Wavelet based approach to the adaptive analysis of electrocardiography signals

dc.contributor.authorIrzmański, Paweł
dc.contributor.authorJóśko, Adam
dc.date.accessioned2014-07-28T12:45:54Z
dc.date.available2014-07-28T12:45:54Z
dc.date.issued2013
dc.description.abstractThe article discusses the problem of the automatic QRS complex detection in the electrocardiography signals. Among other approaches the Wavelet based algorithms are the ones of the most promising outcomes. Authors propose introduction of elements of adaptive techniques to the original scheme. The main aim is to achieve good SNR for different morphologies of QRS complexes both normal and dysfunctional cases, with the main focus on ventricular arrhythmias.en
dc.format1 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationCPEE – AMTEE 2013: Joint conference Computational Problems of Electrical Engineering and Advanced Methods of the Theory of Electrical Engineering: 4th – 6th September 2013 Roztoky u Křivoklátu, Czech Republic, p. II-11.en
dc.identifier.isbn978-80-261-0247-2
dc.identifier.urihttp://hdl.handle.net/11025/11614
dc.language.isoenen
dc.publisherUniversity of West Bohemiaen
dc.relation.ispartofseriesCPEE – AMTEE 2013: Joint conference Computational Problems of Electrical Engineering and Advanced Methods of the Theory of Electrical Engineeringen
dc.rights© University of West Bohemiaen
dc.rights.accessopenAccessen
dc.subjectvlnková transformacecs
dc.subjectQRS detekcecs
dc.subjectelektrokardiografiecs
dc.subjectzpracování signálucs
dc.subject.translatedwavelet transformen
dc.subject.translatedQRS detectionen
dc.subject.translatedelectrocardiographyen
dc.subject.translatedsignal processingen
dc.titleWavelet based approach to the adaptive analysis of electrocardiography signalsen
dc.typečlánekcs
dc.typekonferenční příspěvekcs
dc.typearticleen
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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