Iot based health monitoring system using multi sensor

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SHUBHAM MISHRA; Vishal Singh; Sumit Srivastava

Iot based health monitoring system using multi sensor

Authors: SHUBHAM MISHRA, Vishal Singh, Sumit Srivastava

Unique Paper ID: 178731
Volume: 11
Issue: 12
PageNo: 8757-8764

Keywords: IoT Arduino health monitoring sensors cloud computing GSM/GPRS

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.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 8757-8764

Iot based health monitoring system using multi sensor

Available:https://ijirt.org/article?manuscript=178731

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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