Development of IoT Framework for Monitoring Human Health Conditions

Health and technology have a close relationship in the current era of the industrial revolution 4.0, such as the existence of IoT technology. Medical device applications in the IoT sector also contribute to preventing the increased risk of chronic disease. In implementing the use of IoT tools in the health sector, the use of framework technology that can receive various kinds of data from IoT sensors in the health sector and real-time to facilitate monitoring of human health at this time is still not optimal and sometimes still not accurate. This study proposes an IoT web framework called EWARAS, which is built on the cloud and serves to simplify and accelerate the process of developing IoT tools for the healthcare sector. The services provided by EWARAS are divided into two parts, back-end services and front-end services. Back-end services function to receive, send, store, and process data, while front-end services function to retrieve and display the results to users. The basic types of features provided by EWARAS include real-time data monitoring using health sensors, health data analysis components, and history of medical examination results. Experiments were carried out to send 10 types of sensor data both from the CSV format dataset and from the MySignals Health sensor device and to get the health condition output from the sent sensor data. The experimental results show that the overall error percentage for each sensor is 0%, both for the CSV dataset and the MySignals sensor device data concludes that this test was successfully carried out relatively smoothly and can be received by the EWARAS web in real-time. For accuracy, when compared to health sensors commonly used in the medical world, it has an accuracy close to the same with the largest difference percentage of around 1.54% only from trials on 4 types of sensors.