Real-time Health Status Monitoring System based on a Fuzzy Agent Model

This paper presents an Intelligent System which facilitates real-time remote patient's health status monitoring based on the Intelligent Agents and Fuzzy Logic approach. While using the proposed system, patients can stay in the comfort of their own homes and perform daily living activities, while the system "silently monitors" his/her health condition, detects irregularities, and alerts medical personnel in case of emergency situations. The Fuzzy Decision Agent uses the Fuzzy Inference System (FIS) developed for this specific case in order to classify the patient's health status based on the fusion of physiological measurements collected from the patient's body. Using the warning score system for each monitored vital sign, this agent recognized abnormal situations, and access external services in order to alert physicians or emergency services if major changes occur in the patient's health condition. The results of the patient's health status classification were examined and compared by two experts.