Brno University of Technology Smartphone PPG Database (BUT PPG): Annotated Dataset for PPG Quality Assessment and Heart Rate Estimation

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dc.contributor.authorNěmcová, Andreacs
dc.contributor.authorVargová, Eniköcs
dc.contributor.authorSmíšek, Radovancs
dc.contributor.authorMaršánová, Luciecs
dc.contributor.authorSmital, Lukášcs
dc.contributor.authorVítek, Martincs
dc.coverage.issue9cs
dc.coverage.volume2021cs
dc.date.accessioned2021-09-29T14:55:45Z
dc.date.available2021-09-29T14:55:45Z
dc.date.issued2021-09-07cs
dc.description.abstractTo the best of our knowledge, there is no annotated database of PPG signals recorded by smartphone publicly available. This article introduces Brno University of Technology Smartphone PPG Database (BUT PPG) which is an original database created by the cardiology team at the Department of Biomedical Engineering, Brno University of Technology, for the purpose of evaluating photoplethysmographic (PPG) signal quality and estimation of heart rate (HR). The data comprises 48 10-second recordings of PPGs and associated electrocardiographic (ECG) signals used for determination of reference HR. The data were collected from 12 subjects (6 female, 6 male) aged between 21 and 61. PPG data were collected by smartphone Xiaomi Mi9 with sampling frequency of 30 Hz. Reference ECG signals were recorded using a mobile ECG recorder (Bittium Faros 360) with a sampling frequency of 1,000 Hz. Each PPG signal includes annotation of quality created manually by biomedical experts and reference HR. PPG signal quality is indicated binary: 1 indicates good quality for HR estimation, 0 indicates signals where HR cannot be detected reliably, and thus, these signals are unsuitable for further analysis. As the only available database containing PPG signals recorded by smartphone, BUT PPG is a unique tool for the development of smart, user-friendly, cheap, on-the-spot, self-home-monitoring of heart rate with the potential of widespread using.en
dc.formattextcs
dc.format.extent1-6cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationBioMed Research International. 2021, vol. 2021, issue 9, p. 1-6.en
dc.identifier.doi10.1155/2021/3453007cs
dc.identifier.issn2314-6133cs
dc.identifier.other172585cs
dc.identifier.urihttp://hdl.handle.net/11012/201673
dc.language.isoencs
dc.publisherHindawics
dc.relation.ispartofBioMed Research Internationalcs
dc.relation.urihttps://www.hindawi.com/journals/bmri/2021/3453007/cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2314-6133/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectphotoplethysmogramen
dc.subjectPPGen
dc.subjectdatabaseen
dc.subjectPhysioNeten
dc.subjectheart rate annotationsen
dc.subjectPPG signal quality annotationsen
dc.titleBrno University of Technology Smartphone PPG Database (BUT PPG): Annotated Dataset for PPG Quality Assessment and Heart Rate Estimationen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-172585en
sync.item.dbtypeVAVen
sync.item.insts2021.10.15 12:54:44en
sync.item.modts2021.10.15 12:15:50en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav biomedicínského inženýrstvícs
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