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dc.contributor.authorBoronat, Pablo
dc.contributor.authorPérez-Francisco, Miguel
dc.contributor.authorGascó Compte, Arturo
dc.contributor.authorPardo-Navarro, Miguel
dc.contributor.authorBelmonte-Fernández, Óscar
dc.date.accessioned2024-07-25T10:06:49Z
dc.date.available2024-07-25T10:06:49Z
dc.date.issued2024-07
dc.identifier.citationBoronat, P.; Pérez-Francisco, M.; Gascó-Compte, A.; Pardo-Navarro, M.; Belmonte-Fernández, O. GPS Suitability for Physical Frailty Assessment. Sensors 2024, 24, 4588. https://doi.org/10.3390/s24144588ca_CA
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10234/208349
dc.description.abstractThe ageing of the population needs the automation of patient monitoring. The objective of this is twofold: to improve care and reduce costs. Frailty, as a state of increased vulnerability resulting from several diseases, can be seen as a pandemic for older people. One of the most common detection tests is gait speed. This article compares the gait speed measured outdoors using smartphones with that measured using manual tests conducted in medical centres. In the experiments, the walking speed was measured over a straight path of 80 m. Additionally, the speed was measured over 2.4 m in the middle of the path, given that this is the minimum distance used in medical frailty tests. To eliminate external factors, the participants were healthy individuals, the weather was good, and the path was flat and free of obstacles. The results obtained are promising. The measurements taken with common smartphones over a straight path of 80 m are within the same order of error as those observed in the manual tests conducted by practitioners.ca_CA
dc.format.extent15 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherMDPIca_CA
dc.relation.isPartOfSensors 2024, vol. 24, núm. 14, (2024)ca_CA
dc.rightsCopyright: © 2024 by the authors. 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/).ca_CA
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/ca_CA
dc.subjectGPS monitoringca_CA
dc.subjectfrailty assessmentca_CA
dc.subjectgait speedca_CA
dc.subjectdaily monitoringca_CA
dc.titleGPS Suitability for Physical Frailty Assessmentca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doi10.3390/s24144588
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttps://www.mdpi.com/1424-8220/24/14/4588ca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA
project.funder.nameMinisterio de Ciencia, Innovación y Universidadesca_CA
project.funder.nameEuropean Union NextGeneration EU/PRTRca_CA
project.funder.nameFEDERca_CA
oaire.awardNumberTED2021-129866B-I00ca_CA
oaire.awardNumberMCIN/AEI/10.13039/501100011033ca_CA
oaire.awardNumberPID2021-122642OB-C44ca_CA
oaire.awardNumberMCIN/AEI/10.13039/ 501100011033ca_CA


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Copyright: © 2024 by the authors.
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/).
Excepto si se señala otra cosa, la licencia del ítem se describe como: Copyright: © 2024 by the authors. 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/).