• DocumentCode
    2880874
  • Title

    Denoising the electrocardiogram from electromyogram artifacts by combined transform-domain and dynamic approximation method

  • Author

    Gotchev, Atanas ; Christov, Ivaylo ; Egiazarian, Karen

  • Author_Institution
    Tampere International Center for Signal Processing, Tampere University of Technology, P.O.Box 553, 333101, FINLAND
  • Volume
    4
  • fYear
    2002
  • fDate
    13-17 May 2002
  • Abstract
    A method for electromyogram (EMG) artifact suppression in electrocardiogram (ECG) recordings is presented. In an attempt to improve the traditional compromise between efficient EMG artifact suppression and preservation of the ECG waveform, the method combines a dynamic approximation filtering working in the QRS complexes areas, with a transform domain denoising of the segments outside them. The switching between the two procedures is controlled by the ECG signal slew rate. The results obtained show a virtual preservation of the QRS amplitudes and a considerable reduction of the EMG artifact.
  • Keywords
    Acoustics; Approximation methods; Artificial intelligence; Europe; Instruments; Manganese; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
  • Conference_Location
    Orlando, FL, USA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7402-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.2002.5745502
  • Filename
    5745502