Original title: Classification Of Heart Sounds Using Time-Frequency Analysis And Image Processing Methods
Authors: Demjan, Michal ; Nejedlý, Petr
Document type: Papers
Language: cze
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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.
Keywords: continuous wavelet transform; Hearth sounds; PCG; Smith-Waterman alignment; time-frequency analysis
Host item entry: Proceedings of the 23st Conference STUDENT EEICT 2017, ISBN 978-80-214-5496-5

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/187054

Permalink: http://www.nusl.cz/ntk/nusl-414714


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