Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/741
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dc.contributor.authorAgrawal, Gracee-
dc.contributor.authorSingh, Manju-
dc.contributor.authorSingh, V R-
dc.contributor.authorSingh, H R-
dc.date.accessioned2008-04-04T09:48:26Z-
dc.date.available2008-04-04T09:48:26Z-
dc.date.issued2008-01-
dc.identifier.issn0022-4456-
dc.identifier.urihttp://hdl.handle.net/123456789/741-
dc.description43-48en_US
dc.description.abstractECG signals are required to be reduced for accurate and easier diagnosis in clinical resting ECG, ambulatory ECG, exercise ECG and long-term ECG monitoring. In this paper, Fast ICA algorithm has been used for reducing artifacts and noise from 12- channel ECG recordings. A Graphical User Interface is also made for the same purpose.en_US
dc.language.isoen_USen_US
dc.publisherCSIRen_US
dc.sourceJSIR Vol.67(1) [January 2008]en_US
dc.subjectArtifacts reductionen_US
dc.subjectBlind source separationen_US
dc.subjectECGen_US
dc.subjectFast ICA algorithmen_US
dc.subjectIndependent component analysisen_US
dc.titleReduction of artifacts in 12-channel ECG signals using FastICA algorithmen_US
dc.typeArticleen_US
Appears in Collections:JSIR Vol.67(01) [January 2008]

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