Reliability of a computational model for evaluating thoracoabdominal mobility in newborns: a cross‑sectional study

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datacite.alternateIdentifier.citationJournal of Clinical Monitoring and Computing, Vol. 36, 987–994, 2022en_US
datacite.alternateIdentifier.doi10.1007/s10877-021-00723-yen_US
datacite.alternateIdentifier.issn1573-2614 (electrónico)en_US
datacite.creatorGomes, Danielle C.
datacite.creatorGuerra Azevedo, Ingrid
datacite.creatorFigueiredo Araùjo, Ana Gabriela
datacite.creatorde Oliveira Holanda, Norrara Scarlytt
datacite.creatorAnicio Magalhäes, Fabrìcio
datacite.creatorAlves Pereira, Silvana
datacite.date2021-05-27
datacite.subjectRespiratory mechanicsen_US
datacite.subjectNewborn
datacite.subjectInfant
datacite.subjectPhotogrammetry
datacite.titleReliability of a computational model for evaluating thoracoabdominal mobility in newborns: a cross‑sectional studyen_US
dc.coverageBrazilen_US
dc.date.accessioned2024-03-25T19:42:25Z
dc.date.available2024-03-25T19:42:25Z
dc.description.abstractThe present study aimed to verify the inter and intra-examiner reliability of an interactive custom-made MATLAB (R) App for bio-photogrammetric analysis of thoracoabdominal mobility in newborns and compare the respiratory rate (RR) results between the automatic MATLAB (R) App and its manual counterpart. This is a cross-sectional study conducted in 27 healthy newborns of both sexes (gestational age between 37 and 41 weeks and up to 72 h of life) who did not cry during data acquisition. Chest and abdominal areas of the subjects in the supine position were analyzed through 60 s videos, totaling 30,714 photograms. All photograms were analyzed by three examiners on three different occasions. Analysis of variance (ANOVA) and intraclass correlation coefficient (ICC) were applied, adopting a 95% confidence interval and significance level of alpha = 0.05. Reliability was excellent for intra (ICC 0.81-0.96) and inter-examiner correlations (ICC 0.84-0.99) between the chest and abdominal areas, in both inspiration and expiration, with no differences between them. Evaluation of newborns' thoracoabdominal mobility using the custom-made MATLAB (R) App for bio-photogrammetric analysis exhibited good to excellent intra- and inter-examiner reliability and an excellent correlation between manual and automatic models for measuring RR. Thus, it proved to be an objective and practical tool for bedside thoracoabdominal mobility assessment in different clinical situations involving neonatal care.en_US
dc.formatPDFen_US
dc.identifier.urihttps://repositoriodigital.uct.cl/handle/10925/5576
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rightsTodos los derechos reservadosen_US
dc.sourceJournal of Clinical Monitoring and Computingen_US
oaire.resourceTypeArtículo de Revistaen_US
oaire.versionpostprinten_US
uct.carreraKinesiologíaen_US
uct.catalogadorJCCLen_US
uct.comunidadCiencias de la Saluden_US
uct.disciplinaKinesiologíaen_US
uct.facultadFacultad de Ciencias de la Saluden_US
uct.indizacionSCI EXPANDEDen_US
uct.indizacionGoogle Scholar
uct.indizacionSCOPUS
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