Evaluation of cuff-less blood pressure monitoring models over multiple data sets

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dc.contributor.authorBarnes, Jimen
dc.contributor.authorCrowe, Columen
dc.contributor.authorO’Flynn, Brendanen
dc.contributor.authorTedesco, Salvatoreen
dc.contributor.funderEnterprise Irelanden
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.date.accessioned2023-10-31T16:43:31Z
dc.date.available2023-10-31T16:43:31Z
dc.date.issued2023-07-03en
dc.description.abstractBlood pressure (BP) monitoring via cuffless devices has gained significant attention in the last few years. Despite a plethora of works having been produced in this field based on traditional machine learning (ML) or deep learning (DL) models, very limited research has been carried out in terms of the external validation and reproducibility of said models to ensure that they are of clinical use. To the best of the authors’ knowledge, this is the first study to evaluate several of the currently most well cited ML/DL-based models for cuffless BP monitoring over multiple independent data sets. The results of this investigation in reproducibility are reported with particular recommendations provided regarding standardized data collection protocols, models and signals, data recording length, and open access data as potential steps to overcoming the challenge of reproducibility in ML/DL models in this field and the health domain in general.en
dc.description.sponsorshipScience Foundation Ireland and European Regional Development Fund (Grant 12/RC/2289-P2-INSIGHT); Enterprise Ireland (Disruptive Technologies Innovation Fund (DTIF) project HOLISTICS)en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationBarnes, J., Crowe, C., O’Flynn, B. and Tedesco, S. (2023) 'Evaluation of cuff-less blood pressure monitoring models over multiple data sets', 2023 34th Irish Signals and Systems Conference (ISSC), Dublin, Ireland, 13-14 June, pp. 1-8. doi: 10.1109/ISSC59246.2023.10162037.en
dc.identifier.doi10.1109/issc59246.2023.10162037en
dc.identifier.eissn2688-1454en
dc.identifier.endpage8en
dc.identifier.isbn979-8-3503-4057-0en
dc.identifier.isbn979-8-3503-4058-7en
dc.identifier.issn2688-1446en
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/15172
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartof2023 34th Irish Signals and Systems Conference (ISSC), Dublin, Ireland, 13-14 June.en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres Programme::Phase 1/16/RC/3918/IE/Confirm Centre for Smart Manufacturing/en
dc.relation.project12/RC/2289-P2-INSIGHTen
dc.rights© 2023, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.subjectCuff-less blood pressureen
dc.subjectBlood pressure monitoringen
dc.subjectReproducibilityen
dc.titleEvaluation of cuff-less blood pressure monitoring models over multiple data setsen
dc.typeConference itemen
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