An Evolved eHealth Monitoring System for a Nuclear Medicine Department

The use of medical devices and wearable sensor-based systems to monitor patients' health conditions are continuously increasing both internally to hospitals and at home. In this paper we propose a system that is intended to monitor patients' physiological parameters to detect abnormal cardiac accelerations and patient falls in real-time. The core of this paper is the realization of a user-friendly and context-aware system that uses a rule-based Decision Support System to elaborate the captured sensors data. The paper also describes a case study where the system has revealed important benefits for both patients and medical staff.