A multi-agent system using fuzzy logic applied to ehealth

Abstract

As time is passing by, life quality is becoming one of the most concerns for people who are getting old. According to studies involving countries in Europe, older people tend to live alone or, at most, with one other person. The technology currently available considering health products helps those people to achieve their goals. Taking that into account, this article proposes a multi-agent system architecture that uses IoT devices to catch patients’ heart signals and, using fuzzy logic process, estimates the level of hypertension, considering systolic pressure, diastolic pressure, age and body mass index. We used information of 768 patients obtained from a public database and evaluate the performance of the presented fuzzy logic model. The results of such fuzzy logic were compared with an evaluation made by accredited nurses, reaching a 94.40% of accuracy in the diagnosis.