Classification Of Heart Sounds Using Time-Frequency Analysis And Image Processing Methods
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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.
KeywordsPCG, Hearth sounds, time-frequency analysis, continuous wavelet transform, Smith-Waterman alignment
Document typePeer reviewed
Document versionFinal PDF
SourceProceedings of the 23st Conference STUDENT EEICT 2017. s. 115-117. ISBN 978-80-214-5496-5
- Student EEICT 2017