FrailSafe: An ICT Platform for Unobtrusive Sensing of Multi-Domain Frailty for Personalized Interventions

The implications of frailty in older adults' health status and autonomy necessitates the understanding and effective management of this widespread condition as a priority for modern societies. Despite its importance, we still stand far from early detection, effective management and prevention o...

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Bibliographic Details
Published in:IEEE journal of biomedical and health informatics 2020-06, Vol.24 (6), p.1557-1568
Main Authors: Zacharaki, Evangelia I., Deltouzos, Konstantinos, Kalogiannis, Spyridon, Kalamaras, Ilias, Bianconi, Luca, Degano, Cristiana, Orselli, Roberto, Montesa, Javier, Moustakas, Konstantinos, Votis, Konstantinos, Tzovaras, Dimitrios, Megalooikonomou, Vasileios
Format: Article
Language:English
Subjects:
Accelerometry
Accidental Falls
Aged
ageing population
Autonomy
Biomarkers
Biomedical monitoring
Computer architecture
Computer Communication Networks
Data analysis
Data storage
Decision analysis
decision support system
Decision Support Techniques
Frail Elderly
Frailty
Frailty - diagnosis
Health monitoring system
Home Care Services
Humans
Management
Medical services
Monitoring
Monitoring instruments
Monitoring, Ambulatory - methods
Older people
Prevention
Public health
Security
sensing devices
Sensor systems
Signal Processing, Computer-Assisted
virtual patient model
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Summary:The implications of frailty in older adults' health status and autonomy necessitates the understanding and effective management of this widespread condition as a priority for modern societies. Despite its importance, we still stand far from early detection, effective management and prevention of frailty. One of the most important reasons for this is the lack of sensitive instruments able to early identify frailty and pre-frailty conditions. The FrailSafe system provides a novel approach to this complex, medical, social and public health problem. It aspires to identify the most important components of frailty, construct cumulative metrics serving as biomarkers, and apply this knowledge and expertise for self-management and prevention. This paper presents a high-level overview of the FrailSafe system architecture providing details on the monitoring sensors and devices, the software front-ends for the interaction of the users with the system, as well as the back-end part including the data analysis and decision support modules. Data storage, remote processing and security issues are also discussed. The evaluation of the system by older individuals from 3 different countries highlighted the potential of frailty prediction strategies based on information and communication technology (ICT).
ISSN:2168-2194
2168-2208
DOI:10.1109/JBHI.2020.2986918