Elimination of Interference in Phonocardiogram Signal Based on Wavelet Transform and Empirical Mode Decomposition

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.