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dc.contributor.authorHuang, Chien-Chunen_US
dc.contributor.authorLiang, Sheng-Fuen_US
dc.contributor.authorYoung, Ming-Shingen_US
dc.contributor.authorShaw, Fu-Zenen_US
dc.date.accessioned2014-12-08T15:10:16Z-
dc.date.available2014-12-08T15:10:16Z-
dc.date.issued2009-01-01en_US
dc.identifier.issn0967-3334en_US
dc.identifier.urihttp://dx.doi.org/10.1088/0967-3334/30/1/002en_US
dc.identifier.urihttp://hdl.handle.net/11536/7838-
dc.description.abstractPowerline interference always disturbs recordings of biomedical signals. Numerous methods have been developed to reduce powerline interference. However, most of these techniques not only reduce the interference but also attenuate the 60 Hz power of the biomedical signals themselves. In the present study, we applied the S-transform, which provides an absolute phase of each frequency in a multi-resolution time-frequency analysis, to reduce 60 Hz interference. According to results from an electrocardiogram (ECG) to which a simulated 60 Hz noise was added, the S-transform de-noising process restored a power spectrum identical to that of the original ECG coincident with a significant reduction in the 60 Hz interference. Moreover, the S-transform de-noised the signal in an intensity-independent manner when reducing the 60 Hz interference. In both a real ECG signal from the MIT database and natural brain activity contaminated with 60 Hz interference, the S-transform also displayed superior merit to a notch filter in the aspect of reducing noise and preserving the signal. Based on these data, a novel application of the S-transform for removing powerline interference is established.en_US
dc.language.isoen_USen_US
dc.subjectpowerline interferenceen_US
dc.subjectS-transformen_US
dc.subjectnotch filteren_US
dc.subjectECGen_US
dc.subjectEEGen_US
dc.titleA novel application of the S-transform in removing powerline interference from biomedical signalsen_US
dc.typeArticleen_US
dc.identifier.doi10.1088/0967-3334/30/1/002en_US
dc.identifier.journalPHYSIOLOGICAL MEASUREMENTen_US
dc.citation.volume30en_US
dc.citation.issue1en_US
dc.citation.spage13en_US
dc.citation.epage27en_US
dc.contributor.department智慧型仿生系統研究中心zh_TW
dc.contributor.departmentBiomimetic Systems Research Centeren_US
dc.identifier.wosnumberWOS:000263031300002-
dc.citation.woscount7-
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