From the technical perspective, METABO addresses different technical challenges.
Use and integration of available sensors and medical devices to collect body and health parameters, environmental and contextual data, behavioural responses to stress and life situations to identify and detect the effects on personal metabolic process.
Personalisation and adaptation of sensors and other equipment (cameras, electronic and mechanical components of cars, etc.) and of the underlying software to detect and record the necessary body and physical data.
Design and implementation of a technical platform arranged for interoperability and data transfer among different monitoring devices, based on shared semantics.
Design of algorithms for detection and analysis of facial expression, eye movements, body posture and movement characteristics for early prediction of hypoglycemic episodes.
Building of a scientific database of significant body and environmental parameters and its matching with existing knowledge and empirical expertise for the study of diabetes.
Design, evaluation and practical application to individual care process of models of personal metabolic response based on the collected monitoring parameters and personal health and genetic data.
The work leading results has received funding from the european Community's Seventh Framework under grant agreement n° FP7 - 216270