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Unobtrusive Sensors for the Assessment of Older Adult’s Frailty: A Scoping Review

Ubiquity (devices becoming part of the context) and transparency (devices not interfering with daily activities) are very significant in healthcare monitoring applications for elders. The present study undertakes a scoping review to map the literature on sensor-based unobtrusive monitoring of older...

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Autores principales: Cobo, Antonio, Villalba-Mora, Elena, Pérez-Rodríguez, Rodrigo, Ferre, Xavier, Rodríguez-Mañas, Leocadio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123069/
https://www.ncbi.nlm.nih.gov/pubmed/33922852
http://dx.doi.org/10.3390/s21092983
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author Cobo, Antonio
Villalba-Mora, Elena
Pérez-Rodríguez, Rodrigo
Ferre, Xavier
Rodríguez-Mañas, Leocadio
author_facet Cobo, Antonio
Villalba-Mora, Elena
Pérez-Rodríguez, Rodrigo
Ferre, Xavier
Rodríguez-Mañas, Leocadio
author_sort Cobo, Antonio
collection PubMed
description Ubiquity (devices becoming part of the context) and transparency (devices not interfering with daily activities) are very significant in healthcare monitoring applications for elders. The present study undertakes a scoping review to map the literature on sensor-based unobtrusive monitoring of older adults’ frailty. We aim to determine what types of devices comply with unobtrusiveness requirements, which frailty markers have been unobtrusively assessed, which unsupervised devices have been tested, the relationships between sensor outcomes and frailty markers, and which devices can assess multiple markers. SCOPUS, PUBMED, and Web of Science were used to identify papers published 2010–2020. We selected 67 documents involving non-hospitalized older adults (65+ y.o.) and assessing frailty level or some specific frailty-marker with some sensor. Among the nine types of body worn sensors, only inertial measurement units (IMUs) on the waist and wrist-worn sensors comply with ubiquity. The former can transparently assess all variables but weight loss. Wrist-worn devices have not been tested in unsupervised conditions. Unsupervised presence detectors can predict frailty, slowness, performance, and physical activity. Waist IMUs and presence detectors are the most promising candidates for unobtrusive and unsupervised monitoring of frailty. Further research is necessary to give specific predictions of frailty level with unsupervised waist IMUs.
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spelling pubmed-81230692021-05-16 Unobtrusive Sensors for the Assessment of Older Adult’s Frailty: A Scoping Review Cobo, Antonio Villalba-Mora, Elena Pérez-Rodríguez, Rodrigo Ferre, Xavier Rodríguez-Mañas, Leocadio Sensors (Basel) Review Ubiquity (devices becoming part of the context) and transparency (devices not interfering with daily activities) are very significant in healthcare monitoring applications for elders. The present study undertakes a scoping review to map the literature on sensor-based unobtrusive monitoring of older adults’ frailty. We aim to determine what types of devices comply with unobtrusiveness requirements, which frailty markers have been unobtrusively assessed, which unsupervised devices have been tested, the relationships between sensor outcomes and frailty markers, and which devices can assess multiple markers. SCOPUS, PUBMED, and Web of Science were used to identify papers published 2010–2020. We selected 67 documents involving non-hospitalized older adults (65+ y.o.) and assessing frailty level or some specific frailty-marker with some sensor. Among the nine types of body worn sensors, only inertial measurement units (IMUs) on the waist and wrist-worn sensors comply with ubiquity. The former can transparently assess all variables but weight loss. Wrist-worn devices have not been tested in unsupervised conditions. Unsupervised presence detectors can predict frailty, slowness, performance, and physical activity. Waist IMUs and presence detectors are the most promising candidates for unobtrusive and unsupervised monitoring of frailty. Further research is necessary to give specific predictions of frailty level with unsupervised waist IMUs. MDPI 2021-04-23 /pmc/articles/PMC8123069/ /pubmed/33922852 http://dx.doi.org/10.3390/s21092983 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Cobo, Antonio
Villalba-Mora, Elena
Pérez-Rodríguez, Rodrigo
Ferre, Xavier
Rodríguez-Mañas, Leocadio
Unobtrusive Sensors for the Assessment of Older Adult’s Frailty: A Scoping Review
title Unobtrusive Sensors for the Assessment of Older Adult’s Frailty: A Scoping Review
title_full Unobtrusive Sensors for the Assessment of Older Adult’s Frailty: A Scoping Review
title_fullStr Unobtrusive Sensors for the Assessment of Older Adult’s Frailty: A Scoping Review
title_full_unstemmed Unobtrusive Sensors for the Assessment of Older Adult’s Frailty: A Scoping Review
title_short Unobtrusive Sensors for the Assessment of Older Adult’s Frailty: A Scoping Review
title_sort unobtrusive sensors for the assessment of older adult’s frailty: a scoping review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123069/
https://www.ncbi.nlm.nih.gov/pubmed/33922852
http://dx.doi.org/10.3390/s21092983
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