Engineering Continuous Monitoring of Intrinsic Capacity for Elderly People

Valerio Bellandi, Ioannis Basdekis, Paolo Ceravolo, Matteo Cesari, Ernesto Damiani, Eleftheria Iliadou, Mircea Dan Marzan, Samira Maghool

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

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.

Original languageBritish English
Title of host publicationProceedings - 2021 IEEE International Conference on Digital Health, ICDH 2021
EditorsSheikh Iqbal Ahamed, Nimanthi Atukorala, Carl K. Chang, Ernesto Damiani, Giuseppe De Pietro, Lin Liu, Zhongjie Wang, Jia Zhang, Farhana Zulkernine
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages166-171
Number of pages6
ISBN (Electronic)9781665416856
DOIs
StatePublished - Sep 2021
Event2021 IEEE International Conference on Digital Health, ICDH 2021 - Virtual, Online, United States
Duration: 5 Sep 202111 Sep 2021

Publication series

NameProceedings - 2021 IEEE International Conference on Digital Health, ICDH 2021

Conference

Conference2021 IEEE International Conference on Digital Health, ICDH 2021
Country/TerritoryUnited States
CityVirtual, Online
Period5/09/2111/09/21

Keywords

  • Big Data
  • Intrinsic Capacity
  • IoT

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