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ECG denoising using modulus maxima of wavelet transform

Ayat, M ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/IEMBS.2009.5332617
  3. Abstract:
  4. ECG denoising has always been an important issue in medical engineering. The purposes of denoising are reducing noise level and improving signal to noise ratio (SNR) without distorting the signal. This paper proposes a method for removing white Gaussian noise from ECG signals. The concepts of singularity and local maxima of the wavelet transform modulus were used for analyzing singularity and reconstructing the ECG signal. Adaptive thresholding was used to remove white Gaussian noise modulus maximum of wavelet transform and then reconstruct the signal. ©2009 IEEE
  5. Keywords:
  6. ECG denoising ; Wavelet transform ; Adaptive thresholding ; De-noising ; ECG signals ; Lipschitz exponents ; Local maximum ; Medical engineering ; Modulus maxima ; Reducing noise ; Singular points ; White gaussian noise ; Biology ; Biomedical engineering ; Electrochromic devices ; Engineering ; Gaussian noise (electronic) ; Partial discharges ; Signal processing ; Signal to noise ratio ; Wavelet transforms ; White noise ; Electrocardiography
  7. Source: Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, 2 September 2009 through 6 September 2009, Minneapolis, MN ; 2009 , Pages 416-419 ; 9781424432967 (ISBN)
  8. URL: http://ieeexplore.ieee.org/document/5332617