Copyright © 2025 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.

@article{178731,
        author = {SHUBHAM MISHRA and Vishal Singh and Sumit Srivastava},
        title = {Iot based health monitoring system using multi sensor},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {8757-8764},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178731},
        abstract = {The rapid advancement of Internet of Things (IoT) technologies has revolutionized remote healthcare by enabling real-time patient monitoring outside clinical settings. This paper presents an Arduino-based, multi-sensor health monitoring system that captures critical physiological parameters—heart rate (ECG), galvanic skin response (GSR), body temperature, and ambient humidity—and transmits data wirelessly to ThingSpeak Cloud via an ESP8266 Wi-Fi module. Unlike traditional systems reliant on GSM/GPRS, our approach leverages Wi-Fi connectivity for lower operational costs and better compatibility with home and hospital networks. The system processes sensor data on an Arduino Uno microcontroller and displays real-time readings on a 16×2 LCD. Data is securely transmitted to ThingSpeak, where automated threshold-based email alerts are triggered if anomalies (e.g., irregular heart rate or high temperature) are detected. Experimental validation confirms <1-second latency in cloud transmission and >98% data accuracy, making the system viable for elderly care, chronic disease management, and post- operative monitoring. Key advantages include: - Cost- effectiveness (uses off-the-shelf sensors and open-source platforms). - Scalability (supports multiple patients via cloud storage). - Energy effectiveness (optimized for nonstop 24/7 monitoring). This work islands the gap between low- cost IoT results and medical- grade monitoring, demonstrating how affordable bedded systems can enhance healthcare availability in resource- limited settings.},
        keywords = {IoT, Arduino, health monitoring, sensors, cloud computing, GSM/GPRS},
        month = {May},
        }