Development of Real-Time Cloud Based Smart Remote Healthcare Monitoring System

Abstract

This article investigates user’s health data and location in real-time on the Thingsboard visualization platform. The Internet of medical Things (IoMT) is the focus of the next age of healthcare, based on preventative and predictive analytics. The most impacting sectors of interest in healthcare, behavioral, ambient, and physiological domains, must be monitored on a big scale and in a broad sense. Wearables serve an essential role in data collecting and measurement in customized healthcare monitoring. We want to build a platform that can be customized and adapted to track a wide range of metrics in a comfortable way. However, by incorporating the Internet of things into the health monitoring system, the procedures of health monitoring may be automated, saving the patient valuable time. Furthermore, the cloud, which revolutionized data storage, contributes in the development of a better and more dependable health monitoring system. Real-time storage and visualization of health data is possible. A NodeMCU is utilized as a gateway to gather the user’s health data, and a Raspberry Pi 4 Model broker is used as the central processing unit to analyze all of the data collected in this project. The broker receives and processes health data from the gateway. Using the Google geolocation service, the system is able to monitor the user’s position. The user’s health data and location are shown in real-time on the Thingsboard visualization platform. On the suggested system, many experiments and tests, such as accuracy testing and error analysis, were undertaken, with positive results.