Proposal and Development of Simulation Models concerning the Supervision and Control of Patients at the hospital based on Digital Twin technology

Abstract

This work aims to develop a digital twin-based system for patient control and supervision. The control and the supervision of patients is conducted by collecting vital signs from sensors implanted on hospital beds and patients. The proposed system offers also a real-time monitoring of patients enhanced with prediction and analytic services based on artificial intelligence API, which we design relying on the historical health data of patients. These services are provided, for medical staff, through a convivial user interface. The implementation relies on using the Eclipse Ditto tool for the creation and management of the digital twin and Node-RED tool for simulation purposes. So, simulation models are proposed for representing patients vital signs