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dc.contributor.authorRomero-Ortuno, Romanen
dc.contributor.authorKnight, Silvinen
dc.date.accessioned2023-10-31T09:36:23Z
dc.date.available2023-10-31T09:36:23Z
dc.date.issued2023en
dc.date.submitted2023en
dc.identifier.citationFeng Xue, Silvin P. Knight, Emma Connolly, Eoin Duggan, Roman Romero-Ortuno, Functional clustering of continuous cardiovascular and brain oxygenation signals during an active stand test in The Irish Longitudinal Study on Ageing (TILDA), EURASIP Proceedings, 31st European Signal Processing Conference (EUSIPCO 2023), Helsinki, Finland, 2023en
dc.identifier.otherYen
dc.descriptionPUBLISHEDen
dc.descriptionHelsinki, Finlanden
dc.description.abstractIn this study, we performed K-shape functional clustering of two non-invasive continuous cardiovascular (systolic Blood Pressure: sBP) and brain oxygenation (left frontal lobe Tissue Saturation Index: TSI) times series signals, simultaneously collected 20 seconds before to 40 seconds after an active stand (AS) test in 2158 participants of The Irish Longitudinal Study on Ageing. Both signals were normalised and adjoined prior to clustering, and the gap statistic method was used to determine the optimum number of clusters. Eight clusters were obtained and characterised. Cluster 5 (n=287) and Cluster 1 (n=173) were independently predictive of not reporting dizziness post-AS or falls after 8 years, and were characterised by complete (Cluster 5) or near-complete (Cluster 1) sBP recovery and a moderate/transient (Cluster 5) or large/sustained (Cluster 1) TSI overshoot. Cluster 3 (n=304) and Cluster 6 (n=326) were independently predictive of post-AS dizziness and had large sBP recovery deficit/lack of TSI overshoot (Cluster 3) or moderate sBP recovery deficit/TSI overshoot (Cluster 6). Cluster 8 (n=289) was the most multimorbid and showed both sBP and TSI recovery deficits. This data-driven approach produced clinically meaningful results and may help clinicians recognise combined neurovascular signatures of orthostatic regulation in older people, both in health and disease.en
dc.language.isoenen
dc.rightsYen
dc.subjectFunctional clusteringen
dc.subjectK-shapeen
dc.subjectActive standen
dc.subjectCardiovascularen
dc.subjectBrain oxygenationen
dc.subjectSignal couplingen
dc.titleFunctional clustering of continuous cardiovascular and brain oxygenation signals during an active stand test in The Irish Longitudinal Study on Ageing (TILDA)en
dc.title.alternativeEURASIP Proceedingsen
dc.title.alternative31st European Signal Processing Conference (EUSIPCO 2023)en
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/romerooren
dc.identifier.peoplefinderurlhttp://people.tcd.ie/siknighten
dc.identifier.rssinternalid259840en
dc.identifier.doihttps://ieeexplore.ieee.org/document/10290095en
dc.rights.ecaccessrightsopenAccess
dc.subject.TCDThemeAgeingen
dc.subject.TCDThemeDigital Engagementen
dc.subject.TCDTagFRAILMaticsen
dc.subject.TCDTagFrailty & Resilienceen
dc.identifier.rssurihttps://eurasip.org/Proceedings/Eusipco/Eusipco2023/pdfs/0001080.pdfen
dc.identifier.orcid_id0000-0002-3882-7447en
dc.subject.darat_impairmentAge-related disabilityen
dc.subject.darat_impairmentChronic Health Conditionen
dc.subject.darat_thematicHealthen
dc.subject.darat_thematicThird age/ageingen
dc.status.accessibleNen
dc.contributor.sponsorScience Foundation Ireland (SFI)en
dc.contributor.sponsorGrantNumber18/FRL/6188en
dc.identifier.urihttp://hdl.handle.net/2262/104080


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