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dc.contributor.authorAcar, B.en_US
dc.contributor.authorKöymen H.en_US
dc.date.accessioned2016-02-08T10:49:33Z
dc.date.available2016-02-08T10:49:33Z
dc.date.issued1996en_US
dc.identifier.issn0276-6574
dc.identifier.urihttp://hdl.handle.net/11693/25722
dc.description.abstractIn this paper an efficient method of making use of the redundancy in standard 12 lead ECG signals to eliminate noise is described. The method is based on orthogonalization via online Singular Value Decomposition (SVD). Its application as a filter to remove EMG noise and baseline wander are explained. A comparative study of ST analysis results of original and processed exercise ECG data is reported.en_US
dc.language.isoEnglishen_US
dc.source.titleComputers in Cardiologyen_US
dc.subjectAlgorithmsen_US
dc.subjectApproximation theoryen_US
dc.subjectEigenvalues and eigenfunctionsen_US
dc.subjectMatrix algebraen_US
dc.subjectOnline systemsen_US
dc.subjectSignal filtering and predictionen_US
dc.subjectSpurious signal noiseen_US
dc.subjectBaseline wanderen_US
dc.subjectExercise electrocardiogramsen_US
dc.subjectOrthogonalizationen_US
dc.subjectSingular value decompositionen_US
dc.subjectElectrocardiographyen_US
dc.titleOnline exercise ECG signal orthogonalizationen_US
dc.typeArticleen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage237en_US
dc.citation.epage240en_US
dc.citation.volumeNumber0en_US
dc.citation.issueNumber0en_US


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