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

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2017
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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.
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PCG, Hearth sounds, time-frequency analysis, continuous wavelet transform, Smith-Waterman alignment
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Proceedings of the 23st Conference STUDENT EEICT 2017. s. 115-117. ISBN 978-80-214-5496-5
http://www.feec.vutbr.cz/EEICT/
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Peer-reviewed
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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http://hdl.handle.net/11012/187054
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