Development of data analytics system of intelligent air bed for decreasing the bedsore symptom

Abstract

Bedsores also called pressure ulcers is the cause of high mortality as this disease occurs in people in every age and gender group. Bedsores is an important problem for patients who are unable to care for themselves. The objective of this study was to develop an information transmission system to analyze bedsore information based on sleeping postures in patients as classified by 9 organs: behind head, left shoulder, right shoulder, left elbow, right elbow, left buttock, right buttock, left heel, and right heel. The Internet of Things (IoT) technology was applied with Message Queuing Telemetry Transport Protocol (MQTT) to receive and send information from air bed to the relational database system. Data were analyzed by the decision tree method, a tool to support decision and analysis. The collapse and inflation of air bed surface was based on to reduce pressures and this function is similar to car tire inflating with standard measure, air pressure in pounds per square inch (PSI). The results were shown in graphical presentation and the message was presented on screen.