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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