ECG denoising with adaptive bionic wavelet transform

Sayadi, O ; Sharif University of Technology | 2006

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  1. Type of Document: Article
  2. DOI: 10.1109/IEMBS.2006.260897
  3. Publisher: 2006
  4. Abstract:
  5. In this paper a new ECG denoising scheme is proposed using a novel adaptive wavelet transform, named bionic wavelet transform (BWT), which had been first developed based on a model of the active auditory system. There has been some outstanding features with the BWT such as nonlinearity, high sensitivity and frequency selectivity, concentrated energy distribution and its ability to reconstruct signal via inverse transform but the most distinguishing characteristic of BWT is that its resolution in the time-frequency domain can be adaptively adjusted not only by the signal frequency but also by the signal instantaneous amplitude and its first-order differential. Besides by optimizing the BWT parameters parallel to modifying a new threshold value, one can handle ECG denoising with results comparing to those of wavelet transform (WT). Preliminary tests of BWT application to ECG denoising were constructed on the signals of MIT-BIH database which showed high performance of noise reduction. © 2006 IEEE
  6. Keywords:
  7. Frequency domain analysis ; Noise abatement ; Parameter estimation ; Sensitivity analysis ; Time domain analysis ; Wavelet transforms ; Active auditory systems ; Bionic wavelet transforms ; Denoising ; ECG signals ; Electrocardiography
  8. Source: 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06, New York, NY, 30 August 2006 through 3 September 2006 ; 2006 , Pages 6597-6600 ; 05891019 (ISSN); 1424400325 (ISBN); 9781424400324 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4030608