MAX30102 Pulse Oximeter Heart Rate Sensor Module

Product Description

The MAX30102 Sensor Module is an integrated pulse oximeter and heart-rate sensor designed for wearable and health monitoring applications. It combines LEDs, photodetectors, and a high-sensitivity optical sensor in a compact module capable of measuring blood oxygen saturation (SpO₂) and heart rate (BPM) using light absorption.

This module is ideal for projects involving health tracking, fitness devices, biometric monitoring, and interactive wearables. It communicates over I²C and can be easily interfaced with Arduino, ESP32, STM32, Raspberry Pi, or any microcontroller with I²C support.

✨ Key Features

• Measures heart rate (BPM) and blood oxygen saturation (SpO₂)

• Built-in red and infrared LEDs with photodetector

• Low power and compact design

• Works over I²C interface (SDA, SCL)

• Compatible with Arduino, ESP32, STM32, Raspberry Pi, etc.

• Easy to integrate with open-source libraries

• Ideal for health and fitness monitoring projects

• Improved ambient light cancellation for accuracy

• Can be mounted on finger or earlobe via custom housing

📐 Technical Specifications

📡 Sensor & Measurement

• Sensor Type: Pulse oximeter and heart rate monitor

• LEDs: Red (~660 nm) and Infrared (~880 nm)

• Detection: Light absorption to estimate SpO₂ and pulse

• Output: Digital via I²C

📶 Interface

• Communication Protocol: I²C

• Logic Level: 3.3 V (level shifting required for 5 V logic if needed)

• Pins:

  • VIN/VCC: 3.3 V (some breakout boards support 5 V via regulator)

  • GND: Ground

  • SDA: I²C data

  • SCL: I²C clock

  • INT: Interrupt (optional)

🧠 Power

• Operating Voltage: ~1.8 V core, 3.3 V supply (breakout boards may include regulator)

• Low Power Consumption: Suitable for battery operation

🛠️ Compatibility

• Microcontrollers: Arduino, ESP32, STM32, PIC, AVR, etc.

• Single-board Computers: Raspberry Pi, BeagleBone, etc.

📦 Physical

• Module Size: Small, compact breakout board

• Mounting: Pin headers or solder points

🧰 Typical Applications

• Heart rate monitoring

• Blood oxygen saturation (SpO₂) measurement

• Wearable health trackers

• Fitness and wellness devices

• Biometric sensing systems

• Interactive health projects for makers

🔧 How It Works (Quick Overview)

1. Place the sensor where blood flow is detectable (finger, earlobe).

2. Illuminate with LEDs: Red and infrared light penetrate tissue.

3. Measure reflected light: Detector captures variations due to blood flow.

4. Compute SpO₂ and BPM: Firmware algorithms derive physiological values.

5. Output via I²C: Microcontroller reads sensor data for processing and display.

🧠 Integration Tips

• Use established libraries (like Arduino MAX3010x libraries) to simplify coding.

• Add proper time averaging and signal filtering for more stable readings.

• Ensure good sensor contact (gentle pressure) for accurate detection.

• Keep the sensor area free of ambient light interference.