Qrs Detection Based On Stockwell Transform

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but.event.date26.04.2018cs
but.event.titleStudent EEICT 2018cs
dc.contributor.authorKašík, Ondřej
dc.date.accessioned2019-03-04T10:05:33Z
dc.date.available2019-03-04T10:05:33Z
dc.date.issued2018cs
dc.description.abstractThis paper deals with the detection of QRS complexes in the ECG record using the Stockwell transform, Shannon Energy and adaptive thresholding. The information about design of the QRS detector and its detection performance is also provided. Sensitivity of our detector achieves 99,80%, it's positive prediction takes value 98,86%.en
dc.formattextcs
dc.format.extent24-27cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 24th Conference STUDENT EEICT 2018. s. 24-27. ISBN 978-80-214-5614-3cs
dc.identifier.isbn978-80-214-5614-3
dc.identifier.urihttp://hdl.handle.net/11012/138157
dc.language.isoczcs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 24th Conference STUDENT EEICT 2018en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectElectrocardiogramen
dc.subjectQRS complexen
dc.subjectStockwell transformen
dc.subjectShannon energyen
dc.subjectadaptive thresholdingen
dc.subjectdetectionen
dc.titleQrs Detection Based On Stockwell Transformen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs

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