The technical innovation of the system lies in the use of machine learning techniques integrated with symbolic reasoning, which, applied to real-time raw sensor data, allows for the recognition of a wide range of human activities and the recognition of clinical predictors of potential risks.

The clinical innovation lies in the ability to support early diagnosis, perform remote monitoring , follow-up and decision support .

The market innovation of the proposed system, compared to products currently available, is the ability to acquire data about multiple physiological parameters and patient's activity, to correlate those data with the patient's clinical history, in order to support the early detection of mild cognitive impairment symptoms.

SECURE enables the development of applications with a high degree of functional innovation. For instance, considering fragile patients with cognitive deficits and/or chronic heart failure, it is possible to enable the following functions:
  • Monitoring of daily activities: through the use of sensors connected to objects and appliances, as well as of sensors worn by the patient, the intelligent system is able to recognize daily activities such as those related to the preparation and consumption of meals and intake of medications. Situations where the patient is not doing his/her daily activities (e.g., not consuming one or more meals ) may be notified to the service center.
  • Monitoring of vital signs through the use of body-worn sensors that record various parameters such as the ECG trace, blood pressure, pulse oximetry, skin impedance, body weight, in order to recognize early clinical impairment.
The monitored data are processed in real time by the intelligent system to assess the evolution of various vital parameters and physical and cognitive ability of the patient, in order to recognize any problems in advance and support real-time decision support.

In summary, the results of the project will enable:
  • Optimizing clinical processes of home telemonitoring;
  • Increasing the technical quality of service monitoring and the level of alert estimate;
  • Reducing the cost of the typical management services through a less involvement of health professionals;
  • Reducing costs related to the acquisition of mobile devices deployed at the patient's home, through the adoption of today's smartphones.