Publication:
Detection of Mitral Valve Diseases by Bicoherence Analysis of Heart Sound Signals

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dc.contributor.authorAKGÜN, ÖMER
dc.contributor.authorsAkgun, O.; Varol, H. S.
dc.date.accessioned2022-03-12T20:32:27Z
dc.date.accessioned2026-01-11T06:16:48Z
dc.date.available2022-03-12T20:32:27Z
dc.date.issued2017
dc.description.abstractThe analysis of 10 normal and 51 mitral valve pathology making a total of 61 heart sound signals that were obtained with Littmann 4100 Digital Stethoscope were conducted in this study. Following the recorded sound signals were denoised by using wavelet filters, the signals were applied bicoherence analysis that is an high order spectral analysis method. It has been demonstrated that varieties of mitral valve pathology could be determined by three-dimensional surfaces of bicoherence and maximum bicoherence values.
dc.identifier.doi10.3964/j.issn.1000-0593(2017)10-3270-04
dc.identifier.issn1000-0593
dc.identifier.urihttps://hdl.handle.net/11424/234399
dc.identifier.wosWOS:000413888200053
dc.language.isoeng
dc.publisherOFFICE SPECTROSCOPY & SPECTRAL ANALYSIS
dc.relation.ispartofSPECTROSCOPY AND SPECTRAL ANALYSIS
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectMitral valve
dc.subjectHeart sound signals
dc.subjectBicoherence analysis
dc.titleDetection of Mitral Valve Diseases by Bicoherence Analysis of Heart Sound Signals
dc.typearticle
dspace.entity.typePublication
oaire.citation.endPage3273
oaire.citation.issue10
oaire.citation.startPage3270
oaire.citation.titleSPECTROSCOPY AND SPECTRAL ANALYSIS
oaire.citation.volume37

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