MAX30102 Heart Rate and Pulse Oximeter Sensor

170.00

MAX30102 Heart Rate and Pulse Oximeter Sensor – Biometric Monitoring Module for Wearables and Health Devices

The MAX30102 is a compact, high-precision sensor module that integrates a pulse oximeter and heart-rate monitor into a single device. Designed specifically for wearable health and fitness devices, this module uses advanced optical technology to measure oxygen saturation levels (SpO₂) and heart rate through skin contact.

It features integrated red and infrared LEDs, a photodetector, low-noise analog signal processing, and a digital output via an I2C interface. With excellent ambient light cancellation and low power consumption, the MAX30102 is perfect for battery-powered applications.

This sensor module is ideal for health monitoring systems, fitness bands, smartwatches, and IoT-based medical devices. It’s compatible with most microcontrollers, including Arduino, ESP32, and STM32 platforms, making it easy to implement in both beginner and professional projects.


Key Features

  • Measures heart rate and blood oxygen saturation (SpO₂)

  • Integrated red and infrared LEDs and photodetector

  • High ambient light rejection for accurate readings

  • Low power consumption – ideal for wearable and battery-powered applications

  • Communicates via I2C interface

  • Small form factor for easy integration into compact designs


Product Specifications

Feature Specification
Sensor Type Pulse Oximeter and Heart Rate Sensor
Operating Voltage 1.8V (core), 3.3V (power via onboard regulator)
Communication Interface I2C
LED Wavelengths Red: ~660nm, IR: ~880nm
LED Drive Current Programmable up to 50mA
Sampling Rate 50 to 3200 samples per second
Operating Temperature -40°C to +85°C
Dimensions ~14mm x 14mm x 4mm (varies by breakout board)
Output Data SpO₂ level and heart rate (bpm)
Compatible Platforms Arduino, ESP32, STM32, Raspberry Pi, etc.
Applications Fitness trackers, smartwatches, health monitors, biomedical IoT devices

Applications

  • Wearable fitness and health devices

  • Pulse and oxygen monitoring in healthcare systems

  • Real-time biometric tracking for IoT projects

  • Sports performance and wellness analytics

  • DIY health monitoring projects

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