Description

AD8232 ECG Sensor Module – Heart Rate Monitor for Arduino & Wearable Health Projects

Unlock the potential of biopotential measurement in your projects with the AD8232 ECG Sensor Module. Based on the trusted AD8232 integrated circuit from Analog Devices, this compact module provides a straightforward way to measure the electrical activity of the heart (ECG) and monitor heart rate. It’s an excellent choice for students, hobbyists, and developers creating innovative wearable health devices, fitness trackers, or educational tools.

Who is this for?

• Electronics Hobbyists & Makers: Easily integrate heart rate monitoring into Arduino, Raspberry Pi, or other microcontroller projects.
• Students & Educators: A valuable tool for learning about biomedical engineering, signal processing, and biopotentials.
• Developers & Prototypers: Quickly prototype wearable health tech, fitness gadgets, or portable ECG concepts.
• DIY Enthusiasts: Build custom health monitoring systems or interactive projects based on heart rate.

Key Features & Benefits

• Single-Lead ECG Front End: Designed specifically for acquiring ECG signals in the presence of noisy conditions common with motion or remote electrode placement.
• Genuine Analog Devices AD8232 Chip: Built around the industry-recognized AD8232 IC, ensuring reliable performance and signal conditioning.
• Low Power Consumption: Optimized for battery-powered applications, making it ideal for wearables and portable devices.
• Integrated Signal Conditioning: Includes instrumentation amplifiers, filters, and gain stages to extract a clear ECG signal, reducing the need for extensive external circuitry.
• Leads-Off Detection: Features DC leads-off detection to indicate if electrodes lose contact with the skin, improving measurement reliability.
• Simple Analog Output: Provides an analog voltage output proportional to the ECG signal, easily read by most microcontroller Analog-to-Digital Converters (ADCs), including Arduino boards.
• Standard Electrode Connection: Typically uses a 3.5mm TRS jack for connecting standard ECG electrode pads (Please check package contents for exact connector type and included accessories).

Endless Project Possibilities

• DIY Fitness & Activity Trackers
• Portable Heart Rate Monitoring Systems
• Wearable Health Technology Prototypes
• Biomedical Signal Acquisition Learning Platforms
• Heart Rate-Based Game Controllers or Interactive Art
• Stress Level Monitoring Concepts (based on Heart Rate Variability – requires advanced analysis)

Getting Started & Resources

Connecting the AD8232 module is simple:

1. Power: Connect VCC (typically 3.3V) and GND to your microcontroller’s power supply.
2. Output: Connect the OUTPUT pin to an analog input pin on your microcontroller (e.g., A0 on Arduino).
3. Electrodes: Connect the electrode pads via the 3.5mm jack (or specified connector) and attach them to the body as per standard ECG placement (e.g., RA, LA, RL). Consult datasheets and guides for proper placement.
4. Leads-Off (Optional): Connect LO+ and LO- pins to digital inputs to utilize the leads-off detection feature.

Essential Resources:

• Official Analog Devices AD8232 Datasheet (Provides detailed specifications and application circuits)
• Example Arduino Connection & Code Tutorials (Guides for setup and programming are available online)
• Pinout Diagram (Refer to module markings or datasheet for pin functions)

Technical Specifications

• Integrated Circuit: Analog Devices AD8232
• Operating Voltage: 3.3V DC
• Output Type: Analog Voltage
• Interface: 3.5mm TRS Jack for Electrode Input
• Leads-Off Detection: DC Method
• Dimensions: Approx. 35mm x 28mm
• Mounting Holes: Yes, 4 x M2

Package Includes

• 1 x AD8232 ECG Sensor Module Board
• 1 x Electrode Cable ([Specify type, e.g., 3.5mm Jack to 3 Snap Connectors])
• 3 x Disposable Electrode Pads

Note: Please verify the package contents list above reflects the exact items included with your purchase.

Important Safety & Usage Disclaimer

WARNING: This AD8232 ECG Sensor Module is intended for educational, development, and hobbyist purposes ONLY.
It is NOT a certified medical device. It should NOT be used for diagnosing, treating, mitigating, curing, or preventing any disease or health condition. Do not rely on data from this module for any medical decisions. Always consult a qualified healthcare professional for medical advice and diagnosis. Use this module responsibly and ethically.