Pulse Heart Rate Sensor Module for Arduino – KSH 400 at HIMASTORES Mombasa – best electronics in Kenya

Pulse Heart Rate Sensor Module for Arduino

SKU: HMJ124 Category: Sensors
KSH 400.00
In Stock

Product Description

Pulse Heart Rate Sensor Module for Arduino

Optical PPG Sensor for Heartbeat and Pulse Detection

The pulse heart rate sensor is an optical sensor that uses Photoplethysmography (PPG) technology to detect blood volume changes in the finger or earlobe [citation:1][citation:15]. It works by shining a light and measuring the reflected or transmitted light, creating a waveform that corresponds to each heartbeat [citation:1]. This plugandplay module is widely used in wearable devices, fitness projects, and biomedical prototyping with Arduino and other microcontrollers [citation:1][citation:2][citation:6].

Optical Pulse Detection - Uses green or IR light to measure blood flow changes with each heartbeat [citation:1]
Simple 3Pin Interface Connects via VCC, GND, and analog signal output pin [citation:2][citation:6]
Operating voltage: 3V to 5V DC with current consumption ~4mA [citation:6][citation:12]
Signal output: Analog waveform for processing to calculate BPM [citation:2]
This sensor is designed for educational and hobby projects — it is not a medical device [citation:6]

Technical Specifications (Typical)

ParameterValue
Sensor TypeOptical PPG (Photoplethysmogram) [citation:1][citation:10]
Operating Voltage3V to 5V DC [citation:6][citation:12]
Current Draw~4mA [citation:6][citation:12]
Output TypeAnalog signal (connect to ADC pin) [citation:2][citation:6]
Interface3-Pin: VCC, GND, Signal [citation:1][citation:2]
Working PrincipleLED (Green/IR) + Phototransistor/Photosensor [citation:1][citation:2]

= Key Features =

+Simple & PlugandPlay - Connects directly to Arduino with standard male headers [citation:6][citation:11]

+Versatile Applications - Used in smartwatches, fitness bands, and DIY health projects [citation:1]

+Noise Cancellation Circuitry - Many modules include amplification for reliable pulse readings [citation:8][citation:12]

+Multiple Mounting Options - Can be used with ear clip, finger strap, or tape [citation:11][citation:12]

+Wide Compatibility Works with Arduino, ESP32, and other 3.3V5V microcontrollers [citation:2]

= Applications =

  1. Wearable health monitors and fitness trackers
  2. Heartbeat visualization projects (waveform display) [citation:8]
  3. Biometric and biofeedback systems
  4. Educational and research projects in biomedical engineering
  5. Interactive art and gaming projects
Proven & Popular - Trusted by makers for heart rate projects [citation:8][citation:15]
Wide Library & Tutorial Support - Includes Arduino code and Processing visualization [citation:8]

√ Compatible with Arduino, ESP32, Raspberry Pi, and other MCUs

√ Ideal for student projects, hobbyists, and prototyping

Connection Guide (to Arduino)

Sensor PinArduino PinFunction
VCC3.3V or 5VPower supply [citation:1][citation:15]
GNDGNDGround [citation:1]
Signal (S/OUT)A0 (Analog)Analog signal output [citation:1][citation:15]

> Use A0 analog pin for signal reading; connect VCC to either 3.3V or 5V (check module specs)

Many tutorials include examples for visualizing the pulse waveform using Processing [citation:8]
This sensor provides a raw analog signal — processing is required to calculate BPM
Do not place finger too tightly or too loosely on the sensor for best readings

Troubleshooting

No signal or weak signal:

  • Ensure finger or earlobe is placed correctly over the sensor
  • Check that VCC is connected to 3.3V or 5V [citation:1]
  • Avoid bright ambient light which can interfere with readings

Unstable or noisy waveform:

  • Use a stable power supply (e.g., USB, not battery) [citation:1]
  • In home lighting, 50Hz/60Hz flicker can introduce noise; shield sensor from stray light [citation:2]
  • Check for secure connections

Important Health Disclaimer: This sensor is intended for educational and hobby projects only. It is not a medical device and should not be used for diagnosis or treatment . For accurate health data, please consult a medical professional.