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Validation of a Single RGB-D Camera for Gait Assessment of Polyneuropathy Patients

2019-11-12Journal article Open access
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dc.contributor.authorVilas-Boas, Maria Do Carmo
dc.contributor.authorRocha, Ana
dc.contributor.authorChoupina, Hugo
dc.contributor.authorCardoso, Márcio Neves
dc.contributor.authorFernandes, Jose Maria
dc.contributor.authorCoelho, Teresa
dc.contributor.authorCunha, João Paulo Silva
dc.date.accessioned2020-08-27T09:36:48Z
dc.date.available2020-08-27T09:36:48Z
dc.date.issued2019-11-12
dc.description.abstractMotion analysis systems based on a single markerless RGB-D camera are more suitable for clinical practice than multi-camera marker-based reference systems. Nevertheless, the validity of RGB-D cameras for motor function assessment in some diseases affecting gait, such as Transthyretin Familial Amyloid Polyneuropathy (TTR-FAP), is yet to be investigated. In this study, the agreement between the Kinect v2 and a reference system for obtaining spatiotemporal and kinematic gait parameters was evaluated in the context of TTR-FAP. 3-D body joint data provided by both systems were acquired from ten TTR-FAP symptomatic patients, while performing ten gait trials. For each gait cycle, we computed several spatiotemporal and kinematic gait parameters. We then determined, for each parameter, the Bland Altman's bias and 95% limits of agreement, as well as the Pearson's and concordance correlation coefficients, between systems. The obtained results show that an affordable, portable and non-invasive system based on an RGB-D camera can accurately obtain most of the studied gait parameters (excellent or good agreement for eleven spatiotemporal and one kinematic). This system can bring more objectivity to motor function assessment of polyneuropathy patients, potentially contributing to an improvement of TTR-FAP treatment and understanding, with great benefits to the patients' quality of life.pt_PT
dc.description.sponsorshipThis research was funded by ERDF – European Regional Development Fund through the Operational Program for Competitiveness and Internationalization - COMPETE 2020, and by national funds through the Porto Hospital Center (CHP) in the context of the scholarship BI.02/2018/UCA/CHP, and through the Portuguese Foundation for Science and Technology (FCT), in the context of scholarship SFRH/BD/110438/2015, and projects UID/CEC/00127/2019, UID/CEC/00127/2013, Incentivo/EEI/UI0127/2014, FCOMP-01-0124-FEDER-028943 and FCOMP-01-0124-FEDER-029673. It was also partially funded by NORTE2020 Integrated Project NanoSTIMA “NORTE-01-0145-FEDER-000016”, and POCI-01-0145-FEDER-028618 (PTDC/CCI-COM/28618/2017) - PERFECT, under the PORTUGAL 2020 Partnership Agreement, and through the European Regional Development Fundpt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationVilas-Boas MDC, Rocha AP, Choupina HMP, et al. Validation of a Single RGB-D Camera for Gait Assessment of Polyneuropathy Patients. Sensors (Basel). 2019;19(22):4929. Published 2019 Nov 12. doi:10.3390/s19224929pt_PT
dc.identifier.doi10.3390/s19224929pt_PT
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10400.16/2447
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/19/22/4929pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subject3-D motion analysispt_PT
dc.subjectRGB-D camerapt_PT
dc.subjectGaitpt_PT
dc.subjectneuropathypt_PT
dc.subjectsystem validitypt_PT
dc.titleValidation of a Single RGB-D Camera for Gait Assessment of Polyneuropathy Patientspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FCEC%2F00127%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/Incentivo%2FEEI%2FUI0127%2F2014/PT
oaire.citation.conferencePlaceSwitzerlandpt_PT
oaire.citation.issue22pt_PT
oaire.citation.startPage4929pt_PT
oaire.citation.titleSensors (Basel, Switzerland)pt_PT
oaire.citation.volume19pt_PT
oaire.fundingStream5876
oaire.fundingStream3599-PPCDT
person.familyNameVB Olazabal
person.familyNameRocha
person.familyNameChoupina
person.familyNameMaria Fernandes
person.givenNameMCarmo
person.givenNameAna
person.givenNameHugo
person.givenNameJose
person.identifierR-00H-2PP
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person.identifier.orcid0000-0002-5012-789X
person.identifier.orcid0000-0002-4094-7982
person.identifier.orcid0000-0003-0864-3003
person.identifier.orcid0000-0002-0681-9354
person.identifier.ridA-7991-2019
person.identifier.ridA-1331-2012
person.identifier.scopus-author-id57191403276
person.identifier.scopus-author-id56039182200
person.identifier.scopus-author-id16635802500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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