• Medientyp: E-Artikel
  • Titel: Biological age estimation using an eHealth system based on wearable sensors
  • Beteiligte: Pierleoni, Paola; Belli, Alberto; Concetti, Roberto; Palma, Lorenzo; Pinti, Federica; Raggiunto, Sara; Sabbatini, Luisiana; Valenti, Simone; Monteriù, Andrea
  • Erschienen: Springer Science and Business Media LLC, 2021
  • Erschienen in: Journal of Ambient Intelligence and Humanized Computing
  • Umfang: 4449-4460
  • Sprache: Englisch
  • DOI: 10.1007/s12652-019-01593-8
  • ISSN: 1868-5137; 1868-5145
  • Schlagwörter: General Computer Science
  • Zusammenfassung: <jats:title>Abstract</jats:title><jats:p>The rapid worldwide aging makes necessary the development of advanced technologies for the objective identification of diseases and disabilities onset. Accordingly, we need to regard the biological age as an alternative and more reliable indicator of the physiological decline of individuals, respect to the simple chronological age. In this paper, we present an eHealth system for estimate the biological age of elderly people starting from the assessment of the frailty phenotype. The frailty phenotype evaluation is made possible using a standard protocol for data acquisition and a cloud application for processing and storing data. The proposed eHealth system is also equipped with wireless, small and non-invasive wearable sensors for an objective evaluation of the mobility of a subject. The eHealth system is tested on a reference population in order to have an amount of data necessary for defining a model to estimate the biological age. The use of the presented system on a reference population, and the availability of data regarding their mobility, allow the validation of the proposed model for the computation of the biological age via simple and objective frailty phenotype assessment.</jats:p>
  • Beschreibung: <jats:title>Abstract</jats:title><jats:p>The rapid worldwide aging makes necessary the development of advanced technologies for the objective identification of diseases and disabilities onset. Accordingly, we need to regard the biological age as an alternative and more reliable indicator of the physiological decline of individuals, respect to the simple chronological age. In this paper, we present an eHealth system for estimate the biological age of elderly people starting from the assessment of the frailty phenotype. The frailty phenotype evaluation is made possible using a standard protocol for data acquisition and a cloud application for processing and storing data. The proposed eHealth system is also equipped with wireless, small and non-invasive wearable sensors for an objective evaluation of the mobility of a subject. The eHealth system is tested on a reference population in order to have an amount of data necessary for defining a model to estimate the biological age. The use of the presented system on a reference population, and the availability of data regarding their mobility, allow the validation of the proposed model for the computation of the biological age via simple and objective frailty phenotype assessment.</jats:p>
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