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Mobile computing technologies for health and mobility assessment: research design and results of the ttmed up and go test in older adults

2020Journal article Open access
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dc.contributor.authorPonciano, Vasco Rafael Gaspar
dc.contributor.authorPires, Ivan M.
dc.contributor.authorRibeiro, Fernando Reinaldo
dc.contributor.authorVillasana, María Vanessa
dc.contributor.authorCrisóstomo, Rute
dc.contributor.authorTeixeira, M.C.C.
dc.contributor.authorZdravevski, Eftim
dc.date.accessioned2020-07-07T09:25:20Z
dc.date.available2020-07-07T09:25:20Z
dc.date.issued2020
dc.description.abstractDue to the increasing age of the European population, there is a growing interest in performing research that will aid in the timely and unobtrusive detection of emerging diseases. For such tasks, mobile devices have several sensors, facilitating the acquisition of diverse data. This study focuses on the analysis of the data collected from the mobile devices sensors and a pressure sensor connected to a Bitalino device for the measurement of the Timed-Up and Go test. The data acquisition was performed within different environments from multiple individuals with distinct types of diseases. Then this data was analyzed to estimate the various parameters of the Timed-Up and Go test. Firstly, the pressure sensor is used to extract the reaction and total test time. Secondly, the magnetometer sensors are used to identify the total test time and different parameters related to turning around. Finally, the accelerometer sensor is used to extract the reaction time, total test time, duration of turning around, going time, return time, and many other derived metrics. Our experiments showed that these parameters could be automatically and reliably detected with a mobile device. Moreover, we identified that the time to perform the Timed-Up and Go test increases with age and the presence of diseases related to locomotion.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPONCIANO, Vasco [et al.] (2020) - Mobile computing technologies for health and mobility assessment: research design and results of the ttmed up and go test in older adults. Sensors. ISSN 1424-8220. Vol. 20, nº 12, p. 3481. DOI https://www.mdpi.com/1424-8220/20/12/3481pt_PT
dc.identifier.doi10.3390/s20123481pt_PT
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10400.11/7180
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationUIDB/EEA/50008/2020pt_PT
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/20/12/3481pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectTimed-up and go testpt_PT
dc.subjectSensorspt_PT
dc.subjectMobile devicespt_PT
dc.subjectAccelerometerpt_PT
dc.subjectMagnetometerpt_PT
dc.subjectPressure sensorpt_PT
dc.subjectFeature detectionpt_PT
dc.subjectDiseasespt_PT
dc.subjectOlder adultspt_PT
dc.titleMobile computing technologies for health and mobility assessment: research design and results of the ttmed up and go test in older adultspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue12pt_PT
oaire.citation.startPage3481pt_PT
oaire.citation.titleSensorspt_PT
oaire.citation.volume20pt_PT
person.familyNameSerrano Pires
person.familyNameReinaldo Silva Garcia Ribeiro
person.familyNameCrisóstomo
person.familyNameCanavarro Teixeira
person.givenNameIvan Miguel
person.givenNameFernando
person.givenNameRute
person.givenNameMaria Cristina
person.identifier.ciencia-id211D-8B3D-0131
person.identifier.ciencia-id7B1C-D761-291D
person.identifier.ciencia-id9117-83AB-1D27
person.identifier.ciencia-id0913-BC21-F66E
person.identifier.orcid0000-0002-3394-6762
person.identifier.orcid0000-0002-1225-3844
person.identifier.orcid0000-0002-3009-0612
person.identifier.orcid0000-0002-8534-9484
person.identifier.ridN-5480-2016
person.identifier.scopus-author-id56299475100
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication53c92dfa-27be-4305-9b32-f3cf2e36a4f1
relation.isAuthorOfPublication165761b1-f958-4c13-b53f-ef0a4dde1d97
relation.isAuthorOfPublication641886bb-b500-48de-81d5-3d0674f8182a
relation.isAuthorOfPublication5c53ae6c-7865-4ef1-adea-ea2fa221aee4
relation.isAuthorOfPublication.latestForDiscovery53c92dfa-27be-4305-9b32-f3cf2e36a4f1

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