Wearable technology-based metrics for predicting operator performance during cardiac catheterisation

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dc.contributor.authorCurrie, Jonathan
dc.contributor.authorBond, Raymond R.
dc.contributor.authorMcCullagh, Paul
dc.contributor.authorBlack, Pauline
dc.contributor.authorFinlay, Dewar D.
dc.contributor.authorGallagher, Stephen
dc.contributor.authorKearney, Peter
dc.contributor.authorPeace, Aaron
dc.contributor.authorStoyanov, Danail
dc.contributor.authorBicknell, Colin D.
dc.contributor.authorLeslie, Stephen
dc.contributor.authorGallagher., Anthony G.
dc.contributor.funderDepartment of the Economy, Northern Irelanden
dc.contributor.funderUlster Universityen
dc.date.accessioned2019-11-20T06:05:47Z
dc.date.available2019-11-20T06:05:47Z
dc.date.issued2019-04
dc.description.abstractUnobtrusive metrics that can auto-assess performance during clinical procedures are of value. Three approaches to deriving wearable technology-based metrics are explored: (1) eye tracking, (2) psychophysiological measurements [e.g. electrodermal activity (EDA)] and (3) arm and hand movement via accelerometry. We also measure attentional capacity by tasking the operator with an additional task to track an unrelated object during the procedure.en
dc.description.sponsorshipThe ASSERT Centre, UCC.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationCurrie, J., Bond, R.R., McCullagh, P., Black, P., Finlay, D.D., Gallagher, S., Kearney, P., Peace, A., Stoyanov, D., Bicknell, C.D. and Leslie, S., 2019. Wearable technology-based metrics for predicting operator performance during cardiac catheterisation. International journal of computer assisted radiology and surgery, (13pp). DOI:10.1007/s11548-019-01918-0en
dc.identifier.doi10.1007/s11548-019-01918-0en
dc.identifier.endpage657en
dc.identifier.issued4en
dc.identifier.journaltitleInternational Journal of Computer Assisted Radiology and Surgeryen
dc.identifier.startpage645en
dc.identifier.urihttps://hdl.handle.net/10468/9157
dc.identifier.volume14en
dc.language.isoenen
dc.publisherSpringeren
dc.relation.urihttps://link.springer.com/article/10.1007%2Fs11548-019-01918-0
dc.rights© The Author(s) 2019en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectSurgical simulationen
dc.subjectSimulation-based trainingen
dc.subjectEye trackingen
dc.subjectWearable technologyen
dc.subjectAttentional capacityen
dc.titleWearable technology-based metrics for predicting operator performance during cardiac catheterisationen
dc.typeArticle (peer-reviewed)en
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