A Fuzzy Expert System for Infection Screening Based on Vital Signs and Activity Data

Abstract

Technology has enabled the development of miniature wearable biomedical devices for ubiquitous patient monitoring. In this context, it is straightforward to monitor a series of vital signs, enabling self-assessment of the health condition. This work presents a physiological parameter monitoring setup built with low-cost wearable health monitors for the tracking of user activity, body temperature, heart rate and blood oxygen. A fuzzy expert system evaluates the individual's risk of infection by correlating the vital signs to activity intensity. This constitutes the novelty of this paper. Simulation results performed with the recorded physiological data validate the proposed solution.