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Front. Digit. Humanit. | doi: 10.3389/fdigh.2018.00006

Data-driven continuous assessment of frailty in older people

 Chiara Martini1,  Annalisa Barla1,  Francesca Odone1*,  Alessandro Verri1, Gian Andrea Rollandi2 and Alberto Pilotto2
  • 1DIBRIS, Università di Genova, Italy
  • 2Ente Ospedaliero Ospedali Galliera, Italy

The process of aging affects an individual's potential in several dimensions, encompassing the physical, cognitive, psychological, economic, and social domains. The assessment of frailty in elderly patients is key to estimate their overall well-being and to predict mortality risk. In the clinical practice, frailty is usually estimated through medical tests and questionnaires performed sporadically. Continuous automatic assessment may help physicians in evaluating frailty by complementing their assessments with quantitative and non sporadic measurements. In this paper we present the state-of-the-art in frailty evaluation, we summarize recent research achievements that could lead to an improved assessment, and we illustrate a case study we are conducting in our institution. Finally, based on our experience and results, we comment on the open challenges of automatic assessment of frailty.

Keywords: Frailty, smart environment, assistive technologies, continuous automatic assessment, Motility index, Computational vision

Received: 15 Dec 2017; Accepted: 08 Mar 2018.

Edited by:

Enrico Capobianco, University of Miami, United States

Reviewed by:

Juan J. Merelo, University of Granada, Spain
Gokarna Sharma, Kent State University, United States  

Copyright: © 2018 Martini, Barla, Odone, Verri, Rollandi and Pilotto. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Prof. Francesca Odone, ODONE., Università di Genova, DIBRIS, Via Dodecaneso, 35, Genova, Via Dodecaneso, 35, Genoa, 16146, Italy, Italy,