High Resolution of the ECG Signal by Polynomial Approximation

dc.contributor.authorJurko, Stefan
dc.contributor.authorRozinaj, Gregor
dc.coverage.issue1cs
dc.coverage.volume15cs
dc.date.accessioned2016-04-22T06:14:26Z
dc.date.available2016-04-22T06:14:26Z
dc.date.issued2006-04cs
dc.description.abstractAveraging techniques as temporal averaging and space averaging have been successfully used in many applications for attenuating interference [6], [7], [8], [9], [10]. In this paper we introduce interference removing of the ECG signal by polynomial approximation, with smoothing discrete dependencies, to make up for averaging methods. The method is suitable for low-level signals of the electrical activity of the heart often less than 10 m V. Most low-level signals arising from PR, ST and TP segments which can be detected eventually and their physiologic meaning can be appreciated. Of special importance for the diagnostic of the electrical activity of the heart is the activity bundle of His between P and R waveforms. We have established an artificial sine wave to ECG signal between P and R wave. The aim focus is to verify the smoothing method by polynomial approximation if the SNR (signal-to-noise ratio) is negative (i.e. a signal is lower than noise).en
dc.formattextcs
dc.format.extent32-37cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2006, vol. 15, č. 1, s. 32-37. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/57943
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2006/06_01_32_37.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectPolynomial approximationen
dc.subjectelectrocardiogram ECGen
dc.subjecthigh resolution of the ECGen
dc.subjectlow-level signalsen
dc.subjectinterferenceen
dc.titleHigh Resolution of the ECG Signal by Polynomial Approximationen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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