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AD8232 ECG Heart Rate Monitoring Sensor Module

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SKU : EMSEN8002

  1. Single-lead ECG signal acquisition sensor
  2. Measures heart electrical activity
  3. Ready-to-use with electrodes & microcontrollers
₹ 411.00 ₹ 411.00

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Product Description

The AD8232 ECG Heart Rate Monitoring Sensor Module is a compact analog front-end designed to extract, amplify, and filter biopotential signals from the human heart. It is often used as a basic single-lead electrocardiogram (ECG/EKG) sensor in wearable health devices, biofeedback systems, heart rate monitors, and medical experimentation projects.

The module includes onboard amplification, filtering, and a reference output that makes it easy to interface with microcontrollers like Arduino, ESP32, STM32, Raspberry Pi (using ADC), and others that can process analog input. With its low power consumption and simple pinout, the AD8232 is ideal for projects involving heart monitoring, pulse rate detection, and other physiological signal acquisition.

Key Features

  • Single-lead ECG signal acquisition


  • Onboard instrumentation amplifier & filter circuitry


  • High-impedance inputs for skin-safe electrodes


  • Analog output for microcontroller ADC


  • Low power and compact design


  • Provides heart rate waveform & beat detection


  • Compatible with Arduino, ESP32, STM32, and others


Package Includes

  • 1 × AD8232 ECG Heart Rate Monitoring Sensor Module


  • Header pins (may vary by supplier)


  • Electrode cables & pads (may vary)


Technical Specifications

Parameter

Specification

Sensor

AD8232 ECG analog front-end

Output

Analog ECG waveform

Operating Voltage

3.3 V – 5 V DC

Interface

Analog to microcontroller ADC

Inputs

Electrode leads connection

Gain Stage

Onboard instrumentation gain

Filtering

Low-pass / high-pass ECG band filtering

Compatible Boards

Arduino / ESP32 / STM32

Dimensions

~30 × 25 mm (approx)

Applications

  • Heart rate & single-lead ECG monitoring


  • Wearable health sensor systems


  • Biofeedback and physiological experiments


  • Fitness & pulse detection systems


  • Healthcare prototypes & DIY medical devices


  • Heartbeat waveform visualization projects