IoT-Enabled Smart Health Monitoring System for Real-Time Remote Diagnosis and Patient Care

Abstract

The advancement of Internet of Things (IoT) technologies has enabled the development of intelligent health monitoring systems capable of real-time patient observation and data-driven medical decision-making. This paper presents the design and implementation of an IoT-based Smart Health Monitoring System that continuously tracks vital physiological parameters including heart rate, oxygen saturation (SpO₂), body temperature, and blood pressure. The system integrates wearable sensors, microcontrollers, and a cloud-based analytics platform to ensure seamless data acquisition, transmission, and analysis. Experimental evaluation was conducted on 25 participants, with sensor data stored and processed in the cloud for automated health assessment. The results demonstrate an average data transmission latency of 1.4 seconds, system reliability of 97.3%, and alert precision of 96%, validating the effectiveness of the proposed design for near-real-time monitoring. Graphical analysis confirmed physiological correlations, such as the inverse relation between SpO₂ and heart rate and minor reliability drops at elevated body temperatures. The findings indicate that the developed IoT-based system provides accurate, low-latency, and scalable health monitoring suitable for remote patient care and early intervention applications.