An AAL Project

The project focuses on developing useful and realistic services that reduce the need for hospital admissions and institutional care, and encourages early discharge. 


All sensors integrated in a holter or smart t-shirt, enabling for frequent and autonomous measuring. It uses sensing devices and communication technologies to measure several clinical variables of CHF patients considered essential by expert cardiologists, such as physical activity levels, weight, blood pressure, pulmonary congestion, heart rate and rhythm, and therapeutic compliance. Thanks to autonomous measurements, therapy adherence is high so to adequately monitor the health status of the patients.


Data analyzing and coaching app for smartphones, linked to the telemonitoring kit. It is a user-friendly, integrated mobile solution to leverage patient self care. Since manyolder adults do not recognize the value of self care and daily health monitoring,SmartBEAT will also motivate the user through integrated condition validation, tailoredinterfaces and health status questionnaires.



Communication tools. A system intelligence component will be developed to support communication between patients, formal and informal caregivers. It enables patients and their caregivers to define their interests and receive valuable information from different sources.



Is a web application serving as the front-end for the formal and informal caregivers, each with different access permissions. It will be tightly integrated with the SUPPORT APPLICATIONS and will enable the caregivers to access the patient's medical data, such as vital signs. The portal will also provide a personalized news feed to the care givers, which will highlight important events, such as the changes in the patients’ vital signs and alerts raised due to classifications. In addition the news feed will integrate the semantic search engine of the MIU to provide recommendations about the last research and scientific initiatives. The Portal will allow the caregivers to personalize the recommendation by subscribing to semantic topics of personal interest