Project Hub /Healthcare Biomedical & Assistive/Pulse Oximeter & Vital Scanner/How to Interface Heartbeat (Pulse) Sensor with Arduino
How to Interface Heartbeat (Pulse) Sensor with Arduino
Intermediate
ARDUINO
₹500 – ₹1,500
3 – 6 Hours
Partial Kit

How to Interface Heartbeat (Pulse) Sensor with Arduino

Learn how to interface a pulse heartbeat sensor with an Arduino Uno and an OLED display to measure and display real-time heart rate values in beats per minute (BPM).

Originally published on CircuitDigest
View original tutorial
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Parts You'll Need

This project is sourced from another site, not written by us — this list is our best match of their components against what we stock, not a verified bill of materials. Always check the original blog (linked above) for the actual parts list before buying.

We don't carry yet: Pulse / Heart Rate Sensor

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How It Works

Why Build This

Gain hands-on experience designing biomedical instrumentation and vital sign measurement systems suitable for undergraduate engineering portfolios.
Implement digital signal processing techniques on an Arduino Uno to filter analog sensor noise and accurately extract biological event timings.
Integrate visual output peripherals like OLED displays via communication protocols to present real-time telemetry data.

Real-World Application

Fitness and wellness trackers, DIY heart rate monitors, and basic health monitoring education.

Skills You'll Learn

Analog signal acquisition
digital signal filtering
I2C protocol communication
display driver library integration
biometric sensor interfacing

Safety Precautions

Heartbeat sensor modules emit low-level non-harmful optical light, but they are designed for fitness and wellness applications and should not be used for critical medical diagnostics.

Technology Tags

ARDUINO
PULSE SENSOR
HEARTBEAT SENSOR
OLED DISPLAY
PHOTOPLETHYSMOGRAM
C++
SENSORS
WEARABLES

Frequently Asked Questions

No. The heartbeat sensor module is intended strictly for wellness, fitness tracking, and educational purposes and lacks the clinical precision required for medical diagnostics.
Ensure that the Adafruit SSD1306 library is correctly installed in your Arduino IDE, your I2C wiring (SDA and SCL) is secure, and the correct display I2C address is initialized in your code.
Excessive movement or applying too much or too little pressure on the optical sensor can distort the photoplethysmogram waveform, leading to inaccurate BPM calculations.

Gallery

This page is part of Kitkraft's Project Hub — a curated collection of electronics & robotics projects gathered from the maker community to help students and hobbyists discover and learn to build. Kitkraft does not claim authorship of the original project, and makes no representation as to the accuracy, completeness or safety of third-party source material. The summary and "How It Works" explanation above are AI-generated, rewritten with reference to the original tutorial — not a reproduction of it. Full credit and a direct link to the original source are provided above. If you're the original creator and have a concern about how your work is represented here, please contact us and we'll address it promptly.

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