Heartbeat Monitoring System Using Arduino

Heartbeat Monitoring System Using Arduino

Cardiovascular events often manifest through subtle electrophysiological precursors hours before acute manifestation. This IoT-enabled cardiac sentinel captures a single-lead ECG signal through dry electrodes, applies real-time QRS complex detection, and extracts heart rate variability metrics indicative of autonomic dysfunction. A trained decision tree model, executed on the edge device, classifies each thirty-second epoch as normal, bradycardic, tachycardic, or fibrillatory. Upon detection of a life-threatening rhythm, the system autonomously dispatches geotagged emergency SMS alerts to pre-registered contacts and nearest medical response units, simultaneously logging the event timestamp and waveform snapshot to cloud storage for subsequent clinical review. The device prioritizes low false-alarm rates through adaptive thresholding and motion artifact rejection.

Components

Arduino Uno
Pulse Sensor SEN-11574
16x2 LCD
Buzzer
LED Indicators

Components	Hexkart	Flipkart
Arduino Uno	Buy Now	Buy Now
Pulse Sensor SEN-11574	Buy Now	Buy Now
16x2 LCD	Buy Now	Buy Now
Buzzer	Buy Now	Buy Now
LED Indicators	Buy Now	Buy Now

Arduino

Arduino is an open source electronic prototyping platform.Arduino board designs use a variety of microprocessors and controllers. The boards are equipped with sets of digital and analog input/output (I/O) pins that may be interfaced to various expansion boards ('shields') or breadboards (for prototyping) and other circuits. The boards feature serial communications interfaces, including Universal Serial Bus (USB) on some models, which are also used for loading programs. The microcontrollers can be programmed using the C and C++ programming languages, using a standard API which is also known as the Arduino language, inspired by the Processing language and used with a modified version of the Processing IDE.

Pulse Sensor SEN-11574

The Pulse Sensor SEN-11574 is a plug-and-play heart rate sensor for Arduino. It uses photoplethysmography (PPG) — a green LED emits light into the fingertip or earlobe, and an ambient light photodetector measures the amount of reflected light. As blood pulses through the tissue with each heartbeat, it changes the light absorption characteristics. The sensor amplifies and filters this signal, outputting an analog waveform that the Arduino reads through its ADC. With proper signal processing, the Arduino calculates BPM in real-time.