ChAALenge: an ambient assisted living project to promote an active and health ageing
Barsocchi P., Belli D., Gabrielli E., La Rosa D., Miori V., Palumbo F., Russo D., Tolomei G.
Ambient Assisted Living Health monitoring system Health ageing Anomaly detection
The rapid growth of older population in the next years will lead to the rapid growth in the demand of health care, resulting in an increasing difficulty in managing hospitalizations and in a prohibitive grow of costs for medical care. In this context, chronic heart failure emerges as one of the most difficult problems to be treated, especially in advanced age, and a major cause of hospitalization and death. The Project ChAALenge aims at facing the problem by proposing a proactive approach based on pervasive monitoring and artificial intelligence. The goal is to promptly stepping, before the pathology onset, with effective suggestions ranging from the request of medical examination to the adjustment of lifestyle. The current paper presents the mid-term results of the ongoing project, introducing the sensors, the middleware and the candidate artificial intelligence techniques constituting the predictive system of the older adults' health status.
Source: AIxIA 2022 - 21st International Conference of the Italian Association for Artificial Intelligence, pp. 42–58, Udine, Italy, 28/11/2022, 02/12/2022
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@inproceedings{oai:it.cnr:prodotti:481715,
title = {ChAALenge: an ambient assisted living project to promote an active and health ageing},
author = {Barsocchi P. and Belli D. and Gabrielli E. and La Rosa D. and Miori V. and Palumbo F. and Russo D. and Tolomei G.},
booktitle = {AIxIA 2022 - 21st International Conference of the Italian Association for Artificial Intelligence, pp. 42–58, Udine, Italy, 28/11/2022, 02/12/2022},
year = {2022}
}
0000-0002-6862-7593