The PPG Wrist Pulse Sensor Module is a compact photoplethysmography (PPG) sensor designed for wrist, arm, or finger pulse measurement. It delivers a continuous analog pulse waveform along with a selectable square-wave heart-rate output compatible with common microcontroller platforms.

Operating from a 5V supply, the module consumes under 10mA in typical applications and exposes an XH2.54-4P interface for direct plug-and-play connection to Arduino and STM32 development boards, enabling straightforward integration into wearable prototypes and biofeedback projects.

Features

• Uses green-light PPG (PhotoPlethysmoGraphy) for stable, reliable pulse signal acquisition.
• Dual output modes: continuous analog pulse waveform and digital square-wave pulse output.
• Compatible with 5V systems and communicates via an XH2.54-4P connector for easy hookup.
• Low current consumption (<10mA) optimized for battery-powered and wearable applications.
• Dedicated Arduino library “CheezPPG” with 125Hz sampling rate and serial output support for raw, smooth filtered, bandpass filtered, peak detection, HR, and HRV data.

PINOUT

Figure 1: CheezPPG Pinout Mapping Configuration

Specifications

Applications

• Wrist or finger heart-rate monitoring for wearable prototypes and hobby projects.
• Real-time HR and HRV data collection for biofeedback and fitness experiments.
• Integration into health-adjacent prototypes, research demos, and interactive installations.
• Teaching and learning tool for embedded signal processing and PPG fundamentals.

Package Contents

• 1x PPG Wrist Pulse Sensor Module.
• 1x XH2.54-4P to 4-pin Dupont 30cm cable (for Arduino/MCU connection).
• 1x Wrist Strap.

Arduino Tutorial

Figure 2: Wiring Guide to Arduino Hardware Platform

Software Requirements:

• Arduino IDE >= 2.3

Sample Code:

/* 
Serial output:
        The baud rate is 115200
        Sampling rate: 125Hz 

Serial output content (ASCII):
        Raw data, smooth filter data, band pass filter data, heartbeat detection data, heart rate data, HRV (SDNN) data
*/
#include "CheezPPG.h"
 
#define INPUT_PIN A0    // PPG Pin connected to Analog pin A0
#define SAMPLE_RATE 125

CheezPPG ppg(INPUT_PIN, SAMPLE_RATE);  

void setup() 
{
  Serial.begin(115200); 
  ppg.setWearThreshold(80); // Set the wearing threshold. If wearing detection is not required, it can be set to -1
}

void loop() 
{   
  if (ppg.checkSampleInterval()) 
  {  
    ppg.ppgProcess();
    Serial.println(
      String((int)ppg.getRawPPG())    + "," +  // Raw data
      String((int)ppg.getAvgPPG())    + "," +  // Smooth filter data
      String((int)ppg.getFilterPPG()) + "," +  // Bandpass filtered data
      String((int)ppg.getPpgPeak())   + "," +  // Heartbeat detection data
      String((int)ppg.getPpgHr())     + "," +  // Heart rate data
      String((int)ppg.getPpgHrv())             // HRV(SDNN) data
    );
  }   
}

You can view the dynamic experimental results in real-time through the “Serial Plotter” feature built inside the Arduino IDE.