• DocumentCode
    1146176
  • Title

    Reduction of electromyographic noise in the signal-averaged electrocardiogram by spectral decomposition

  • Author

    Barbosa, P.R.B. ; Barbosa, E.C. ; Nadal, Jeremy

  • Author_Institution
    COPPE, Fed. Univ. of Rio de Janeiro, Brazil
  • Volume
    50
  • Issue
    1
  • fYear
    2003
  • Firstpage
    114
  • Lastpage
    117
  • Abstract
    This paper proposes a technique to improve the quality of high-resolution electrocardiogram by weighting the coherent average of beats by a function of the energy of the corrupting myoelectric noise, prior to subsequent detection of ventricular late potentials. The results obtained with 20 patients indicate the method requires fewer beats than conventional nonweighted average to achieve the same noise level.
  • Keywords
    electrocardiography; electromyography; medical signal processing; noise; spectral analysis; ECG; EMG; beats coherent average weighting; conventional nonweighted average; corrupting myoelectric noise energy; electrodiagnostics; electromyographic noise reduction; high-resolution electrocardiogram quality improvement; spectral decomposition; Biomedical engineering; Biomedical measurements; Electrocardiography; Electromyography; Hospitals; Noise measurement; Noise reduction; Signal to noise ratio; Wiener filter; Working environment noise;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2002.807317
  • Filename
    1179139