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5pcs Heart Rate Sensor Module MAX30102 Pulse Detection Blood Oxygen Concentration Calculation Modules Heart Rate Sensors Compatible for Arduino STM32

4.3 (1) Write Review
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$12.99

$ 6 .99 $6.99

In Stock

1.Size:5pcs


About this item

  • Working voltage:1.8~3.3~5.5V;LED peak wavelength:660nm/880nm;Monitoring signal type:Optical reflection signal (PPG);Communication interface:I2C interface board;Dimension of the reserved assembly hole:0.02x0.33 inch.
  • MAX30102 Integrated Module---An integrated heart rate sensor module that integrates red LED, infrared LED,optical device, photoelectric detector, and low-noise electronic circuits with ambient light suppression.
  • 50v built-in LED power supply---The chip can turn off the module through software, and the standby current is close to zero,maintaining power supply.
  • I2c-compatible communication interface---The I2C-compatible communication interface can transmit the collected data, and is compatible for Arduino,KL25Z for heart rate and blood oxygen calculation.
  • Usage---Wearable device for heart rate and blood oxygen collection.
  • Package includes---5 x MAX30102 heart rate sensor modules.If you have any questions, feel free to tell us.


Specification:
LED peak wavelength:660nm/880nm.
LED power supply voltage:3.3~5V.
Detection Signal Type:Optical Reflection Signal (PPG).
Output Signal Interface: I2C Interface.
Communication Interface Voltage:1.8~3.3V~5V
Reserve Mounting Hole Size:0.5x8.5mm/0.02x0.33Inches.
Interface:
VIN:Main power input 1.8V-5V
3-bit pad:
I2C bus pull up level,
(1.8V or 3.3V can be chosen according to the pin master voltage)
SCL:I2C bus clock
SDA:Connects the I2C bus data
INT:MAX30102 chip,interrupt pin
RD:MAX30102 chip,RD LED grounding terminal,(generally no need to connect)
IRD:MAX30102 chip,IR LED grounding terminal,(generally no need to connect)
GND: grounding wire
Package includes:
5pcs x MAX30102 Heart Rate Sensor Module


Aleksander Malinowski
2025-01-25 21:35:01
I purchased these for my students' junior lab project. The Arduino library provided on GitHub was easy to adopt to pure C or C++ development. Students were able to quickly redevelop the software for their microcontroller to use the sensor and import data via a microcontroller and then UART-USB connector to a computer for further processing using Matlab.