Remote Health Monitoring System Using Simulated IoT Sensors

  • Unique Paper ID: 182885
  • PageNo: 3398-3403
  • Abstract:
  • The Internet of Things (IoT) has revolutionized healthcare by enabling real-time monitoring of patient vitals. This paper presents a Remote Health Monitoring System using simulated sensors to monitor vital signs such as heart rate, temperature, oxygen saturation (SpO2), and fall detection. Unlike traditional hardware-based systems, the proposed setup uses Python and JavaScript to generate realistic health data, which is sent to Firebase and visualized on a web dashboard. This simulation-centric approach is cost-effective, scalable, and serves as a powerful educational tool. The paper also includes a literature review of existing systems, discusses implementation, and highlights future possibilities such as real sensor integration and AI-powered predictive diagnostics.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{182885,
        author = {Disha Rochlani and Reshma Tripathi and Arzoo Khan and Anuradha Patel Singh},
        title = {Remote Health Monitoring System Using Simulated IoT Sensors},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {3398-3403},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182885},
        abstract = {The Internet of Things (IoT) has revolutionized healthcare by enabling real-time monitoring of patient vitals. This paper presents a Remote Health Monitoring System using simulated sensors to monitor vital signs such as heart rate, temperature, oxygen saturation (SpO2), and fall detection. Unlike traditional hardware-based systems, the proposed setup uses Python and JavaScript to generate realistic health data, which is sent to Firebase and visualized on a web dashboard. This simulation-centric approach is cost-effective, scalable, and serves as a powerful educational tool. The paper also includes a literature review of existing systems, discusses implementation, and highlights future possibilities such as real sensor integration and AI-powered predictive diagnostics.},
        keywords = {},
        month = {July},
        }

Cite This Article

Rochlani, D., & Tripathi, R., & Khan, A., & Singh, A. P. (2025). Remote Health Monitoring System Using Simulated IoT Sensors. International Journal of Innovative Research in Technology (IJIRT), 12(2), 3398–3403.

Related Articles