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"Hi This Is NESTORE, Your Personal Assistant": Design of an Integrated IoT System for a Personalized Coach for Healthy Aging.
- Source :
-
Frontiers in digital health [Front Digit Health] 2020 Oct 14; Vol. 2, pp. 545949. Date of Electronic Publication: 2020 Oct 14 (Print Publication: 2020). - Publication Year :
- 2020
-
Abstract
- In the context of the fourth revolution in healthcare technologies, leveraging monitoring and personalization across different domains becomes a key factor for providing useful services to maintain and promote well-being. This is even more crucial for older people, with aging being a complex multi-dimensional and multi-factorial process which can lead to frailty. The NESTORE project was recently funded by the EU Commission with the aim of supporting healthy older people to sustain their well-being and capacity to live independently. It is based on a multi-dimensional model of the healthy aging process that covers physical activity, nutrition, cognition, and social activity. NESTORE is based on the paradigm of the human-in-the-loop cyber-physical system that, exploiting the availability of Internet of Things technologies combined with analytics in the cloud, provides a virtual coaching system to support healthy aging. This work describes the design of the NESTORE methodology and its IoT architecture. We first model the end-user under several domains, then we present the NESTORE system that, analyzing relevant key-markers, provides coaching activities and personalized feedback to the user. Finally, we describe the validation strategy to assess the effectiveness of NESTORE as a coaching platform for healthy aging.<br /> (Copyright © 2020 Palumbo, Crivello, Furfari, Girolami, Mastropietro, Manferdelli, Röcke, Guye, Salvá Casanovas, Caon, Carrino, Abou Khaled, Mugellini, Denna, Mauri, Ward, Subías-Beltrán, Orte, Candea, Candea and Rizzo.)
Details
- Language :
- English
- ISSN :
- 2673-253X
- Volume :
- 2
- Database :
- MEDLINE
- Journal :
- Frontiers in digital health
- Publication Type :
- Academic Journal
- Accession number :
- 34713033
- Full Text :
- https://doi.org/10.3389/fdgth.2020.545949