply of your microcontroller.
    • Connect the GND pin to the ground of your microcontroller.
    • Connect the SIG pin to an analog input pin on your microcontroller (e.g., A0 on an Arduino UNO).
  2. Attach the Electrodes:

    • Place the included electrodes on the subject's chest or arms as per the instructions provided with the sensor.
    • Connect the electrode cables to the sensor module.
  3. Read the Analog Signal:

    • The sensor outputs an analog voltage signal proportional to the heart's electrical activity. This signal can be read using the analog input of a microcontroller.
  4. Process the Signal:

    • Use a microcontroller to process the analog signal and extract heart rate data. You can use libraries or write custom code to calculate beats per minute (BPM).

Important Considerations and Best Practices

  • Ensure the electrodes are properly attached to the skin for accurate readings.
  • Avoid placing the sensor near strong electromagnetic interference (e.g., motors or Wi-Fi routers).
  • Use a stable power supply to minimize noise in the analog signal.
  • For best results, keep the subject relaxed and still during measurements.

Example Code for Arduino UNO

Below is an example code snippet to read and process the sensor's output using an Arduino UNO:

// Include necessary libraries
const int sensorPin = A0; // Analog pin connected to SIG pin of the sensor
int sensorValue = 0;      // Variable to store the analog reading

void setup() {
  Serial.begin(9600); // Initialize serial communication at 9600 baud
  pinMode(sensorPin, INPUT); // Set the sensor pin as input
}

void loop() {
  // Read the analog value from the sensor
  sensorValue = analogRead(sensorPin);

  // Convert the analog value to voltage (assuming 5V reference)
  float voltage = sensorValue * (5.0 / 1023.0);

  // Print the raw sensor value and voltage to the Serial Monitor
  Serial.print("Raw Value: ");
  Serial.print(sensorValue);
  Serial.print(" | Voltage: ");
  Serial.println(voltage);

  delay(100); // Delay for 100ms before the next reading
}

Notes:

  • The above code reads the raw analog signal and converts it to voltage. To calculate BPM, additional signal processing (e.g., peak detection) is required.
  • Use libraries like PulseSensor Playground or write custom algorithms for BPM calculation.

Troubleshooting and FAQs

Common Issues and Solutions

Issue Solution
No output signal - Check all connections (VCC, GND, SIG).
- Ensure the sensor is powered (3.3V to 5.5V).
- Verify that the electrodes are properly attached to the skin.
High noise in the signal - Ensure the subject is still and relaxed.
- Use shielded cables to reduce electromagnetic interference.
- Check for a stable power supply.
Incorrect or fluctuating BPM values - Verify electrode placement and skin contact.
- Use signal filtering techniques in your code to smooth the data.

FAQs

  1. Can this sensor be used with a 3.3V microcontroller?

    • Yes, the sensor operates within a voltage range of 3.3V to 5.5V, making it compatible with 3.3V systems.
  2. How do I calculate BPM from the analog signal?

    • You can calculate BPM by detecting peaks in the analog signal that correspond to heartbeats. Use libraries or write custom code for peak detection.
  3. Can this sensor be used for medical-grade applications?

    • No, this sensor is intended for educational and hobbyist purposes only. It is not certified for medical use.
  4. What is the recommended placement for the electrodes?

    • The electrodes should be placed on the chest or arms as per the instructions provided with the sensor for optimal signal quality.

By following this documentation, you can effectively integrate the Gravity: Analog Heart Rate Monitor Sensor (ECG) into your projects and troubleshoot common issues.