Fuzzy Logic Controlled an Autonomous Patient's Health Monitoring System through the Internet of Things

Properly taking care of us becomes difficult when there is a risk of spreading disease while receiving health care, and the health of many others is threatened by this type of pandemic situation. If a project is designed to avoid such a situation, it can perform the necessary steps for first aid without human contact, such as automatically sanitizing and checking the patient's oxygen saturation level, heart rate or temperature measurement and be able to provide this service to many people at a time without a man-to-man contact. To implement this prototype project, line-following the IR sensor and creating its movement step with fuzzy logic. BPM, SpO2, and temperature sensors are utilized to take data from the patient. All data is processed in NodeMCU, and it’s shown to a web server or app through the Internet of Things (IoT). With its autonomous management system, many service recipients will benefit from it at home or in the hospital. As a result, they can use IoT to monitor their current health state and condition. All the data is stored on the server, allowing any decision-making to play an effective role as the patient's history is known even during the next treatment. However, this reduces the chance of disease spreading and allows many patients to complete the steps before receiving their demanding services.