IoT Framework Development for Health Conditions Monitoring

Abstract

Chronic disease is one of the most common causes of death in the world, including in Indonesia, where disease managements is still lacking when compared to the increasing prevalence of chronic diseases. Applications of medical devices in the Internet of Things (IoT) sector also participates in preventing an increased risk of chronic disease. IoT includes smart objects or devices that combine sensors with network technology, cloud computing, and data. In implementing the use of IoT tools in the health sector, there are already many types of tools provided by various agencies, but from the tool developer side, there is no specific framework that developers can use to develop IoT applications for the health sector. This research proposes an IoT framework for developing IoT applications called EWARAS. EWARAS is an IoT framework that works in the cloud and serves to simplify and speed up the process of developing IoT tools for the health sector. The services provided by EWARAS are divided into two parts, namely back-end services and front-end services. The back-end service functions to receive, send, store, and process data, while the front-end service functions to retrieve and display the results to users. The basic types of features provided by the code base of EWARAS include real-time data monitoring, frequency of health check sessions, Python-based health data analysis components, and history of health check sessions. There are two experiments carried out in the data analysis section of this study, namely the experiment of sending data from the sensor and performing calculations or getting the health condition output from the dataset. The test results prove that real-time data transmission and data analysis done smoothly using the python spawn process from the JavaScript code side.