Continuous monitoring of the wellbeing state of elderly people is about to become an urgent need in the early future due to population aging. Aiming a unified notion of well-being, we find the Intrinsic Capacity concept in accordance with the SMART BEAR project goals. In this study we mainly focus on the enabling infrastructure, mapping our models to interoperable repositories and to streaming/computing components that can foster monitoring. Our method is also innovative for explicitly combining personalization and risk levels in generating the Intrinsic Capacity score. Leveraging on synthetic data, we represent the outcome trajectories of some sample patients for one-year continuous monitoring and discuss approaches to characterize them based on the exhibited tendency.

Engineering Continuous Monitoring of Intrinsic Capacity for Elderly People / V. Bellandi, I. Basdekis Basdekis, P. Ceravolo, M. Cesari, E. Damiani, E. Iliadou, M. Dan Marzan, S. Maghool - In: 2021 IEEE International Conference on Digital Health (ICDH)[s.l] : IEEE, 2021. - ISBN 978-1-6654-1685-6. - pp. 166-171 (( convegno International Conference on Digital Health tenutosi a Chicago nel 2021 [10.1109/ICDH52753.2021.00030].

Engineering Continuous Monitoring of Intrinsic Capacity for Elderly People

V. Bellandi;P. Ceravolo
;
M. Cesari;E. Damiani;S. Maghool
2021

Abstract

Continuous monitoring of the wellbeing state of elderly people is about to become an urgent need in the early future due to population aging. Aiming a unified notion of well-being, we find the Intrinsic Capacity concept in accordance with the SMART BEAR project goals. In this study we mainly focus on the enabling infrastructure, mapping our models to interoperable repositories and to streaming/computing components that can foster monitoring. Our method is also innovative for explicitly combining personalization and risk levels in generating the Intrinsic Capacity score. Leveraging on synthetic data, we represent the outcome trajectories of some sample patients for one-year continuous monitoring and discuss approaches to characterize them based on the exhibited tendency.
Settore INF/01 - Informatica
2021
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/871801
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