Need
Remote patient monitoring (RPM) is an increasing relevant topic in healthcare: an efficient and reliable RPM system would allow to reduce deaths (by providing timely alerts), costs, burden on the medical staff, cross-infection . 
The MARCHESE technology, if successful, would blend contactless monitoring with robotics and AI, providing unique features for an innovative RPM system.

Project goals
This proposal builds on the first MA-funded MARCHESE project (Machine Learning-based Human Recognition and Health Monitoring System), which initiated the development of a contactless and non-invasive approach to continuously monitor patients’ overall health state.
In recent years, KT and the BE-CEM-MRO section have engaged in valuable discussions with medical professionals, including doctors and staff, from the Hospital of Geneva (HUG) and the University Hospital of Lille (CHU Lille). These exchanges have allowed to better comprehend the challenges and needs within the hospital environment and to start developing the crucial features of a contactless and non-invasive monitoring system for a comprehensive assessment of a patient's health state and behaviour.
The objective of this proposal is to customise the system to align with and meet the constraints and needs of doctors and of the hospital environment, then subject it to a rigorous validation phase coming to the development of the pre-production prototype.