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Cost-Effective IoT-Based Real-Time Vital Sign Monitoring: An Affordable Telehealth Solution

Authors

  • G. Krishnapriya, PhD Assistant Professor, Department of Computer Science, School of Engineering and Technology, Pondicherry University, Puducherry, India
  • Prema S, ME Department of Computer Science, School of Engineering and Technology, Pondicherry University, India; School of Computing, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India; Department of Computer Science, School of Engineering and Technology, Pondicherry University, India https://orcid.org/0009-0003-5752-7516

DOI:

https://doi.org/10.30953/thmt.v10.611

Keywords:

Blood oxygen levels, ESP32 Devkit V1, MAX30102 sensor, heart rate, remote healthcare, remote patient monitoring, telemedicine, telehealth

Abstract

Background:.Maintaining a healthy lifestyle amidst a busy work schedule has become a significant challenge today. Healthcare is evolving with the integration of IoT and machine learning, enabling smarter and more efficient patient care. IoT devices continuously collect real-time health data. This combination will supports proactive healthcare, especially for chronic patients and the elderly. 

Objective: This paper aims to propose a new cost-effective patient monitoring system using ESP32 Devkit V1 and MAX30102 sensor for remote and non-invasive collection of the important signs of the human body for the telemedicine use and to improve on the personalized care delivery.

Methods:This is a functional system with hardware and software working together, with one of the systems, the ESP32 Devkit V1 in the processing units. The system displays the real time data, which helps the users to monitor their health conveniently . The IoT architecture employed offers an efficient means of remote monitoring and analysis of the health data.

Results:The new system was able to successfully measure important vital parameters like heart rate and oxygen levels.The system was able to incorporate hardware and software successfully in remote healthcare applications.Pilot validation of test cases gives the accuracy of HR: 99.88%,  SpO₂: 99.38%

Discussion: Health is a fundamental aspect of every individual’s life. Incorporating technology for healthcare will help the individual to have personalized care especially when supported by a well trained patient monitoring system. The pilot data are from a small sample.However,Broader clinical validation is required before clinical deployment.

 

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Published

2025-12-29

Versions

How to Cite

Krishnapriya, PhD, G. ., & S., P. (2025). Cost-Effective IoT-Based Real-Time Vital Sign Monitoring: An Affordable Telehealth Solution . Telehealth and Medicine Today, 10(4). https://doi.org/10.30953/thmt.v10.611