Classification Of Heart Sounds Using Time-Frequency Analysis And Image Processing Methods
but.event.date | 27.04.2017 | cs |
but.event.title | Student EEICT 2017 | cs |
dc.contributor.author | Demjan, Michal | |
dc.contributor.author | Nejedlý, Petr | |
dc.date.accessioned | 2020-05-07T09:40:26Z | |
dc.date.available | 2020-05-07T09:40:26Z | |
dc.date.issued | 2017 | cs |
dc.description.abstract | This 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.format | text | cs |
dc.format.extent | 115-117 | cs |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Proceedings of the 23st Conference STUDENT EEICT 2017. s. 115-117. ISBN 978-80-214-5496-5 | cs |
dc.identifier.isbn | 978-80-214-5496-5 | |
dc.identifier.uri | http://hdl.handle.net/11012/187054 | |
dc.language.iso | cs | cs |
dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.relation.ispartof | Proceedings of the 23st Conference STUDENT EEICT 2017 | en |
dc.relation.uri | http://www.feec.vutbr.cz/EEICT/ | cs |
dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.rights.access | openAccess | en |
dc.subject | PCG | en |
dc.subject | Hearth sounds | en |
dc.subject | time-frequency analysis | en |
dc.subject | continuous wavelet transform | en |
dc.subject | Smith-Waterman alignment | en |
dc.title | Classification Of Heart Sounds Using Time-Frequency Analysis And Image Processing Methods | en |
dc.type.driver | conferenceObject | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |
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