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dc.contributor.authorKhawaja, Antoun*
dc.date.accessioned2021-02-11T08:43:51Z
dc.date.available2021-02-11T08:43:51Z
dc.date.issued2007*
dc.date.submitted2019-07-30 20:02:02*
dc.identifier35691*
dc.identifier.issn18645933*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/41640
dc.description.abstractThe main objective of this book is to analyse and detect small changes in ECG waves and complexes that indicate cardiac diseases and disorders. Detecting predisposition to Torsade de Points (TDP) by analysing the beat-to-beat variability in T wave morphology is the main core of this work. The second main topic is detecting small changes in QRS complex and predicting future QRS complexes of patients. Moreover, the last main topic is clustering similar ECG components in different groups.*
dc.languageEnglish*
dc.relation.ispartofseriesKarlsruhe transactions on biomedical engineering*
dc.subjectT1-995*
dc.subject.otherWavelet*
dc.subject.otherTdP*
dc.subject.otherBaseline Wander*
dc.subject.otherECG*
dc.subject.otherTorsade de Points*
dc.subject.otherFeature Extraction*
dc.subject.otherBiosignal Pr*
dc.subject.otherMulti-Channel ECG*
dc.subject.otherPrincipal Component Analysis*
dc.subject.otherPCA*
dc.titleAutomatic ECG analysis using principal component analysis and wavelet transformation*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000006642*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
virtual.oapen_relation_isPublishedBy.publisher_nameKIT Scientific Publishing
virtual.oapen_relation_isPublishedBy.publisher_websitehttp://www.ksp.kit.edu/
oapen.relation.isbn9783866441323*
oapen.pages214*
oapen.volume3*


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