Partners: Generation Byte, Glance Vision Technologies, Università degli Studi di Trieste
Overall Funded Costs: 346.884,00 €
Project funded under Friuli Venezia Giulia POR FESR 2014-2020 Initiative
Project description:The project aims to create an integrated system of monitoring stations with real-time devices for the detection of medical and vital parameters in the care of Life-Critical patients. Through a process of implementation of neural networks and "Machine Learning" systems, we want to build a complex decision-making system - Closed Loop - able to make articulated decisions in response to the input received. The system under development aims to increase the number of variables to be taken into account in the decision-making phase, with the consequent need to rethink the whole way of implementing data in the decision-making structure, but with the advantage of providing a wider support to health assistants.