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:
In summary, the results of the project will enable:
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