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  • Title: Application of the dual-tree complex wavelet transform in biomedical signal denoising.
    Author: Wang F, Ji Z.
    Journal: Biomed Mater Eng; 2014; 24(1):109-15. PubMed ID: 24211889.
    Abstract:
    In biomedical signal processing, Gibbs oscillation and severe frequency aliasing may occur when using the traditional discrete wavelet transform (DWT). Herein, a new denoising algorithm based on the dual-tree complex wavelet transform (DTCWT) is presented. Electrocardiogram (ECG) signals and heart sound signals are denoised based on the DTCWT. The results prove that the DTCWT is efficient. The signal-to-noise ratio (SNR) and the mean square error (MSE) are used to compare the denoising effect. Results of the paired samples t-test show that the new method can remove noise more thoroughly and better retain the boundary and texture of the signal.
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