IoT-driven remote health monitoring system with sensor fusion enhancing immediate medical assistance in distributed settings
Ambarish G. Mohapatra, Anita Mohanty, Sasmita Nayak, Hanan Abdullah Menfash, Hamed Alqahtani, Ali M. Al-Sharaei, Randa Allaf, Faisal Mohammed Nafie
Abstract
The increasing prevalence of chronic diseases and the demand for real-time health monitoring have propelled the development of noninvasive Clinical Support Systems (CSS) using Internet of Things (IoT)-driven remote Health Monitoring Systems (HMS). This paper presents an IoT-based HMS designed to provide immediate medical assistance, particularly beneficial for monitoring patients in remote or rural areas with limited access to healthcare facilities . The proposed system integrates wearable sensors , data analytics , and cloud computing to continuously monitor patients' vital signs, like body temperature, heartbeat, room temperature, and humidity. The collected data is transmitted in real-time to a centralized cloud platform, where advanced analytics detect anomalies and trigger alerts for healthcare providers . Sensor fusion technology is employed to combine data from multiple sensors, enhancing the accuracy and reliability of health monitoring across distributed locations. The system's architecture ensures secure and efficient data handling, maintaining patient privacy while facilitating timely medical interventions. Experimental results demonstrate the system's efficacy in promptly identifying critical health events and enabling rapid response, thereby improving patient outcomes, and reducing the burden on healthcare facilities. This IoT-driven HMS represents a significant advancement in telemedicine with an accuracy of 91.68 % and offers a scalable and reliable solution for continuous health monitoring and immediate medical assistance. A Proof of Concept (POC) of the IoT-based HMS is developed and tested to display real-world applications in healthcare facilities. The proposed system can also be integrated with a Decision Support System (DSS) to generate adequate medical reports for future use.