Classification Of Heart Sounds Using Time-Frequency Analysis And Image Processing Methods

but.event.date27.04.2017cs
but.event.titleStudent EEICT 2017cs
dc.contributor.authorDemjan, Michal
dc.contributor.authorNejedlý, Petr
dc.date.accessioned2020-05-07T09:40:26Z
dc.date.available2020-05-07T09:40:26Z
dc.date.issued2017cs
dc.description.abstractThis paper describes the algorithm for detection of heart sounds from phonocardiogram record (PCG) using time-frequency analysis and image processing technique. Presented algorithm extracts time-frequency features using continuous wavelet transform (CWT) and subsequently applies image processing methods such as morphological operations and connected components labeling on hearth sounds segment S1-S2. Furthermore, the segmented PCG signal undergoes correction procedure, which uses the Smith-Waterman local alignment algorithm to correctly predict heart sound sequence.en
dc.formattextcs
dc.format.extent115-117cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 23st Conference STUDENT EEICT 2017. s. 115-117. ISBN 978-80-214-5496-5cs
dc.identifier.isbn978-80-214-5496-5
dc.identifier.urihttp://hdl.handle.net/11012/187054
dc.language.isocscs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 23st Conference STUDENT EEICT 2017en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectPCGen
dc.subjectHearth soundsen
dc.subjecttime-frequency analysisen
dc.subjectcontinuous wavelet transformen
dc.subjectSmith-Waterman alignmenten
dc.titleClassification Of Heart Sounds Using Time-Frequency Analysis And Image Processing Methodsen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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