NEURORESQ: AI-Enhanced IoT-Based Real-Time Medical Emergency Detection and Response System

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{193826,
        author = {Lavanya Santhosh and Praveena M V and Asha K N},
        title = {NEURORESQ: AI-Enhanced IoT-Based Real-Time Medical Emergency Detection and Response System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {1846-1854},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193826},
        abstract = {},
        keywords = {IoT healthcare, Random Forest, fall detection, physiological monitoring, emergency response, wearable sensors, machine learning.},
        month = {March},
        }

Cite This Article

Santhosh, L., & V, P. M., & N, A. K. (2026). NEURORESQ: AI-Enhanced IoT-Based Real-Time Medical Emergency Detection and Response System. International Journal of Innovative Research in Technology (IJIRT), 12(10), 1846–1854.

Related Articles