文章基本信息

标题：Elimination of Interference in Phonocardiogram Signal Based on Wavelet Transform and Empirical Mode Decomposition
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作者：Martina Ladrova ; Michaela Sidikova ; Radek Martinek 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：27
页码：440-445
DOI：10.1016/j.ifacol.2019.12.703
语种：English
出版社：Elsevier
摘要：The recording of the phonocardiogram (PCG) signal is an important biological index in the diagnosis and treatment in the area of cardiac diseases and disorders. However, the signal is often corrupted by the wide range of artifacts which affect the quality of the PCG waveform and complicate the process of the diagnosis determination. The study focuses on the well-known signal processing approaches (wavelet transform and empirical mode decomposition) used for elimination of the overlapping interference in PCG signal and evaluates the accuracy of methods by assessment of the power of the remaining noise and comparing a filtered PCG signal with an original one based on correlation and Bland-Altman analysis.
关键词：KeywordsBiological Signal ProcessingDigital Signal ProcessingPhonocardiographyWavelet TransformEmpirical Mode Decomposition