The Real-Time Heart Monitoring System Using Blynk integrated with IoT

Jegathambal, P. M. G. and Sheela Gowr, P. and Yamini, B. (2025) The Real-Time Heart Monitoring System Using Blynk integrated with IoT. In: International Conference on Neural Evolution & Adaptive Intelligence (ICNEAI -2025).

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Abstract

The Real-Time Heart Monitoring System Using Blynk is an Internet of Things (IoT)-based project
developed to provide continuous, real-time monitoring of crucial health parameters: heart rate and
blood oxygen saturation (SpO₂). The importance of personal health monitoring is increasingly
evident, as individuals seek convenient, reliable solutions to manage their health independently and
stay informed about their vital signs. This system addresses that need by leveraging IoT technology
to allow users to track their heart health remotely and continuously, empowering proactive health
management from the comfort of their home. This project combines hardware components with
an intuitive software platform to deliver health data in real time. It operates through a MAX30100
pulse oximeter sensor paired with an ESP8266 microcontroller. The MAX30100 sensor is designed
to accurately detect heart rate and SpO₂ levels, providing reliable, up-to-the-minute readings. The
ESP8266 microcontroller, with its integrated Wi-Fi capabilities, acts as the data-processing unit
and enables seamless wireless data transmission to the cloud. Data collected from the sensor is
then sent to the Blynk IoT platform, a mobile-friendly application that visualizes health data on a
user’s smartphone or other connected devices. Through the Blynk app, users can view their heart
rate and SpO₂ readings in real time, allowing them to assess their health status conveniently and
from any location with internet access. The primary objectives of this project are to provide an
easy-to- use, portable solution for real-time heart monitoring, facilitate wireless data connectivity
for remote access, and offer a user-friendly interface for health data visualization via Blynk. By
integrating the MAX30100 sensor and ESP8266 microcontroller with the Blynk IoT platform, this
system delivers a scalable and cost-effective solution to track critical health metrics continuously.
This project has wide-reaching applications, from personal health monitoring and elder care to fitness
tracking and sports health management, as it enables users to stay informed about their health and
make timely decisions based on accurate, accessible data. Key components of this system include
the MAX30100 pulse oximeter sensor for detecting heart rate and SpO₂, the ESP8266
microcontroller for data processing and Wi-Fi connectivity, and the Blynk IoT platform for data
visualization and remote monitoring.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science Engineering > Internet of Things
Domains: Computer Science Engineering
Depositing User: Mr Prabakaran Natarajan
Date Deposited: 15 Dec 2025 07:23
Last Modified: 15 Dec 2025 07:23
URI: https://ir.vistas.ac.in/id/eprint/11457

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