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ChAALenge: an ambient assisted living project to promote an active and health ageing

Conference Paper
Publication Date:
2022
abstract:
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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Ambient Assisted Living; Health monitoring system; Health ageing; Anomaly detection
List of contributors:
Belli, Dimitri; Barsocchi, Paolo; Miori, Vittorio; Palumbo, Filippo; LA ROSA, Davide; Russo, Dario
Authors of the University:
BARSOCCHI PAOLO
BELLI DIMITRI
LA ROSA DAVIDE
PALUMBO FILIPPO
RUSSO DARIO
Handle:
https://iris.cnr.it/handle/20.500.14243/460074
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/460074/133560/prod_481715-doc_198122.pdf
Book title:
AIxAS 2022: Artificial Intelligence for an Ageing Society
Published in:
CEUR WORKSHOP PROCEEDINGS
Series
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URL

https://ceur-ws.org/Vol-3367/
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