IoT-Enabled Remote Patient Monitoring System Using Wearable Sensors

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 13 | 01 | Page :
    By

    Manasi Shitole,

  • ,Arati Bhujbal,

  • Vaibhav Godase,

  1. Student, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, India
  2. Student, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, India
  3. Assistant Professor, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, India

Abstract

In recent years, the Internet of Things (IoT) has revolutionized healthcare by enabling seamless connectivity between patients, medical devices, and healthcare professionals. The increasing demand for continuous health monitoring and early disease detection has driven the development of IoT-based remote patient monitoring systems. This paper presents an IoT-enabled framework that integrates wearable physiological sensors, wireless communication modules, and cloud- based analytics to facilitate real-time health tracking. The proposed system continuously collects vital parameters such as heart rate, body temperature, and blood oxygen level (SpO₂) using low- power wearable sensors. To provide dependable and energy-efficient data transfer, collected sensor data is sent over an IoT gateway utilizing lightweight communication protocols. The data is safely processed and stored on a cloud server, where sophisticated analytics and visualization capabilities provide healthcare professionals with actionable insights via an easy-to-use web- based interface. In the event of aberrant health circumstances, this facilitates early intervention, remote diagnosis, and prompt clinical decision-making. By using MQTT for effective message transmission and AES-based encryption to safeguard sensitive medical data, the system architecture prioritizes scalability, interoperability, energy efficiency, and data privacy. Data is transmitted through an IoT gateway to a secure cloud server, where it is processed and visualized on a doctor’s dashboard for clinical decision-making. The system is designed with scalability, energy efficiency, and data privacy in mind, employing lightweight protocols such as MQTT for communication and AES-based encryption for data security. Experimental evaluation using simulated patient datasets demonstrates an average accuracy of 97.3% in vital sign monitoring, with minimal latency of 1.8 seconds and 22% lower power consumption compared to conventional systems. These results highlight the potential of IoT-driven healthcare frameworks in improving accessibility and reducing hospital workloads. The proposed model provides a reliable and cost-effective foundation for next-generation telemedicine applications.

Keywords: Internet of Things (IoT), Remote Patient Monitoring, Wearable Sensors, Cloud Computing, Real-Time Analytics, Healthcare IoT.

How to cite this article:
Manasi Shitole, ,Arati Bhujbal, Vaibhav Godase. IoT-Enabled Remote Patient Monitoring System Using Wearable Sensors. Recent Trends in Electronics Communication Systems. 2026; 13(01):-.
How to cite this URL:
Manasi Shitole, ,Arati Bhujbal, Vaibhav Godase. IoT-Enabled Remote Patient Monitoring System Using Wearable Sensors. Recent Trends in Electronics Communication Systems. 2026; 13(01):-. Available from: https://journals.stmjournals.com/rtecs/article=2026/view=239059


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Ahead of Print Subscription Original Research
Volume 13
01
Received 31/12/2025
Accepted 08/01/2026
Published 23/03/2026
Publication Time 82 Days
68

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