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
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Measures heart rate and blood oxygen saturation (SpO₂)
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Integrated red and infrared LEDs and photodetector
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High ambient light rejection for accurate readings
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Low power consumption – ideal for wearable and battery-powered applications
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Communicates via I2C interface
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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
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Wearable fitness and health devices
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Pulse and oxygen monitoring in healthcare systems
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Real-time biometric tracking for IoT projects
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Sports performance and wellness analytics
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DIY health monitoring projects
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