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dc.contributor.authorChudáček, Václav
dc.contributor.authorHuptych, Michal
dc.contributor.authorLhotská, Lenka
dc.contributor.authorKittnar, Otoman
dc.date.accessioned2011-01-20T11:49:53Z
dc.date.available2011-01-20T11:49:53Z
dc.date.issued2005
dc.identifier.citationAdvances in electrical and electronic engineering. 2005, vol. 4, no. 3, p. 132-137.en
dc.identifier.issn1336-1376
dc.identifier.urihttp://hdl.handle.net/10084/83682
dc.description.abstractThe aim of the paper is to present current research activity in the area of computer supported ECG processing. Analysis of heart electric field based on standard 12lead system is at present the most frequently used method of heart disease diagnostics. However body surface potential mapping (BSPM) that measures electric potentials from several tens to hundreds of electrodes placed on thorax surface has in certain cases higher diagnostic value given by data collection in areas that are inaccessible for standard 12lead ECG. For preprocessing, wavelet transform is used; it allows detect significant values on the ECG signal. Several types of maps, namely immediate potential, integral, isochronous, and differential.en
dc.format.extent1575365 bytescs
dc.format.mimetypeapplication/pdfcs
dc.language.isocsen
dc.publisherŽilinská univerzita v Žiline. Elektrotechnická fakultaen
dc.relation.ispartofseriesAdvances in electrical and electronic engineeringen
dc.relation.urihttp://advances.utc.sk/index.php/AEEEen
dc.rightsCreative Commons Attribution 3.0 Unported (CC BY 3.0)en
dc.rights© Žilinská univerzita v Žiline. Elektrotechnická fakultaen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.titleMapování elektrických potenciálů z povrchu hrudníku - předzpracování a vizualizaceen
dc.typearticleen
dc.rights.accessopenAccess
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs


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  • AEEE. 2005, vol. 4 [32]
  • OpenAIRE [5085]
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Creative Commons Attribution 3.0 Unported (CC BY 3.0)
Except where otherwise noted, this item's license is described as Creative Commons Attribution 3.0 Unported (CC BY 3.0)