Life expectancy in recent years has sensibly increased and age related problems in elderly people have followed a similar trend. Being able to find innovative solutions to enable senior population to maintain their quality of life despite the presence of chronic illnesses has become crucial for high quality ageing. The opportunities offered by the technological advancement with remote assistance applications, wearable devices, and Artificial-Intelligence-Of-Things (AIoT) architectures are of paramount importance to improve the services in healthcare facilities by adding the power of Artificial Intelligence to Internet-Of-Things devices. An experimental framework has been deployed to two residential homes in collaboration with two italian companies to collect and analyze data in order to actively monitor the vital signs of their guests, predict critical situations and identify significant clusters or communities.
Remote Healthcare System Based on AIoT / A. Cabri, S. Rovetta, F. Masulli, S. Akshi, G. Meo Pier, M. Magliulo (LECTURE NOTES IN ELECTRICAL ENGINEERING). - In: Applications in Electronics Pervading Industry, Environment and Society : APPLEPIES 2023 / [a cura di] F. Bellotti, M.D. Grammatikakis, A. Mansour, M.R. Roch, R. Seepold, A. Solanas, R. Berta. - [s.l] : Springer, 2024. - ISBN 9783031481208. - pp. 215-221 (( convegno International Conference on Applications in Electronics Pervading Industry, Environment and Society, APPLEPIES 2023 tenutosi a Genova nel 2023 [10.1007/978-3-031-48121-5_30].
Remote Healthcare System Based on AIoT
A. Cabri
Primo
;
2024
Abstract
Life expectancy in recent years has sensibly increased and age related problems in elderly people have followed a similar trend. Being able to find innovative solutions to enable senior population to maintain their quality of life despite the presence of chronic illnesses has become crucial for high quality ageing. The opportunities offered by the technological advancement with remote assistance applications, wearable devices, and Artificial-Intelligence-Of-Things (AIoT) architectures are of paramount importance to improve the services in healthcare facilities by adding the power of Artificial Intelligence to Internet-Of-Things devices. An experimental framework has been deployed to two residential homes in collaboration with two italian companies to collect and analyze data in order to actively monitor the vital signs of their guests, predict critical situations and identify significant clusters or communities.| File | Dimensione | Formato | |
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