• DocumentCode
    2393092
  • Title

    ECG signal denoising using noise invalidation

  • Author

    Nikvand, N. ; Rafsanjani, H. Bagherzadeh ; Khalilzadeh, M.A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2010
  • fDate
    3-4 Nov. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents an ECG denoising scheme based on the previously introduced noise invalidation method. The method provides an adaptive data dependent threshold which can be used to denoise ECG signals in an orthogonal basis of choice, by discarding coefficients that are smaller than the proposed threshold. Performance of the noise invalidation method is evaluated using mean square error by denoising a set of ECG signals corrupted by various types of noise, which usually affect ECG signal quality in practice.
  • Keywords
    electrocardiography; mean square error methods; medical signal processing; noise; signal denoising; ECG denoising scheme; ECG signal denoising; mean square error method; noise invalidation method; AWGN; Artificial neural networks; Databases; Electrocardiography; Filtering; Adaptive Thresholding; Denoising; ECG; Wavelet Transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering (ICBME), 2010 17th Iranian Conference of
  • Conference_Location
    Isfahan
  • Print_ISBN
    978-1-4244-7483-7
  • Type

    conf

  • DOI
    10.1109/ICBME.2010.5704917
  • Filename
    5704917