CAREUP: An Integrated Care Platform with Intrinsic Capacity Monitoring and Prediction Capabilities

This paper describes CAREUP, a novel older adult healthy aging support platform based on Intrinsic Capacity (IC) monitoring. Besides standard functionalities like storing health measurement data or providing users with personalized recommendations, the platform includes novel intrinsic capacity assessment and prediction algorithms. Older adults' performance is continuously monitored in all five IC domains-locomotion, psychology, cognition, vitality, and sensory capacity-based on measurement results and answers to questionnaires gathered using the platform's mobile applications. The users are also presented with a machine learning-based prediction of how their intrinsic capacity might change over the following years. The platform's operation was successfully tested with the participation of older adults and their caregivers in three countries: Austria, Italy, and Romania.

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Publication Details

Journal
Sensors
Published
2025-02-03
DOI
https://doi.org/10.3390/s25030916
Citations
5
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
Field-Weighted Citation Impact
6.38

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CAREUP: An Integrated Care Platform with Intrinsic Capacity Monitoring and Prediction Capabilities

Oana Cramariuc, Seif Ben Bader, Giacomo Cucchieri, Magdalena Velciu et al.
5 citations
Sensors
Context-Aware Activity Recognition Systems
6.38
article

CAREUP: An Integrated Care Platform with Intrinsic Capacity Monitoring and Prediction Capabilities

Oana Cramariuc, Seif Ben Bader, Giacomo Cucchieri, Magdalena Velciu, Jerzy Kołakowski, Vitomir Djaja-Jośko, Jaouhar Ayadi, Irina Mocanu, Angelo Consoli, Marcin Kołakowski, Luca Gilardi, Vera Stara, Eva Reithner, Lionello Ferrazzini, Barbara Borgogni, Sara Leonzi, Jacek Cichocki, Sofia Rivaira, Andrea Lupica
article en
5 citations

Abstract

This paper describes CAREUP, a novel older adult healthy aging support platform based on Intrinsic Capacity (IC) monitoring. Besides standard functionalities like storing health measurement data or providing users with personalized recommendations, the platform includes novel intrinsic capacity assessment and prediction algorithms. Older adults' performance is continuously monitored in all five IC domains-locomotion, psychology, cognition, vitality, and sensory capacity-based on measurement results and answers to questionnaires gathered using the platform's mobile applications. The users are also presented with a machine learning-based prediction of how their intrinsic capacity might change over the following years. The platform's operation was successfully tested with the participation of older adults and their caregivers in three countries: Austria, Italy, and Romania.

SensorsVol. 25(3)
Warsaw University of Technology (PL), Eclexys (Switzerland) (CH), Istituto Nazionale di Riposo e Cura per Anziani (IT), Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
Ministerul Cercetării, Inovării şi Digitalizării, Narodowe Centrum Badań i Rozwoju, National Institute on Aging, Active and Assisted Living programme
Openalex Percentile: Top 4%
Context-Aware Activity Recognition Systems
6.38
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