• DocumentCode
    1590598
  • Title

    Influence of the artefact of computerised analysis of 24-hour electrocardiograms on the measurement of spectral components of heart rate variability

  • Author

    Xia, Ruiping ; Odemuyiwa, Olusola ; Murgatroyd, Francis ; Gill, Jaswinder ; Malik, Marek ; Camm, A. John

  • Author_Institution
    St. George´´s Hospital Med. Sch., London, UK
  • fYear
    1992
  • Firstpage
    307
  • Lastpage
    310
  • Abstract
    The authors investigate the effect of an artifact introduced by automated QRS complex recognition on two methods providing spectral heart rate variability (HRV) indices derived from 24-h electrocardiogram (ECG) recordings: (a) fast Fourier transformation and (b) peak-to-trough analysis. Both methods were used to measure the HRV spectra of 557 postmyocardial infarction patients before and after manual editing of the automated analysis. The low-, medium-, and high-frequency HRV components were calculated. For each method and each spectral component the results obtained from unedited and edited ECG analysis were compared. Both methods were substantially affected by the artifact. Spectral HRV analysis should be performed only on carefully verified 24-h ECG recognition
  • Keywords
    electrocardiography; medical signal processing; spectral analysis; 24 hr; 24 hr ECG; automated QRS complex recognition; computerised analysis artefact; fast Fourier transformation; heart rate variability; peak-to-trough analysis; postmyocardial infarction patients; spectral components measurement; spectral heart rate variability indices; Algorithm design and analysis; Electrocardiography; Heart rate; Heart rate variability; Hospitals; Interpolation; Neural networks; Performance analysis; Performance evaluation; Spectral analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 1992, Proceedings of
  • Conference_Location
    Durham, NC
  • Print_ISBN
    0-8186-3552-5
  • Type

    conf

  • DOI
    10.1109/CIC.1992.269370
  • Filename
    269370